Agentic AI
Agentic AI Course Content
WEEK 1: Foundations of AI & Agentic Thinking
- Day 1: Introduction to AI, Machine Learning, and Agentic Systems
- Day 2: Types of Agents: Reactive, Deliberative, Hybrid
- Day 3: Agent Environment Paradigm (PEAS)
- Day 4: Introduction to Multi-Agent Systems
- Day 5: Rationality and Bounded Rationality
- Day 6: Use Cases of AI Agents (e.g., chatbots, game agents, robotics)
- Day 7: Recap + Quiz + Hands-on Agent Design (Basic Rules-Based Agent)
WEEK 2: Python for AI Agents
- Day 8: Python Refresher: Syntax, Functions, Classes
- Day 9: Data Structures for Agents (Lists, Dicts, Tuples)
- Day 10: File Handling, APIs, and Web Requests
- Day 11: Python Libraries: NumPy, Pandas, Requests
- Day 12: Object-Oriented Programming for Agent Modularity
- Day 13: Build: Simple Weather Agent using API
- Day 14: Review + Mini Project
WEEK 3: Machine Learning for Intelligent Agents
- Day 15: Supervised vs Unsupervised Learning
- Day 16: Data Preprocessing and Feature Engineering
- Day 17: Classification with scikit-learn (e.g., Decision Trees, KNN)
- Day 18: Regression and Evaluation Metrics
- Day 19: Clustering (K-Means, DBSCAN)
- Day 20: Build: Classifying user intent from text
- Day 21: Recap + Quiz + Mini Project
WEEK 4: NLP-Powered Agents
- Day 22: Introduction to NLP and Language Models
- Day 23: Tokenization, Stopwords, Vectorization (TF-IDF, Word2Vec)
- Day 24: Named Entity Recognition & POS Tagging
- Day 25: Sentiment Analysis with Transformers
- Day 26: LangChain Basics + Agents
- Day 27: Build: FAQ Chatbot using LLM
- Day 28: Recap + Quiz + Showcase
WEEK 5: Reinforcement Learning (RL) Agents
- Day 29: What is RL? States, Actions, Rewards
- Day 30: Q-Learning and SARSA
- Day 31: OpenAI Gym Intro + Simple Environments
- Day 32: Deep Q Networks (DQN)
- Day 33: Exploration vs Exploitation
- Day 34: Build: Grid World Agent
- Day 35: Recap + Hands-on + Quiz
WEEK 6: Autonomous Agents in Simulated Worlds
- Day 36: Building Simulated Environments (Unity/AI2Thor)
- Day 37: Perception Systems: Cameras, Sensors
- Day 38: Pathfinding Algorithms (A*, Dijkstra)
- Day 39: Behavior Trees and State Machines
- Day 40: Build: Simulated Cleaning Robot
- Day 41: Integration with APIs (Voice, GPS, Vision)
- Day 42: Mini Project Demo + Feedback
WEEK 7: Multi-Agent Systems and Communication
- Day 43: Communication Protocols (Cooperation, Competition)
- Day 44: Distributed Problem Solving
- Day 45: Game Theory Basics for AI
- Day 46: Negotiation and Coordination Among Agents
- Day 47: Build: Multi-Agent Game (e.g., Pac-Man Ghost AI)
- Day 48: Testing, Debugging Multi-Agent Systems
- Day 49: Review + Quiz + Demo
WEEK 8: AI Ethics, Safety & Agent Alignment
- Day 50: Ethical Principles in Autonomous Systems
- Day 51: AI Bias, Fairness, and Privacy
- Day 52: Explainable AI (XAI)
- Day 53: Agent Safety & Alignment Challenges
- Day 54: Build: AI Agent with Transparent Decision Logs
- Day 55: Guest Talk / Expert Case Studies
- Day 56: Debate + Presentation: Ethics in Autonomous Agents
WEEK 9: Capstone Project Sprint
- Day 57: Ideation + Team Formation (if group project)
- Day 58: Development Sprint
- Day 59: Testing, Iteration, and Polishing
- Day 60: Final Demo + Certificate + Feedback
