AI/ML Foundations for Absolute Beginners (AgenticAI + MLOps)

Discover the fundamentals of Machine Learning, LLMs & Agentic AI with this beginner-friendly guide! No coding or math experience required. This course provides a clear, intuitive understanding of how modern artificial intelligence (AI) works, perfect for students, professionals seeking to upskill, or anyone curious about the future of AI.

We begin with the core concepts of machine learning, differentiating it from traditional programming. Explore various learning types, including supervised learning, unsupervised learning, and reinforcement learning. Learn how AI models are built, evaluated, and improved, with explanations of common machine learning algorithms like regression, decision trees, and neural networks.

Next, dive into the fascinating realm of Large Language Models (LLMs), such as ChatGPT. Understand how these powerful models are trained, the significance of tokens and parameters, and how techniques like prompt engineering and Retrieval-Augmented Generation (RAG) optimize their performance.

Finally, explore the cutting-edge field of Agentic AI, where AI systems are developing the ability to plan, reason, remember, and act autonomously. We'll cover agent architecture, memory management, planning strategies, multi-agent collaboration, and the ethical challenges associated with deploying these advanced systems.

By the end of this course, you will:

• Understand core machine learning concepts and processes.
• Become familiar with popular ML algorithms and their applications.
• Learn the inner workings of Large Language Models like ChatGPT.
• Grasp the key differences and potential of Agentic AI.
• Explore real-world tools and use cases for AI agents.
• Gain clarity on emerging trends like MLOps and AI ethics.

This course offers clear, beginner-friendly explanations to confidently navigate the world of AI – no prior coding or experience necessary!