Imagine being able to confidently understand AI concepts, master machine learning fundamentals, work with generative AI, and explore AWS AI services — all while preparing for your AWS certification exam. Amazon Web Services offers a wide range of AI and machine learning services that are transforming how businesses build intelligent applications. However, understanding these concepts and services can feel overwhelming without the right guidance.
In this course, you will learn how to understand AI and machine learning from the ground up and apply these concepts within AWS. From core AI fundamentals to advanced topics like generative AI, prompt engineering, AWS AI services, and AI Ethics, this course is designed to simplify everything in a structured exam-specific way. This course takes a real-world approach, helping you not only prepare for AWS exams but also understand how AI is actually used in business and cloud environments.
What You Will Learn:
- Understanding AI, Machine Learning, and Deep Learning concepts in a simple way
- Difference between traditional AI and Generative AI
- Real-world applications of AI in business environments
- Core machine learning concepts including supervised, unsupervised, and reinforcement learning
- Understanding the complete ML lifecycle — from data preparation to model deployment
- Key data concepts and evaluation metrics
- Working with advanced concepts like Foundation Models, Tokens, Embeddings, and RAG
- Learning prompt engineering from basics to advanced techniques
