Level Up Your Machine Learning Skills with New AWS Course

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Machine learning (ML) continues to transform how organisations solve complex challenges—from personalised customer experiences to operational efficiency at scale. But developing robust, scalable, and production-ready ML solutions requires more than just good algorithms.

If you’re ready to take your machine learning skills to the next level and engineer real-world ML systems, AWS has a new virtual, instructor-led course designed just for you.

Introducing: Machine Learning Engineering on AWS

This intermediate-level, three-day course—Machine Learning Engineering on AWS—is tailor-made for ML professionals who want to deepen their understanding of how to build, deploy, orchestrate, and operationalise ML solutions on the AWS Cloud.

Whether you’re an aspiring machine learning engineer or a DevOps professional looking to expand your ML know-how, this course will guide you through each critical step of the ML engineering lifecycle.

The curriculum blends theory with practice, combining presentations, live demonstrations, and hands-on labs to ensure you walk away with practical, job-ready skills.

You’ll explore powerful tools like Amazon SageMaker and Amazon EMR, and learn to transform data, select models, train algorithms, and deploy them at scale using AWS’s modern cloud-native infrastructure.

Aligned with the New AWS ML Engineer Associate Certification

This course is also directly aligned with the AWS Certified Machine Learning Engineer – Associate, launched in 2024.
If you’re looking to validate your ability to design and deploy production-grade ML solutions on AWS, this course is an ideal step toward certification.

The hands-on labs and real-world scenarios will help reinforce the practical skills needed to succeed in the exam and in your day-to-day role.

What You’ll Learn

By the end of the course, you’ll be equipped to:

  • Understand ML fundamentals and how they apply within AWS
  • Prepare and transform data for ML using services like SageMaker Data Wrangler and AWS Glue
  • Choose and tune models using SageMaker’s built-in algorithms and tools like Autopilot
  • Deploy models effectively with considerations for scalability, cost, and security
  • Automate ML pipelines with MLOps best practices including CI/CD and monitoring
  • Detect data drift and implement remediation strategies using SageMaker Model Monitor.

Who Should Attend?

This course is ideal for:

  • ML engineers and data scientists with a basic understanding of machine learning concepts and Python
  • Developers and DevOps professionals looking to move into ML engineering
  • Anyone working with ML workflows on AWS who wants to build production-grade systems

Basic familiarity with AWS services, Git, and common Python libraries like Pandas and Scikit-learn is recommended to get the most from the experience.

Why Train with Bespoke?

At Bespoke, we specialise in helping tech teams build future-ready skills through hands-on, instructor-led AWS training.
Our experienced trainers bring real-world insights into every session, making complex topics approachable and applicable. We offer flexible delivery options to suit your team’s schedule—online or face-to-face.

If you’re serious about growing your ML capability and earning a certification that proves it, this course is your next step. Register your interest with Bespoke, and keep an eye out for the first course date coming soon!

3 Key Benefits of Utilising Microsoft’s Power BI

Organisations today need to be data-driven, and tap into powerful tools to transform raw data into meaningful insights. Microsoft’s Power BI is one such tool that’s gaining widespread adoption across industries.

Whether you’re a business analyst, IT professional, or manager trying to make smarter decisions, Power BI can help you visualise data, uncover trends, and make informed choices — faster.

In this blog, we explore three key benefits of utilising Power BI, and why it’s become a staple in the modern data toolbox.

1. Interactive Data Visualisation Made Easy

One of Power BI’s standout features is its ability to create dynamic and interactive data visualisations with just a few clicks. Unlike traditional reporting tools, Power BI enables users to build dashboards that are not only visually appealing but also interactive — allowing end users to drill down into the data in real-time.

With a wide range of custom visuals available through the Power BI Marketplace, organisations can tailor their reports to suit business needs. Whether you’re presenting sales performance, operational metrics or financial data, Power BI makes it easier to spot patterns and anomalies at a glance.

 

According to Microsoft, organisations using Power BI can “turn data into opportunity” by unlocking insights from both cloud and on-premises sources in a unified platform.

2. Seamless Integration with Microsoft Ecosystem

Power BI works exceptionally well within the Microsoft environment. It integrates effortlessly with Excel, Azure, Teams, Dynamics 365, and SharePoint, allowing teams to collaborate using tools they’re already familiar with. This reduces the learning curve and increases user adoption across departments.

For organisations already using Office 365, Power BI adds significant value. Data can be imported from Excel spreadsheets and transformed into live dashboards that are easy to share across the business. Reports can also be embedded directly into Teams or SharePoint, helping to keep data insights front and centre in everyday workflows.

The platform was also listed as the number one “Best business intelligence platform of 2025” by TechRadar.

3. Affordable, Scalable and Secure

Power BI is a cost-effective solution, especially for small to medium-sized enterprises. With a free version for individuals and scalable pricing options for larger teams, organisations can adopt Power BI without a huge upfront investment. Plus, being cloud-based means there’s no need to maintain physical infrastructure.

In terms of security, Power BI adheres to Microsoft’s enterprise-grade standards. Features like row-level security, end-to-end encryption and compliance with data protection regulations (such as GDPR) make it a trustworthy solution for handling sensitive data.

A report by Forrester indicated that organisations using Power BI experience a 366% return on investment over three years through improved decision-making and productivity gains.

Ready to Upskill Your Team in Power BI?

If you’re looking to empower your team with data skills, Bespoke Training offers flexible Power BI training tailored to suit your schedule. With virtual and face-to-face delivery options, our instructor-led sessions make it easy to get started — whether you’re new to Power BI or looking to deepen your skills.

​The PL-300T00: Microsoft Power BI Data Analyst course is a comprehensive training program for individuals aiming to master Power BI and pursue the Microsoft Certified: Power BI Data Analyst Associate certification.​

This official Microsoft course is designed for intermediate-level learners and focuses on equipping participants with the skills to:​

  • Prepare, clean, and transform data using Power Query
  • Model data effectively for performance and scalability
  • Design and create compelling reports and dashboards
  • Apply advanced analytics and AI capabilities within Power BI
  • Manage and share report assets securely across the organisation

The course spans three days and aligns with the skills measured in the PL-300 certification exam, covering areas such as data preparation, modelling, visualisation, and analysis.

To find out more about this course, and upskilling yourself or your team with Microsoft’s Power BI, reach out to the team at Bespoke and take the next step in transforming your business with data.

Cloud and Tech Podcasts Worth a Listen in 2025

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The cloud and tech landscape is constantly evolving, and staying up to date can feel like a full-time job. Podcasts offer a smart, convenient way to keep your finger on the pulse — whether you’re walking the dog, commuting, or grabbing a quick coffee.

Here are five cloud and tech podcasts worth tuning into in 2025, including some global favourites and excellent homegrown Australian options.

1. Cloud Reset – The Podcast

Hosted by tech journalist David Savage, Cloud Reset dives into the ever-changing world of cloud strategy, digital transformation, and the role of leadership in navigating modern IT landscapes.

It’s a thoughtful, conversation-led show with insights from CIOs, tech leaders, and innovators who are reshaping how businesses leverage cloud. Whether you’re in the trenches of IT or leading transformation at the top, this one’s a must.

Have a listen…

2. Cloud Atlas


Taking a slightly more technical lens, Cloud Atlas is ideal for developers, architects, and cloud engineers. With deep dives into cloud architecture, DevOps practices, and platform-specific tips (especially AWS, Azure, and GCP), this podcast is packed with practical takeaways.

Expect a mix of solo episodes and guest interviews that explore real-world use cases, technical patterns, and what’s coming next in the multi-cloud era.

Have a listen…

3. Cloud Pod

One of the most consistent and entertaining cloud news roundups, Cloud Pod blends weekly commentary with humour and solid analysis. The hosts — industry insiders with a knack for translating vendor updates — cover all the big names: AWS, Azure, Google Cloud, and more.

It’s particularly handy if you need to keep pace with the ever-expanding features and services each cloud provider releases.

Have a listen…

4. The Data Cloud Podcast

Produced by Snowflake, The Data Cloud Podcast is more than just a vendor-led show. With interviews from CDOs, data scientists, and cloud practitioners, it covers how organisations are harnessing data in the cloud to drive innovation.

While there’s a slight focus on Snowflake’s ecosystem, the broader themes — data governance, analytics, AI — make it relevant to anyone working in modern tech.

Have a listen…

5. Great Things with Great Tech

An Aussie gem hosted by Anthony Spiteri, Great Things with Great Tech features innovative tech companies doing, well — great things! With a strong focus on cloud-native businesses, SaaS startups, and the tools reshaping enterprise IT, it’s a great way to discover the minds behind the platforms you use (or will soon be using). It’s especially valuable for IT leaders, architects, and developers curious about emerging tech.

Whether you’re a CTO, engineer, or just passionate about cloud and tech, these podcasts offer valuable perspectives for wherever you are in your learning journey.

Have a listen…

Upskill and get certified in AWS and Microsoft

If you’re looking to take that journey further, Bespoke Training is here to help.

As cloud and tech training experts, we deliver high-impact AWS and Microsoft training tailored to your team’s needs — whether you’re building foundational skills or diving into advanced topics like AI, security, or architecture.

Explore our flexible, instructor-led options or chat to us about your next training initiative. Because in a world moving fast, the right training partner makes all the difference.

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.

How Businesses Are Using CoPilot in 2025

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Microsoft CoPilot has rapidly evolved into an essential tool for businesses looking to streamline workflows, boost productivity, and harness the power of AI.

In 2025, its capabilities have expanded significantly, making it a must-have for organisations that want to stay ahead in an increasingly AI-driven world. But what’s new, and how can you ensure your team is maximising its potential? Let’s dive in.

The Evolution of CoPilot

Since its introduction, Microsoft CoPilot has transitioned from a handy AI assistant into a deeply integrated part of the Microsoft 365 ecosystem. In 2025, CoPilot is no longer just a chatbot or a writing assistant; it’s a fully-fledged AI-powered collaborator embedded across Word, Excel, PowerPoint, Outlook, Teams, and beyond.

It leverages advanced machine learning models to interpret context, automate repetitive tasks, and generate high-quality content with minimal input.

CoPilot’s latest advancements include:

  • Deeper customisation – Organisations can now tailor CoPilot’s outputs to align with company-specific guidelines and industry regulations.
  • Enhanced security features – With growing concerns around data privacy, Microsoft has strengthened CoPilot’s security, ensuring compliance with global data protection standards.
  • Integration with third-party apps – CoPilot now works seamlessly with non-Microsoft applications, expanding its usefulness across various business functions.
  • More intuitive automation – AI-driven workflow automation reduces manual intervention, making processes smoother and more efficient.

How Companies Are Leveraging CoPilot

With these new capabilities, businesses are leveraging CoPilot in innovative ways, including:

1. Supercharging Productivity

CoPilot dramatically reduces time spent on repetitive tasks. Employees can generate reports, create presentations, summarise emails, and draft content in a fraction of the time it used to take. With built-in AI-driven insights, CoPilot can even suggest improvements and highlight trends that might otherwise go unnoticed.

2. Improving Communication and Collaboration

In Microsoft Teams, CoPilot has become an invaluable virtual assistant. It summarises meeting notes, generates action items, and even drafts responses based on prior conversations. This ensures that teams stay aligned, even in remote or hybrid working environments.

3. Driving Data-Driven Decision-Making

Excel’s CoPilot integration has made complex data analysis accessible to everyone. Whether it’s forecasting trends, identifying anomalies, or automating financial modelling, businesses can now extract valuable insights without requiring advanced data science skills.

The Skills Gap: Why Training Matters

Despite CoPilot’s ease of use, unlocking its full potential requires a level of digital literacy that many teams lack. The rapid development of AI tools means that businesses need to continuously upskill their workforce to stay competitive.

This is where our Bespoke Skills Assessment and CoPilot Training come in. Our training solutions ensure your team is not just using CoPilot but leveraging it strategically to enhance workflows, improve efficiency, and drive real business value.

Want to see where your team stands? Start with our Cloud Skills Assessment to identify gaps and opportunities. Then, equip your team with practical, hands-on CoPilot training to make the most of AI in the workplace.

Get in touch today and future-proof your organisation with CoPilot expertise!

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.

Improving CI/CD Pipelines with Azure DevOps Services

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Tech teams are currently faced with a fast-paced software development environment, where efficiency and collaboration are paramount. Continuous integration (CI) and continuous delivery (CD) pipelines have become critical components in delivering high-quality software at speed.

Azure DevOps Services, Microsoft’s suite of development tools, provides an integrated platform to enhance these pipelines, offering teams a seamless way to manage the entire software development lifecycle.

Let’s delve into the world of Azure DevOps and look at key services and tools that can really move the needle for software development:

What is Azure DevOps?

Azure DevOps is a cloud-based suite of tools designed to support teams in planning, developing, testing, and delivering software. The platform includes services like Azure Repos, Azure Pipelines, Azure Boards, Azure Test Plans, and Azure Artifacts.

These tools cater to diverse needs, from version control and build automation to project management and testing, ensuring a cohesive workflow.

Key Azure DevOps Services for CI/CD

1. Azure Repos

Azure Repos provides unlimited private Git repositories for version control. Developers can work collaboratively, review code through pull requests, and ensure quality using branch policies. By integrating with Azure Pipelines, changes in code repositories can automatically trigger builds and deployments, streamlining the CI/CD process.

2. Azure Pipelines

Azure Pipelines is a powerful tool for building, testing, and deploying code across multiple platforms, including Windows, macOS, and Linux. It supports a variety of programming languages and frameworks, such as .NET, Java, Python, and Node.js. Azure Pipelines integrates seamlessly with GitHub, Bitbucket, and other repositories, enabling automated workflows from code commit to production deployment.

3. Azure Boards

Effective project management is crucial for CI/CD. Azure Boards offers work item tracking, Kanban boards, and agile tools to help teams plan and monitor progress. By connecting Azure Boards with Azure Pipelines, teams can link work items to code changes and builds, enhancing traceability and accountability.

4. Azure Test Plans

Testing is a cornerstone of a reliable CI/CD pipeline. Azure Test Plans provides manual and exploratory testing capabilities to ensure software quality. It integrates with Azure Pipelines for automated test execution, making it easier to identify and address issues early in the development cycle.

5. Azure Artifacts

Azure Artifacts simplifies dependency management by hosting and sharing packages such as NuGet, npm, and Maven. Teams can create and manage package feeds directly within Azure DevOps, ensuring that CI/CD pipelines have access to the necessary components for successful builds and deployments.

Benefits of Azure DevOps for CI/CD Pipelines

These are the four key benefits that help tech teams that use Azure DevOps tools:

  • Automation and Efficiency: Azure DevOps automates repetitive tasks, reducing human error and speeding up delivery cycles.
  • Scalability: With its cloud-based infrastructure, Azure DevOps scales effortlessly to accommodate growing teams and projects.
  • Integration and Flexibility: Azure DevOps integrates with numerous third-party tools and services, allowing teams to customise their workflows.
  • Enhanced Collaboration: Real-time updates, shared repositories, and linked work items foster collaboration across distributed teams.

Upskilling in Azure DevOps with Bespoke Training

To get started with Azure DevOps, Bespoke Training offers flexible training courses tailored to your team’s needs. Courses like AZ-400T00: Designing and Implementing Microsoft DevOps Solutions, AZ-204T00: Developing Solutions for Microsoft Azure, and AZ-2001: Microsoft Azure DevOps Engineer provide practical knowledge to help teams master Azure DevOps tools and methodologies.

Bespoke Training ensures that your team is equipped with the latest best practices and skills to optimise your CI/CD pipelines. Get in touch for customised flexible training sessions that align with your organisational goals and set your team up for success.

Future-Proof Your Tech Team with Critical Skills

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As technology continues to evolve at breakneck speed, equipping your tech team with the right skills is no longer optional—it’s essential. Future-proofing your team ensures they’re not only able to handle current challenges but will be in the habit of investing their time and energy in regular upskilling.

Here are the critical skills your tech team needs to thrive in the ever-changing tech landscape:

1. Cloud Computing

Cloud adoption has become a cornerstone of modern IT strategies. From running applications to managing data, the cloud offers unmatched scalability and flexibility. Tech teams should prioritize skills in leading platforms like Amazon Web Services (AWS) and Microsoft Azure.

Key Skill Areas:

  • Cloud architecture
  • Cost optimisation
  • Cloud security
  • Serverless computing

2. Cybersecurity

As cyber threats grow in complexity, organisations face increasing pressure to safeguard their systems and data. A strong cybersecurity foundation is critical for tech teams. You can learn more about building robust security practices by adopting a strong cybersecurity framework.

Key Skill Areas:

  • Threat detection
  • Incident response
  • Encryption
  • Zero-trust architecture

3. AI and Machine Learning

Artificial intelligence (AI) and machine learning (ML) are revolutionising industries, driving automation, and unlocking new efficiencies. Tech teams that harness these technologies can create transformative solutions.

Key Skill Areas:

  • Data modelling
  • Natural language processing
  • AI ethics

4. Data Analytics and Visualisation

The ability to extract insights from data is invaluable for informed decision-making. Teams need to be adept at analytics tools and visualisation platforms to turn raw data into actionable intelligence.

Key Skill Areas:

  • Data wrangling
  • Predictive analytics
  • Tools like Power BI and Tableau

5. DevOps and Automation

DevOps practices streamline development and operations, enabling faster delivery of reliable software. Automation is equally critical for reducing manual effort and increasing productivity.

Key Skill Areas:

  • Continuous integration and delivery (CI/CD)
  • Infrastructure as code (IaC)
  • Containerization

Investing in your tech team’s development today is the best way to future-proof your organisation for tomorrow. By prioritising these critical skills, you’ll ensure your team remains agile, innovative, and ready to tackle whatever challenges the future holds.

How Bespoke Training can help

At Bespoke Training, we recognise that staying ahead requires more than just foundational knowledge. Our AWS and Microsoft courses empower your team with the critical skills needed to excel across cloud computing, security, data analytics, and more.

Whether you’re starting with the basics or looking to advance your team’s capabilities, our hands-on, expert-led courses provide actionable knowledge tailored to real-world challenges. From mastering AWS’s cost optimisation tools to exploring the full potential of Microsoft Azure, we’ve got you covered.

Ready to future-proof your tech team? Explore our course offerings or get in touch today for a free cloud skills assessment that ensures your organisation stays competitive.

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.

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