AI (Generative and Agentic)
Covers OVERVIEW OF ARTIFICIAL INTELLIGENCE, Intelligent Agents & Rational Decision Making and Problem Solving & State Space Search and more.
Data and AI · Live online sessions · 20 modules · Certificate
What you will learn
OVERVIEW OF ARTIFICIAL INTELLIGENCE
- Definition, goals & scope of AI, Evolution: Symbolic →
- Statistical → Deep Learning →
- Generative → Agentic, Branches of AI, Narrow AI vs AGI vs Superintelligence, AI development lifecycle, AI in industry & future trends
Intelligent Agents & Rational Decision Making
- Agent definition & environments
- Rational agents & utility
- Types of environments
- PEAS framework
- Agent architectures overview
Problem Solving & State Space Search
- Problem formulation
- State space representation
- Tree vs Graph search
- Complexity of search
Search Algorithms
- Breadth First Search (BFS)
- Depth First Search (DFS)
- Uniform Cost Search
- Informed Search Concepts
- A* Algorithm
Knowledge Representation
- Propositional Logic
- First Order Logic
- Inference Systems
- Automated Reasoning
Knowledge-Based Systems
- Forward Chaining
- Backward Chaining
- Rule-Based Systems
- Knowledge Graphs
Reasoning Under Uncertainty
- Probability Theory in AI
- Bayesian Reasoning
- Conditional Independence
Decision Making in AI
- Utility Theory
- Decision Making Under
- Uncertainty
- Markov Decision Processes
- (Overview)
Reinforcement Learning Fundamentals
- RL Framework
- Exploration vs Exploitation
- Real-World Applications
Neural Networks
- Perceptron Algorithm
- Activation Functions
- Backpropagation (Conceptual)
- Gradient Descent
Deep Learning Architectures
- CNN Overview
- RNN & LSTM Overview
- Representation Learning
- Introduction to Transformers
Introduction to Generative AI
- Generative vs Discriminative
- Models
- Foundation Models
- Self-Supervised Learning
Transformer Architecture
- Pretraining Objectives
- Fine-Tuning Methods
- Alignment & RLHF
- Emergent Abilities
Large Language Models (LLMs)
- Pretraining Objectives
- Fine-Tuning Methods
- Alignment & RLHF
- Emergent Abilities
Advanced Generative Models
- GANs
- VAEs
- Diffusion Models
- Multimodal Models
Introduction to Agentic AI
- AI Agents vs LLMs
- Tool Usage
- Reasoning Loops
- Planning & Memory in Agents
Agent Architectures & Reasoning
- ReAct Framework
- Chain-of-Thought Reasoning
- Tree-of-Thought Reasoning
Agent Memory & Knowledge Systems
- Agent Memory Systems
- Vector Databases
- Retrieval-Augmented
- Generation (RAG)
Multi-Agent Systems
- Multi-Agent Collaboration
- Communication & Coordination
Autonomous AI Systems & Future
- Planner–Executor, Architectures,Long-Horizon
- Reasoning Challenges
- Alignment Challenges
- Evaluation of LLM Systems
- Scaling & Optimization of AI
- Systems