Master AI and machine learning with AWS tools
Discover how artificial intelligence is transforming industries with this practitioner-level AWS course.
Through interactive lessons, real-world case studies, and expert insights, you’ll build the foundational knowledge and practical skills to work confidently with AI and ML technologies using AWS tools and services.
Explore the core concepts of AI, ML and GenAI
You’ll get an overview of artificial intelligence and machine learning, exploring the differences between AI, ML, deep learning, and generative AI.
Understand common algorithms and learn foundational terms and the types of data used to train AI models through use cases across NLP, computer vision, and business automation.
Apply AWS services to build AI-powered solutions
Then, learn how to build and deploy AI models using AWS services, like Amazon SageMaker and Amazon Bedrock. You’ll discover how to define use cases, train and evaluate models, and manage lifecycles using MLOps.
You’ll explore how to apply fine-tuning techniques and deploy scalable AI solutions tailored to real business problems.
Build responsible, secure, and explainable AI systems
Finally, you’ll delve into the principles of responsible AI. This includes fairness, transparency, and human-centred design.
You’ll learn how to protect data privacy, reduce model bias, and align with governance frameworks, as well as gain experience with AWS tools for security, compliance, and prompt engineering. With this insight, ensuring your AI systems are ethical, compliant, and secure will be that much more possible.
By the end of this course, you’ll walk away with practical tools, real-world experience, and an understanding of AI/ML implementation best practices so you’re ready to innovate and lead in your organisation.
This course is for any learners interested in AI and ML, including developers, analysts, and business professionals with a basic understanding of AWS services and AI/ML concepts.
