“This course contains the use of artificial intelligence”

Agentic AI – Building the Next Generation of Smart Agents

Step into the future of Artificial Intelligence with this comprehensive course on Agentic AI — the evolution of systems that don’t just react but reason, plan, and act autonomously.

In this course, you’ll learn how to create intelligent AI agents that combine decision-making, memory, and tool integration to perform tasks independently and safely. You’ll explore how Large Language Models (LLMs), retrieval mechanisms, and workflow orchestration come together to build powerful agentic systems capable of solving real-world problems.

Through hands-on labs and practical exercises, you will:

• Build a goal-driven autonomous agent using Python

• Implement memory and knowledge retrieval for context-aware reasoning

• Integrate tools and APIs for real-time actions

• Design multi-agent systems that collaborate to complete complex tasks

• Add ethical guardrails and safety layers to ensure responsible autonomy

Build a goal-driven autonomous agent using Python

Implement memory and knowledge retrieval for context-aware reasoning

Integrate tools and APIs for real-time actions

Design multi-agent systems that collaborate to complete complex tasks

Add ethical guardrails and safety layers to ensure responsible autonomy

Each section includes step-by-step coding labs in Jupyter or Google Colab, helping you gain practical skills from theory to implementation.

By the end of this course, you’ll have mastered the foundational principles and technical workflows to design, deploy, and manage Agentic AI systems that are intelligent, explainable, and aligned with human values.

No advanced AI knowledge required — just passion, curiosity, and a desire to shape the future of autonomous intelligence.