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Lessons > Natural Language Processing

Natural Language Processing

Course Content
Day 1
0/5
Introduction to AI
Introduction to Generative AI
Introduction to Large Language Models
Popular LLM Examples
How LLM works
Day 2
0/4
Setting up Google Colab
Installing AI Libraries
Managing API Keys
Using Colab Features
Day 3
0/5
Introduction to Prompt Engineering
Basic Prompt Creation
Types of Prompts
Improving Prompt Quality
Optimizing AI Performance
Day 4
0/4
Natural Language Processing
Building NLP Pipelines
Advanced NLP Applications
Understanding Model Ethics
Day 5
0/4
Introduction to AI Image Generation
Using Image Generation Models
Creating Images from Text
Understanding Image AI Technology
Day 6
0/4
Introduction to Audio AI
Text-to-Speech Technology
Speech-to-Text Processing
Video Generation Basics
Day 7
0/4
Building Your First AI Bot
Designing Conversations
Improving Bot Performance
Understanding RAG
Day 8
0/3
Introduction to AI Agents
Agent Components
Introduction to Agentic AI
Day 9
0/4
Introduction to Fine-tuning
Fine-tuning Parameters
Adapting Models for Specific Tasks
Fine-tuning Types
Day 10
0/4
Understanding LLM Fine-tuning
Pre-training vs Fine-tuning
Hands-on Fine-tuning Practice
Fine-tuning Ethics
Day 11
0/4
Introduction to RAG
Building RAG Systems
Introduction to LangChain
LangChain Applications
Day 12
0/4
Introduction to AI Code Generation
Code Generation Models
Working with Different AI Models
AI Developer Assistants
AI Accelerator Program

Explore how machines process human language for tasks like translation and summarization.

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