What You Will Master in This Track
Foundational Principles
Master the underlying algorithms, architectures, and theoretical intuition powering modern artificial intelligence.
Workflow & Agent Modeling
Understand how autonomous agents perceive data, represent domain knowledge, and execute goal-driven decisions.
Practical Real-World Use
Bridge concept with practice through real business case studies, hands-on exercises, and domain workflows.
Responsible & Ethical AI
Mitigate model bias, ensure transparency, and deploy accountable AI solutions that adhere to industry governance.
Course Curriculum & Modules (25)
Select any module below to inspect in-depth syllabus notes, practical focus, and review questions.
01
Introduction to LLMs
02
LLM Architecture Basics
03
Tokens
04
Tokenization
05
Context Window
06
Embeddings
07
Semantic Search
08
Vector Databases
09
Transformers
10
Attention Mechanism
11
Prompt Templates
12
Document Processing
13
Knowledge Base Creation
14
RAG
15
Knowledge-Based Chatbot
16
API Integration
17
Function Calling
18
Tool Calling
19
LLM Application Development
20
AI Chatbot Development
21
Deployment Basics
22
LLM Evaluation & Testing
23
Tokens & Embeddings
24
Knowledge Base
25