Navigating AWS AI and ML Learning Paths
Updated 25 September 2024
The rise of Generative AI is set to transform industries and reshape the way modern businesses operate. From chatbots revolutionising customer service, to AI-powered analytics enhancing decision-making processes, the potential applications of AI and Machine Learning (ML) in business are far-reaching.
With 93% of organisations planning to integrate generative AI into their operations within the next five years, the demand for skilled professionals in this field has never been higher. However, despite this growing demand, a staggering 75% of organisations struggle to find the talent they need to harness the power of AI effectively.
Generative AI and ML represent more than just technological advancements— they require team members to be empowered to work alongside rapidly emerging technologies. To bridge the talent gap and prepare for the AI-driven future, organisations need to take proactive steps to upskill their existing talent in preparation for this future world of work.
How? Let’s explore the critical steps businesses can take to upskill their existing talent and navigate the path to success in the AI-driven future.
Upskill Existing Talent
The first step in preparing for the AI revolution is to upskill your existing talent. AI developers, ML engineers, data scientists, ML ops engineers and statistical analysts can each play pivotal roles in harnessing the power of AI and ML technologies within organisations. But, what this application would look like to each role is very different —specialised application of this technology required a specialised learning pathway.
At Bespoke, we offer a range of learning pathways designed to equip professionals with the skills they need to harness the power of these emerging technologies. Whether you’re a developer looking to incorporate AI into your applications or a data scientist seeking to streamline your analysis, our comprehensive training programs provide the perfect blend of instructor-led sessions and self-paced learning modules.
Let’s take a look at some of these pathways in more detail:
AI Developer Learning Pathway
AI developers are instrumental in integrating AI solutions into various applications and systems to address increasingly complex challenges. Our learning pathway for AI developers is designed to equip you with a solid understanding of AI algorithms, frameworks, and tools.
With this foundation, you’ll be empowered to create intelligent applications that leverage AI to its fullest potential, collaborating seamlessly with data scientists and machine learning engineers along the way.
Data Scientist Learning Pathway
Data scientists are indispensable in today’s data-driven world. They employ advanced statistical and computational techniques to unlock valuable insights from vast datasets.
Our learning pathways for data scientists delve deep into tools like SageMaker and advanced data engineering techniques, equipping professionals with the skills they need to harness the full potential of data for informed decision-making and predictive modelling.
ML Engineer Learning Pathway
ML Engineers are the architects behind the implementation and maintenance of ML systems, driving predictive analytics and data-driven decision-making. Collaborating closely with data scientists and software engineers, ML Engineers integrate models into production, optimising performance and scalability.
Our pathways for ML engineers help to develop your expertise in evaluating and selecting ML algorithms and frameworks, paving the way for impactful solutions.
Statistical Analyst Learning Pathway
Statistical analysts are the masters of advanced statistical techniques, leveraging their expertise to extract actionable insights and drive business value from data, including those derived from AI and ML models.
Collaborating closely with data scientists, they validate and refine solutions through rigorous statistical analysis, ensuring accuracy and efficacy in model performance while contributing to the broader AI and ML ecosystem.
MLOps Engineer Learning Pathway
ML Ops engineers are the architects of seamless machine learning operations, equipped with the skills to build robust pipelines, automate deployments, and optimise performance.
This pathway will give you the skills needed to bridge the gap between data science and production environments and ensure efficient and scalable operations. Learn how to use ML to maximise performance and reliability throughout the organisation’s operational infrastructure.
ML/AI Certification
Once you’ve got the foundations down, the next step is to pursue your AWS ML/AI certification.
Current ML certifications include the AWS Certified Machine Learning – Specialty, and the AWS Certified Machine Learning Engineer – Associate, which was launched in August 2024.
The current AI certification on offer, is the AWS Certified AI Practitioner – Foundational, which was also launched in August 2024.
As an individual contributor, certification validates your ability to build, train, tune, and deploy ML models using AWS solutions —and makes you more employable. For organisations, having certified staff ensures you’ve got team members with highly specialised knowledge, leading to better project delivery.
Bespoke training programs are comprehensive —designed to help you prepare for certification exams, with a focus on hands-on experience and practical skills development. Our expert instructors can guide you through the exam preparation process, ensuring you’re well-equipped to achieve success and advance your career in the rapidly evolving fields of AI and ML.
Get Future-Ready with Bespoke
Don’t let the talent gap hold your organisation back from embracing the transformative power of AI and ML. At Bespoke, we’re committed to helping you upskill your existing talent and thrive in the AI-driven future. With some of the best instructors in the industry and learning pathways that take a blended approach, we’ll set you up for success and empower you to achieve optimal outcomes in the dynamic world of AI and ML. Explore our training programs today and take the first step towards a future-ready workforce.
Ready to take your first step towards a future-proofed workforce? Get in touch today or explore our learning pathways to learn more.
