Agentic AI for Beginners
Unlock the power of autonomous AI: Learn to build intelligent agents that perceive, reason, and act in the world using LLMs and practical frameworks.
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Understanding Agentic AI Fundamentals
Unit 1: Defining Agentic AI
What is Agentic AI?
Agentic vs. Traditional
The AI Agent's World
The Agent's Capabilities
Autonomy Deep Dive
Unit 2: Core Components of an AI Agent
Agent Architecture
The Power of Perception
Reasoning Explained
Planning for Success
Taking Action!
Unit 3: Agent Architectures
Symbolic Architectures
Reactive Architectures
Hybrid Architectures
Choosing the Right Type
Architecture in Practice
Leveraging LLMs for Intelligent Agents
Unit 1: LLMs as the Brains of Agents
LLMs & Agentic AI
LLMs for Planning
LLMs for Reasoning
LLMs for Interaction
LLMs: A Quick Recap
Unit 2: Prompt Engineering for Agents
Intro to Prompt Eng.
Crafting Effective Prompts
Prompt Iteration
Prompt Engineering Tips
Prompting: Best Practices
Building and Evaluating Agentic AI Systems
Unit 1: Setting Up Your Agentic AI Environment
Install Python & Packages
Langchain Quickstart
AutoGPT Quickstart
Choosing Your Framework
First Agent!
Unit 2: Evaluating Agent Performance
Defining Success
Qualitative Metrics
Quantitative Metrics
A/B Testing Agents
Visualizing Performance
Unit 3: Debugging and Improving Agents
Common Agent Errors
Debugging Techniques
Prompt Engineering Fixes
Tool Selection
Iterative Improvement
Ethical Considerations and Real-World Applications
Unit 1: Ethical Implications of Agentic AI
Bias in Agentic AI
Transparency & Explainability
Safety & Control
Privacy Concerns
Ethical Frameworks
Unit 2: Real-World Applications of Agentic AI
Agentic AI in Healthcare
Agentic AI in Finance
Agentic AI in Education
Agentic AI in Robotics
Agentic AI in Automation
Unit 3: Future Trends and Challenges
Evolving Architectures
Enhanced Reasoning
Human-Agent Interaction
Scalability Challenges
The Future of AGI