Tag Archive for: AWS Training

The Evolving AWS Well-Architected Framework

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The AWS Well-Architected Framework has undergone significant updates to adapt to the evolving landscape of cloud computing, particularly in response to advancements in data, Artificial Intelligence (AI), and Machine Learning (ML).

These changes to the framework continue to ensure that organisations can design and operate secure, high-performing, resilient, and efficient infrastructure for their applications.

Evolution of the AWS Well-Architected Framework

The framework was first introduced in 2015 to guide cloud architects in building resilient and efficient applications.
Originally it was centred around five key pillars—Operational Excellence, Security, Reliability, Performance Efficiency, and Cost Optimisation. Over the years, AWS has refined the framework to ensure it remains relevant in an ever-changing cloud landscape.

In 2021, AWS added the Sustainability pillar, emphasising the importance of environmental considerations in cloud architecture. So the current version now has six key pillars:

  1. Operational Excellence
  2. Security
  3. Reliability
  4. Performance Efficiency
  5. Cost Optimisation
  6. Sustainability

By 2022, AWS had introduced dedicated pages for each consolidated best practice across all six pillars, enhancing prescriptive guidance. By December 2024, more than 75% of the Framework’s best practices had been improved, reflecting AWS’s commitment to continuous enhancement.

Impact of Data, AI, and Machine Learning on the Framework

The rapid advancement of data analytics, AI, and ML has significantly influenced the AWS Well-Architected Framework.
Recognising the unique challenges and requirements of ML workloads, AWS introduced the Machine Learning Lens. This extension provides tailored guidance for designing and operating ML workloads, ensuring they align with the framework’s best practices.

The Machine Learning Lens addresses various aspects of the ML lifecycle, including data processing, model training, deployment, and monitoring. It emphasises principles such as automation, reproducibility, and continuous improvement, which are crucial for maintaining the reliability and performance of ML systems. By integrating these principles, organisations can build ML workloads that are not only effective but also sustainable and secure.

Additionally, AWS has acknowledged the role of generative AI in expediting and scaling Well-Architected Framework reviews.

By automating document analysis and utilising a knowledge base aware of the framework, organisations can conduct rapid and in-depth assessments. This integration of AI streamlines the evaluation process, helping organisations build secure, high-performing, resilient, and efficient infrastructure.

External Perspectives on the Framework’s Evolution

Industry experts have observed that the 2023 updates to the AWS Well-Architected Framework reflect AWS’s commitment to addressing the evolving needs of modern enterprises. The updates span all pillars of the framework, offering businesses a more comprehensive roadmap for navigating the digital landscape.

Additionally, discussions around building resilient AI systems highlight the relevance of well-architected design. The framework can be applied to different phases of the AI lifecycle, including business goal setting, ML problem framing, and data processing, ensuring that AI initiatives are robust and aligned with organisational objectives.

AWS Architecture Training

To support professionals in mastering the AWS Well-Architected Framework and its applications in AI and ML, AWS offers a range of courses:

  • Architecting on AWS 3-day course: This course covers the fundamentals of building IT infrastructure on AWS, focusing on the AWS Well-Architected Framework. It is ideal for those new to AWS architecture or preparing for the AWS Certified Solutions Architect – Associate exam.
  • Advanced Architecting on AWS 3-day course: This is a professional level course that builds on your knowledge from Architecting on AWS and dives deeper into complex, scalable, and secure solutions. It covers multi-account strategies, hybrid connectivity, advanced networking, security, high availability, and cost management.
  • Practical Data Science with Amazon SageMaker 1-day course: This course adds to the core architecture skills by providing hands-on experience in building, training, and deploying ML models using Amazon SageMaker.

Achieving Certification

Obtaining the AWS Certified Solutions Architect – Associate certification will validate your ability to design secure, scalable, and cost-efficient cloud solutions, demonstrating expertise in AWS best practices. And if you have at least 2 years of experience designing and deploying cloud architecture on AWS, then you could go for the AWS Certified Solutions Architect – Professional certification.
These certifications enhance career opportunities by making you a more competitive candidate for cloud architecture roles, as AWS certifications are highly respected in the industry.

Get started with Bespoke Training

The AWS Well-Architected Framework has evolved to incorporate advancements in data, AI, and ML, providing organisations with comprehensive guidance to build and operate robust cloud infrastructures. Through continuous updates and training opportunities, Bespoke ensures that professionals are well-equipped to navigate the complexities of modern cloud architectures.

For individuals and organisations seeking official AWS Associate or Advanced Architecture training courses, feel free to view our Training Directory for our current public schedule courses.

Bespoke can also offer customised programs including team lunch and learns on the framework and can run flexible training courses if you have at least 5 students to upskill. The latest training will ensure that your team is equipped with the knowledge and skills to implement architecture best practices effectively.

Get in touch with Bespoke to talk through the best options available for you and your team.

IT Strategy for Uncertain Times

The rapid pace of technological advancement, economic volatility, and evolving cyber threats make managing IT teams and systems more complex than ever.

In this uncertain landscape, IT leaders must balance agility with stability, ensuring their teams remain skilled, resilient, and prepared for the future.

The Challenges Facing IT Leaders Today

1. Talent Shortages and Skills Gaps

The demand for cloud, cybersecurity, and AI expertise continues to outpace supply. Many organisations struggle to find and retain skilled IT professionals, leading to project delays and increased workloads on existing staff.

2. Hybrid Work and Collaboration

With remote and hybrid work models now the norm, IT teams must manage distributed infrastructures, secure remote access, and facilitate seamless collaboration. Ensuring employees have the right tools and security measures in place is a constant challenge.

3. Cost Pressures and Budget Constraints

Economic uncertainty has forced many organisations to tighten budgets, making it essential to demonstrate the ROI of IT investments. Optimising cloud spend and maximising existing resources is key to maintaining efficiency.

4. Cybersecurity and Compliance Risks

As cyber threats grow more sophisticated, IT leaders must stay ahead of emerging risks while ensuring compliance with regulatory frameworks. Proactive security measures, staff training, and incident response planning are crucial.

5. AI Replacing Coders and IT Jobs

The rise of AI-powered tools is reshaping IT roles, automating coding, system monitoring, and security analysis. While AI enhances efficiency, it also raises concerns about job displacement. IT professionals must focus on developing higher-order problem-solving skills, cloud architecture expertise, and AI governance knowledge to remain relevant.

Strategies for Managing IT Teams and Systems Effectively

  1. Prioritise Continuous Learning
    Investing in upskilling and certification ensures your team remains at the cutting edge of technology. Cloud platforms such as AWS and Microsoft Azure evolve rapidly, and ongoing training helps IT professionals keep pace with new capabilities.
  2. Adopt a Cloud-First Mindset
    Cloud adoption offers scalability, cost savings, and resilience in times of uncertainty. IT leaders should focus on optimising cloud environments, using cost-monitoring tools, and implementing governance frameworks to prevent overspending.
  3. Strengthen Cybersecurity Measures
    A zero-trust approach, regular security training, and incident response drills help mitigate risks. Ensuring teams are well-versed in cloud security best practices reduces vulnerabilities and enhances organisational resilience.
  4. Foster a Culture of Agility and Adaptability
    Encouraging collaboration, knowledge sharing, and flexible problem-solving equips IT teams to respond effectively to disruptions. Agile methodologies, DevOps practices, and automation can enhance operational efficiency and innovation.

Future-Proof Your IT Team with Bespoke Training

Navigating uncertainty requires a skilled and adaptable workforce. Investing in cloud skills development ensures your IT team is ready for the challenges ahead.

Bespoke Training offers a FREE Cloud Skills Assessment to identify your organisation’s strengths and gaps. We provide a personalised training plan tailored to your needs, helping you optimise cloud adoption, security, and team capabilities.

Take the first step towards a future-proof IT strategy—contact Bespoke Training today to book your Cloud Skills Assessment and empower your team with the expertise they need to thrive.

2025 Essential IT Certifications for Career Success

In Australia and New Zealand’s competitive IT landscape, certifications can be a game-changer for both professionals and teams.

For IT professionals, earning certifications can set you apart—whether you’re advancing in your current role, exploring emerging technologies, or pursuing new career opportunities. For IT managers, certifying your team ensures they stay ahead of industry trends, boosting your organisation’s capabilities and credibility.

Certifications from leading cloud providers like AWS and Microsoft continue to rank among the most valuable credentials in the industry. With rapid advancements in areas like security, data, generative AI, and machine learning, staying certified keeps you and your team at the forefront of innovation.

Let’s explore the top AWS and Microsoft certifications that can sharpen your skills and position your team for success in 2025:

AWS Certifications for 2025

1. AWS Certified Solutions Architect – Professional

The AWS Certified Solutions Architect – Professional certification remains one of the most sought-after credentials in cloud computing. It demonstrates your ability to design and implement complex, scalable AWS solutions that meet business requirements. With cloud adoption continuing to grow, professionals with this certification are in high demand across industries.

Learning Path:

2. AWS Certified Machine Learning – Specialty

Machine learning and AI are transforming industries, making the AWS Certified Machine Learning – Specialty certification a valuable asset. This certification validates your skills in building, training, and deploying machine learning models on AWS. As organisations increasingly adopt AI-driven solutions, this credential can significantly boost your career prospects.

Learning Path:

3. AWS Certified Security – Specialty

With cybersecurity threats on the rise, organisations are prioritising cloud security. The AWS Certified Security – Specialty certification is ideal for IT professionals focused on securing AWS workloads. It covers topics such as identity and access management, data protection, and incident response, making it an essential credential for security-focused roles.

Learning Path:

4. AWS Certified Gen AI Specialty

The newly launched AWS Certified Gen AI Specialty certification is designed for professionals who want to build expertise in generative AI solutions on AWS. This certification validates your knowledge of deploying and managing generative AI models, a rapidly growing field that is transforming industries. As generative AI becomes more integrated into business processes, this certification can set you apart as an expert in this emerging technology.

Learning Path:

Microsoft Certifications for 2025

1. Microsoft Certified: Azure Solutions Architect Expert

The Azure Solutions Architect Expert certification remains a top choice for IT professionals working with Microsoft’s cloud platform. It validates your ability to design and implement Azure solutions that align with an organisation’s goals. With Azure continuing to gain market share, this certification is highly valued by employers.

Learning Path:

2. Microsoft Certified: Power BI Data Analyst Associate

Data is at the heart of digital transformation, and organisations need professionals who can make sense of it. The Power BI Data Analyst Associate certification demonstrates your ability to use Power BI to create data-driven insights and reports. As businesses strive to become more data-driven, this certification is increasingly relevant.

Learning Path:

  • PL-300T00: Microsoft Power BI Data Analyst

3. Microsoft Certified: AI Engineer Associate

As artificial intelligence becomes more integrated into everyday business operations, the AI Engineer Associate certification is a valuable credential. It validates your skills in building AI solutions using Microsoft’s tools, including Azure AI services. This certification is ideal for professionals looking to work on cutting-edge AI projects.

Learning Path:

The importance of instructor-led training

Achieving these certifications requires more than just self-study. Cloud training solutions tailored to your specific needs can make a significant difference in your learning journey. Whether you prefer instructor-led training, virtual sessions, or hands-on labs, a customised approach ensures you gain the practical skills required to pass your exams and apply your knowledge in real-world scenarios.

At our training organisation, we offer flexible training options to suit your schedule and learning style. From Lunch and Learn sessions to dedicated courses on AWS and Microsoft, we’re here to help you achieve your goals. Investing in the right training can accelerate your career growth and ensure you stay competitive in the ever-changing IT landscape.

For more information on the latest certifications and training options, feel free to reach out to Bespoke and we can create a customised learning plan for you and your team.

Generative AI Trends You Can Not Ignore in 2025

Generative AI is no longer a futuristic concept confined to research labs—it is now transforming industries, workflows, and even creative processes. Companies like AWS and Microsoft are driving innovation in this space, making it crucial for businesses to stay ahead of the curve.

Here are the top five emerging trends in generative AI that you need to know about to remain competitive in 2025:

1. Personalised AI Agents

AI agents are evolving beyond basic chatbots into highly specialised, personalised tools that can automate complex tasks. These agents are being integrated into business operations to handle customer service, sales support, and even technical troubleshooting. Microsoft’s Copilot is a prime example, using generative AI to assist users in writing emails, creating presentations, and even coding.

AWS is also making strides with AI agents through its Bedrock service, allowing businesses to build customised AI agents that can interact with customers or perform backend tasks. As these agents become more advanced, they will transform how businesses operate, offering both time and cost efficiencies.

Companies like CareerOne are utilising personalised AI agents to drive AI-powered video interviews.

2. Synthetic Data for Model Training

One of the biggest challenges in AI development is the availability of high-quality, unbiased data. Enter synthetic data—artificially generated data that mimics real-world datasets without compromising privacy. This trend is gaining traction as organisations look for ways to train their AI models without dealing with sensitive customer information.

AWS and Microsoft are investing in synthetic data solutions to help businesses overcome data limitations. Synthetic data is particularly valuable in sectors like healthcare and finance, where privacy regulations are stringent.

3. AI-Powered Creative Tools

Generative AI is revolutionising creative industries by enabling businesses to produce content at scale. Microsoft Designer, for example, helps users generate custom graphics and marketing materials using AI. Similarly, AWS offers tools through SageMaker JumpStart that allow businesses to build AI models for content creation.

These tools can generate everything from social media posts to video scripts, helping companies save time and personalise their messaging. In an age where digital content is king, AI-powered creative tools are becoming essential for marketing and brand management.

4. Multimodal AI Models

The future of AI lies in multimodal models—systems that can understand and generate content across multiple data types, such as text, images, audio, and video. These models are opening up new possibilities for applications in gaming, virtual training, and e-commerce.

Imagine a virtual assistant that can not only answer questions verbally but also generate a video tutorial or a 3D product model. Both AWS and Microsoft are exploring multimodal capabilities, aiming to create more intuitive and versatile AI solutions.

Key industries from healthcare to ecommerce could benefit from multimodal AI models.

5. Ethical and Regulatory Frameworks

As generative AI becomes more sophisticated, ethical concerns are rising. Issues like bias, misinformation, and data privacy are at the forefront of discussions around AI governance. Microsoft and AWS are both committed to developing responsible AI frameworks to ensure their technologies are used ethically.

This trend is crucial for businesses looking to adopt generative AI responsibly. New regulations are expected to be introduced globally, making it essential for companies to stay informed and compliant.

Stay Ahead with Bespoke’s Latest Courses

Generative AI is evolving rapidly, and keeping up with these trends is vital for businesses looking to stay competitive. From personalised AI agents to synthetic data and multimodal models, the future of AI is both exciting and challenging.

To stay ahead, your team needs the right training. Bespoke offers the latest instructor-led courses on AWS and Microsoft technologies, including new generative AI offerings.

Contact Bespoke today to find out how we can help your team build the skills needed to thrive in the AI-driven world of tomorrow.

Use AWS Jams To Master Real-World Cloud Skills

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The rapid pace of cloud technology requires constant learning and adaptation. One innovative way Bespoke Training is bridging the gap between theoretical knowledge and practical skills is through AWS Jams.

But what exactly are AWS Jams, and why have they become a popular training format for cloud professionals?

AWS Jams are gamified, immersive, hands-on learning sessions designed to push students beyond basic cloud concepts, placing them in simulated environments where they must solve real-world challenges.

Typically conducted in groups, these experiences are a blend of learning, competition, and practical application. While AWS training traditionally focuses on learning AWS services through lectures or guided labs, Jams take it a step further by challenging participants to apply their skills to scenarios that mimic actual business or security situations.

How AWS Jams Work

During an AWS Jam, participants are presented with a series of scenarios, referred to as challenges, which they must solve within a set timeframe. Each challenge is unique and demands a mix of creative thinking, technical know-how, and collaboration. These challenges span a broad range of AWS competencies, such as security, artificial intelligence, data analytics, DevOps, and more.

Teams compete to earn points based on how quickly and accurately they resolve challenges, with real-time leaderboards adding an extra layer of excitement. The format of AWS Jams makes them highly engaging and an excellent means of reinforcing critical cloud skills in a short period.

Also, the competitive aspect helps participants stay focused, collaborate efficiently, and think critically — all essential skills in today’s workplace.

Benefits of AWS Jams

  • Real-World Experience: AWS Jams simulate real-world challenges, allowing participants to develop solutions that can directly translate into their professional tasks. This hands-on, trial-by-fire approach makes it easier to retain and apply what they learn
  • Team Collaboration: AWS Jams are collaborative, encouraging participants to work as a team to tackle complex issues. This not only reinforces cloud skills but also cultivates teamwork and communication
  • Problem-Solving Under Pressure: Real-time challenges provide an opportunity to test and refine one’s ability to make informed decisions quickly. This can be especially beneficial for roles that require a high level of responsiveness and adaptability.
  • Customisation: Organisations can request tailored AWS Jam sessions that focus on specific skills or scenarios relevant to their industry. Custom Jams ensure that participants gain skills that are immediately applicable to their work environment.

Get Started with Bespoke Training Solutions

AWS Jams are perfect for teams looking to enhance their expertise, develop their problem-solving skills, and gain hands-on experience. Whether you’re a DevOps engineer, security analyst, data scientist, or cloud architect, an AWS Jam can offer your team valuable insights that advance your knowledge.

At Bespoke, we believe that hands-on experience is key to mastering AWS. Interested in experiencing the thrill and challenge of an AWS Jam? Talk to Bespoke to book your own AWS Jam today and supercharge your team’s cloud capabilities.

Optimise your cloud costs with FinOps

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Cloud computing has transformed the landscape of IT, offering unparalleled flexibility and scalability. Yet, as organisations embrace the cloud, they also face a new challenge—managing unpredictable costs.

FinOps, short for Financial Operations, has emerged as the answer to this complexity, helping businesses decode the messages hidden in their cloud bills. But what exactly is your cloud bill trying to tell you?

Reading Between the Lines of Your Cloud Bill

An unexpected spike in your cloud bill might feel like an alert demanding your attention. Cloud services operate on a pay-as-you-go model, where every operation—from virtual machines to storage and data transfer—can add up quickly. If costs spiral out of control, it’s often due to underutilised resources, suboptimal configurations, or running workloads in more expensive regions.

FinOps empowers organisations to transform these cost challenges into opportunities for optimisation. This practice bridges the gap between finance, IT, and operations, ensuring every cloud dollar spent aligns with business objectives. FinOps is about more than just cutting costs; it’s about gaining value from your cloud investment. Gartner describes it as a process of continuous collaboration and improvement between different teams.

The Rise of FinOps: Turning Complexity into Opportunity

FinOps isn’t just a set of tools or cost-cutting measures—it’s a cultural shift. Traditionally, finance teams and IT departments worked in silos, but the cloud era demands collaboration. Real-time cost insights enable informed decision-making, allowing teams to innovate while keeping expenses in check.

The three core pillars of FinOps—visibility, optimisation, and governance—help organisations navigate the complexity of cloud costs. Visibility ensures every team understands and monitors their cloud spending. Optimisation focuses on rightsizing resources, implementing reservation strategies, and eliminating waste. Governance establishes policies and controls to maintain budgetary discipline and prevent runaway expenses.

For a detailed guide on FinOps best practices, check out AWS’s Cost Management resources and Microsoft’s Azure Cost Management documentation.

Why FinOps Matters Now More Than Ever

With tighter budgets and economic uncertainty, organisations must justify every penny of their cloud investment. FinOps transforms cloud spending from a reactive burden into a proactive business enabler, allowing for innovation without the fear of waste.

Getting Upskilled with AWS and Microsoft saves money

If you’re ready to take control of your cloud costs, upskilling in cloud financial management is a smart move. Bespoke Training offers a range of flexible AWS and Microsoft courses that can help your teams master FinOps best practices, understand cost management tools, and optimise cloud spend.

  • AWS Cloud Financial Management for Builders: This instructor-led course equips teams with cost management skills, covering tools like AWS Cost Explorer, AWS Budgets, and AWS Cost and Usage Reports. Learn how to monitor, control, and optimise your AWS costs for maximum impact
  • Microsoft Azure Cost Management and Billing: Gain insights into cost tracking and optimisation for Azure resources. This course focuses on using Azure’s Cost Management tools, setting budgets, tracking usage, and implementing policies for effective cost governance.

Bespoke Training’s instructor-led courses offer flexibility so that your team can be trained at a time and place suitable to the needs of your organisation. Upskilling will ensure your team is well-equipped to decode the messages your cloud bill is sending and drive financial efficiency. Don’t let unpredictable costs derail your cloud journey—embrace FinOps and gain clarity, optimisation, and control.

Contact Bespoke Training today to learn how our flexible AWS and Microsoft courses can help you master FinOps, optimise cloud costs, and align technical decisions with financial goals.

5 AWS services every cloud professional needs to know

Amazon Web Services (AWS) is a comprehensive and widely adopted cloud platform that offers a wide range of services for every business need. From computing power to storage, databases, and more — AWS offers great flexibility.

The trade off is that it can be challenging to navigate, and narrow down which services are right for your business and your needs.

In this article, we’ll explore some of the most critical AWS services and discuss how they can be leveraged to suit your organisation.

1. Amazon EC2 (Elastic Compute Cloud)

Amazon EC2 is one of the most fundamental AWS services, providing scalable computing capacity in the cloud. It allows users to launch virtual servers —or instances— tailored to your computing needs: from small applications to large-scale enterprise workloads.

What you can use it for:

  • Web hosting: Host websites and applications with super scalable computing power.
  • Batch processing: Run large-scale batch processing jobs efficiently.
  • High-performance computing: Use powerful instances for tasks requiring big processing power, like simulations or big data analytics.

2. Amazon S3 (Simple Storage Service)

Amazon S3 is an storage service that offers industry-leading scalability, data availability, security, and performance. It allows users to store and retrieve any amount of data —from anywhere on the web.

What you can use it for:

  • Data backup: Store and protect your critical data securely and cost-effectively.
  • Content distribution: Transmit large amounts of static content (images, videos, etc.) to a global audience —quickly and easily.
  • ‘Big Data’ analytics: Store large datasets for analysis using AWS data analytics tools like Amazon Athena and Amazon Redshift.

3. Amazon RDS (Relational Database Service)

Amazon RDS simplifies the setup, operation, and scaling of relational databases in the cloud. It supports several database engines, including Amazon Aurora, MySQL, PostgreSQL, MariaDB, Oracle, and SQL Server.

What you can use it for:

  • Web applications: Power transactional applications that require high availability and performance.
  • Data warehousing: Manage structured data easily for analytics and reporting.
  • Business applications: Run ERP, CRM, and other business-critical applications with a managed relational database.

4. AWS Lambda

AWS Lambda is a serverless compute service that runs your code in response to events and automatically manages the underlying compute resources. It allows you to focus solely on writing code without worrying about server management.

What you can use it for:

  • Real-time file processing: Process files in real-time, such as generating thumbnails or transcoding videos, as they are uploaded to S3.
  • Backend for web and mobile applications: Build serverless APIs and manage backend logic without managing servers.
  • Automated tasks: Trigger functions to automate tasks like responding to changes in data, monitoring, and executing workflows.

5. Amazon VPC (Virtual Private Cloud)

Amazon VPC enables you to provision a section of the AWS cloud where you can launch AWS resources in a virtual network, within your own defined parameters. It provides complete control over your virtual networking environment.

What you can use it for:

  • Secure cloud environments: Build a secure environment for running applications and storing sensitive data.
  • Hybrid cloud: Extend your on-premises network to the cloud, maintaining secure communication between your data center and AWS.
  • Custom network configurations: Configure custom IP ranges, subnets, and route tables to meet specific networking requirements.

These are just a few of AWS’s key services —services that act as the building blocks for robust, scalable, and cost-effective solutions in the cloud. By understanding the capabilities and use cases of these tools, you’re able to choose the right configuration to meet your business objectives.

At Bespoke Training, we know that mastering AWS services is crucial for leveraging the cloud effectively. Our structured AWS training courses are designed to bridge the knowledge gap, equipping your team with the skills to use these essential services to their full potential.

It’s time to take your cloud strategy to new heights. If you’re just getting started, check out our Technical Essentials course to dive deeper into some of these services. Or, if you’re ready to expand your knowledge, get in touch to find the best learning path for you and your team today.

Kick-Start Your AWS Cloud Journey: A Beginner’s Guide

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Amazon Web Services (AWS) has become synonymous with cloud computing, and still holds the largest market share in the cloud infrastructure market. With a wide range of services, AWS is aimed at helping businesses to scale, innovate, and operate more efficiently.

But with such a powerful technology —endlessly configurable and highly adaptable— starting out on your AWS journey can feel a bit daunting.

Let’s dive in to walk through the basics of AWS solutions and how you can get started building your first AWS environment, to help you kick-start your cloud computing education.

What is AWS?

AWS has grown into the leading cloud services provider, offering over 200 fully-featured services from its global data centres. It provides powerful infrastructure that supports a variety of use cases, from start-ups to large enterprises.

With AWS, businesses can easily scale based on demand, benefit from world-class security standards, and harness a global footprint with reduced latency and improved performance when deploying applications. At its core, AWS empowers companies to move faster, be agile and boost innovation.

Key benefits of using AWS

While there are a number of cloud providers in play, AWS firmly sits as a market leader due to a few value propositions that allow teams to get more from their cloud infrastructure:

  • It’s super scalable: AWS makes it easy to scale your solution up or down based on the demands of the business.
  • It’s easy to manage cloud costs: With pay-as-you-go pricing, teams only pay for what they use —which makes cost optimisation super simple.
  • It’s highly secure and great for compliance: AWS features world-class security standards, meaning companies can rest assured they’re meeting compliance requirements.

How to get started — Setting up your AWS account

Before you get started with AWS, you’ll need to set up an account. There are a couple of easy steps involved:

  1. Visit the AWS website and click on “Create an AWS Account.”
  2. Enter your email address and set a password.
  3. Provide your billing information.
  4. Verify your identity, usually via phone.
  5. Select a support plan (basic support is free!)

Once your account is set up, you can log in to the AWS Management Console using your new account credentials and get familiar with the dashboard and navigation options. From there, it’s time to get into the good stuff!

Essential AWS compute services for beginners

AWS offers a variety of core services that are essential for beginners to understand:

  • EC2 (Elastic Compute Cloud): Allows you to launch virtual servers in the cloud.
  • S3 (Simple Storage Service): Enables you to store and manage files in the cloud.
  • RDS (Relational Database Service): Makes it easy to set up, operate, and scale a relational database in the cloud.
  • IAM (Identity and Access Management): Helps you securely control access to AWS services and resources.

A solid understanding of these core principles and services is a strong foundation for your AWS journey. These services not only cover the basic needs of computing, storage, and database management but also ensure that your cloud environment is secure —and well-optimised.

AWS Virtual Private Cloud

One of the key benefits of using AWS is the ability to establish a VPC (Virtual Private Cloud). A VPC allows you to logically isolate your resources in the cloud —from here, you can create and configure subnets, route tables, and gateways to give yourself greater control, and increase the security of the environment.

Network ACLs (Access Control Lists) help to manage inbound and outbound traffic to your VPC instances and help your infrastructure to run more efficiently.

Monitoring and managing your AWS environment

Implementing best practices for security and optimisation is critical. Consider things like multi-factor authentication (MFA) for your AWS account, and regularly review and rotate IAM credentials.

It’s also critical to choose the right instance types and storage options for your needs, to help with cost and resource optimisation. You can also look into tools like auto-scaling to automatically adjust resources based on demand.

Want to supercharge your learning? Training is your best friend!

If this all still sounds a little overwhelming, you’re definitely not alone. The best way to increase your confidence and skill set in the world of AWS is to invest in some quality training.

Our fundamental level one-day courses like AWS Technical Essentials is designed to give you a solid foundation to build your AWS knowledge. It will cover basic terminology, how to navigate the AWS management console, and outline some fundamental use-cases for the compute services like networking, EC2, Lambda and ECS mentioned above.

On top of that, we take you through the basics of best-practice cloud management. From cost optimisation and security to UAM and monitoring services, you’ll have access to top instructors in the sector to help you get a handle on how to best run and manage your AWS solution.

Choose your AWS Learning Path

If you’re wanting a little more structure to help you find your feet, we’ve got learning paths that can take you from novice to pro. If you’re just starting out, take a look at the Cloud Practitioner learning path. Once you’ve got the basics covered, you can dive deeper into our Migrating, Security or Technical Essentials learning paths to take your learning journey further.

If you’re just starting to dip your toe in the water of cloud computing, download this free guide to AWS training at Bespoke or explore our learning paths in more detail.

Bespoke is here to help

Bespoke can help you find the right learning path for you, based on your current knowledge and your career goals. From fundamentals to specialities and training for certifications, we’ve got courses to support your learning with expert-led virtual training.

With world-class AWS certified instructors and hands-on labs, this training is built to enhance your understanding of AWS services.

Ready to take your AWS skills to the next level? Bespoke offers comprehensive AWS training programs designed to empower you with the knowledge and skills needed to excel. Get in touch with our team, or browse our training directory to kick-start your AWS learning journey today!

Leveraging Data-Driven Innovation Using The Cloud

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Access to good data is no longer a business luxury; it’s a necessity. Organisations across industries are increasingly leveraging data to speed up decision-making, streamline operations, and drive innovation.

Data-driven innovation means using data to inform and inspire growth — in ideas, products, services, and processes. This approach is transforming industries, from healthcare to finance to retail. By analysing vast amounts of data, companies can uncover trends, predict future behaviours, and make informed decisions that drive progress.

There are many benefits to a data-driven approach: enhanced decision-making, improved efficiency —and ultimately, a significant competitive edge. But, it’s not quite as simple as hitting ‘go’ on data: good data is underpinned by good tech.

Cloud empowers data-driven innovation

To that end, it’s easy to see why cloud computing is key to data-driven innovation. It provides the infrastructure for storing, processing, and analysing vast amounts of data efficiently —and cost-effectively. Cloud platforms offer scalability, flexibility, and accessibility, making it ideal for data-driven initiatives.

How to get started with a data-driven approach

Transition to a data-driven approach in a few key steps:

1. Build a data-centric culture

Organisations need to build a data-centric culture where data-driven decision-making is the norm, and employees at all levels to value and utilise data in their daily tasks. Leaders should promote transparency and data sharing, ensuring that everyone understands the importance of data in driving business success.

2. Assess your current data capabilities

It’s a good idea to conduct a comprehensive audit to identify gaps and areas for improvement in your company’s current data capabilities. This helps in developing a roadmap, seeing where you could increase focus, and ensures that the organisation is prepared to leverage data effectively.

3. Develop a data strategy

A well-defined data strategy is crucial. This strategy should outline clear objectives and limitations for data usage that align with the organisation’s overall goals. It should address key areas such as data collection, storage, analysis, and governance.

4. Invest in the right tools and technologies

Choosing the appropriate cloud platforms, analytics tools, and machine learning frameworks is essential for effective data utilisation. Organisations should prioritise investment in cloud solutions that are scalable, flexible, and capable of integrating with existing systems. The right tools enable seamless data processing, analysis, and collaboration, driving innovation across the business.

5. Prioritise data governance

Establishing policies and practices for data management, privacy, and security is critical for maintaining data integrity and compliance with regulations. This involves defining roles and responsibilities, setting data standards, and implementing security measures to protect sensitive information.

6. The most important step? Train your team

As a cloud training provider, we understand the importance of cloud training in empowering data-driven strategies. By equipping professionals with the skills to use cloud technologies, we enable organisations to maximise their data’s potential. Cloud training encompasses a range of skills, from data management to analytics to machine learning, all of which are crucial for data-driven innovation.

Encouraging employees to participate in ongoing training and certification programs can keep the workforce up-to-date with the latest cloud advancements, fostering a culture of continuous improvement —and innovation.

Ready to put your data to work? Start with training your team.

Data-driven innovation is transforming industries —and cloud training plays a key role in this journey. By fostering a data-centric culture, investing in the right tools, and equipping professionals with cloud skills, organisations can accelerate their innovation efforts.

The future belongs to those who can effectively put data to work, and cloud training is the key to unlocking this potential.

AWS and Microsoft Azure Data courses

Both major cloud providers have excellent courses to help you upskill in data.

With AWS, there are a series of 4 x 1-day courses that will enable students to gain a comprehensive understanding of AWS data services and how to leverage them for effective data management and analytics:

If you are looking for a data certification with AWS, the one to aim for is the AWS Certified Data Engineer – Associate.

With Azure, the best option is jump right in to the data fundamentals course:

If you are seeking a data certification with Azure, there is the Azure Data Engineer Associate for data engineers who manage and secure data using a range of Azure data services, or if you manage data ingestion, preparation, model training, deployment, and machine learning solution monitoring, then you would be looking for the Azure Data Scientist Associate certification.

Ready to accelerate your data-driven innovation journey? If you would like to talk to Bespoke about creating a learning plan to achieve your data certification just reach out to us.

How to use AWS Marketplace to book your team’s cloud training

Cloud training has become a cornerstone for teams and organisations looking to stay competitive in a rapidly-evolving tech landscape. But, navigating the process of procuring cloud training for your team can often be cumbersome —and time-consuming.

The solution? If you’re already an AWS customer, take a look at booking your AWS training through AWS Marketplace. It’s a seamless and efficient solution guaranteed to streamline your cloud training procurement process.

The Importance of Cloud Training

Before diving into the benefits of using AWS Marketplace for cloud training, let’s recap why cloud training is essential for your team. As businesses increasingly rely on cloud technologies to drive growth and efficiency, having a skilled workforce proficient in cloud computing is key to long-term success.

Quality training equips your team with the knowledge and skills needed to harness the full potential of cloud platforms like AWS. It enables them to drive innovation, optimise operations, fortify your security measures and ultimately, deliver on business objectives. And a bonus? Ongoing training and upskilling helps to keep your top performers engaged and fulfilled at work.

Why Use AWS Marketplace for Cloud Training?

If you’re already an AWS customer, AWS Marketplace is the ideal platform for procuring cloud training for your team. Why? Let’s break it down.

One vendor, one bill
With AWS Marketplace, you can streamline your procurement process by consolidating all your cloud training purchases into a single bill from a trusted vendor. This simplifies the approval process and reduces administrative overhead, allowing you to focus on what matters most –empowering your team with the skills they need to succeed.

Fast and easy process
Unlike traditional procurement methods that can involve lengthy contract agreements and supplier approvals, booking cloud training through AWS Marketplace is fast and straightforward —so you can get the training you need, when you need it. With just a few clicks, you can sign up for training courses, eliminating ongoing back-and-forth and accelerating speed to competency.

Get access to the trusted vendors through AWS Marketplace
Through AWS Marketplace, businesses get access to a curated selection of approved vendors and vetted AWS partners, ensuring quality and reliability in their cloud training endeavours. With a streamlined procurement process, accessing top-notch training resources becomes faster and more efficient, so your team can supercharge their skills faster and more effectively.

Train your team with Bespoke

If you’re ready to take the next step and train your team, Bespoke offers a range of Cloud Training Packages designed to cater for teams of all sizes:

Bespoke’s AWS Team Training Packages

We have created some team training packages based on popular options usually selected by Bespoke customers. As you are already aware, AWS default accounts charge in US dollars, which is why we provide our pricing in that currency. You can then select your nominated currency during the transaction, excluding local tax obligations.

Package Inclusions Investment
3 team training package  4 training days per person, a team total of 12 training days USD$7,200
6 team training package 4 training days per person, a team total of 24 training days USD$14,400
9 team training package 4 training days per person, a team total of 36 training days USD$21,600
15 team training package 4 training days per person, a team total of 60 training days USD$36,000
25 team training package  4 training days per person, a team total of 100 training days USD$60,000

With 4 training days per person, this gives you the flexibility to ensure your team has one foundational training day, and then a 3-day associate or advanced level course.

If you’re looking for something a little different, simply reach out to our team. We can build a custom training plan, tailored to your needs, to get your team upskilled and ready for their next challenge.

How to Book Your Cloud Training Package on AWS Marketplace

Booking your cloud team’s training with Bespoke on AWS Marketplace is as easy as 1-2-3. Here’s how it works:

  1. Browse our range of courses: Check out our Course Training Directory on our website. We run AWS courses of all levels, from foundational to advanced. Our courses cover the latest solutions including architecting, developing, devops, AI, machine learning, data analytics and more.
  2. Visit our AWS Marketplace listing: Head to our AWS Marketplace listing and just click on the “Continue” button on the listing page. You’ll be prompted to fill out a brief form with your contact details and any specific requirements or questions you may have.
  3. Let Bespoke take care of the rest: Once you’ve submitted the form, the team at Bespoke will reach out to discuss your training needs in more detail. Bespoke will then submit the AWS Training Package offer through the Marketplace platform. Once you accept the Marketplace offer, then the package will be procured on your nominated AWS account ID.

Why wait? Upskill your team today

With AWS Marketplace, booking cloud training for your team has never been easier. By leveraging the platform’s streamlined procurement process and Bespoke’s vast selection of training options, you can empower your team with the skills they need to thrive.

Ready to supercharge your team’s skills with cloud training? Submit your request through Bespoke’s AWS marketplace listing now to get started on your journey to success!

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