Applied AI Foundations
Master Text, Image, Video & Multimodal AI with a Builder Mindset. A comprehensive 4-6 month program designed to take you from AI basics to building production-ready multimodal applications. Learn to build with LLMs, image generation models, video AI, and autonomous agents through hands-on projects.
6 Months
Duration
4.9/5
Rating
Hands-on
Projects
Certified
Builder
Total Program Fee
Limited spots available for Cohort 2
Curriculum Roadmap
A structured 6-month journey from foundations to mastery.
Foundation of AI & Basics
Building the Mental Model
AI, ML & DL Foundations
Understand the landscape of intelligent systems
Core Topics
- History of AI: Turing Test, Dartmouth (1956), Deep Blue, AlphaGo, ChatGPT
- AI vs Machine Learning vs Deep Learning
- Types of AI Models: Text, Image, Audio, Video, Multimodal
- Key Concepts: Neural Networks, Transformers, Diffusion Models
Tools, APIs & First Build
Set up your AI development environment
Core Topics
- Python Basics for AI Engineers
- Dev Environment Setup (VS Code, Cursor, Jupyter)
- API Basics: OpenAI, Anthropic, Google
- Prompt Engineering Fundamentals
LLMs & Advanced Generation
Deep Dive into Intelligence
LLM Architecture & Function Calling
Mastering LLM capabilities
Core Topics
- LLM Internals (Transformers intuition)
- Function Calling & Tool Use
- Structured Outputs (JSON)
- Building Chat Interfaces
RAG & Image Gen Architecture
Production Retrieval & Generation
Core Topics
- Production-Ready RAG Systems
- Vector Databases & Embeddings
- Image Gen Arch (Diffusion, Autoregressive, Hybrid)
- Advanced Image Prompting
AI Agents & Video
Autonomous Systems
AI Agents Architecture
From Chatbots to Agents
Core Topics
- Agentic Patterns (ReAct, Plan-and-Solve)
- Building Autonomous Agents
- Memory & State Management
- Multi-Agent Orchestration
Video Generation Models
Moving Images
Core Topics
- Text-to-Video Models (Sora, Runway, Pika)
- Image-to-Video Workflows
- Consistent Character Generation
- Video Editing with AI
Model Customization
Fine-tuning & Training
Fine-tuning Fundamentals
Customizing Models
Core Topics
- When to Fine-tune vs RAG
- Fine-tuning Text Models (LLMs)
- Dataset Preparation & Cleaning
- Evaluation Metrics
Advanced Fine-tuning (Image/Audio)
Multimodal Customization
Core Topics
- Fine-tuning Image Models (LoRA, Dreambooth)
- Fine-tuning Audio Models
- Custom Style Training
- Model Merging
AI Application Development
Putting it all together
Full-Stack AI Integration
End-to-end Systems
Core Topics
- Integrating All Modalities (Text+Image+Audio)
- Complex Workflows & Logic Chains
- Backend Architecture for AI Apps
- Streaming & Real-time AI
Advanced Application Logic
Robust Applications
Core Topics
- User Management & Auth
- Payment Integration
- Rate Limiting & Cost Management
- Observability & Tracing
Deployment & Capstone
Launch & Career
Deployment Strategies
Going Live
Core Topics
- Deploying LLM Apps (Vercel, AWS, GCP)
- Serving Custom Models (Modal, Replicate)
- Scaling & Optimization
- Security Best Practices
Capstone & Demo Day
Showcase your work
Core Topics
- Project Polishing & Documentation
- Creating a Demo Video
- Portfolio Creation
- Career Guidance & Freelancing
Technology Stack
Assessment Structure
Weekly Labs
40%Hands-on builder tasks every week
Mini Projects
30%Chatbot, Resume Analyzer, Content Engine
Final Portfolio
30%Deployed AI application showcase
