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Generative AI Course Curriculum
It stretches your mind, think better and create even better.
Topics:
Python for AI Development
Python Programming Fundamentals
NumPy for Numerical Computing
Pandas for Data Manipulation
Matplotlib/Seaborn Visualization
Object-Oriented Programming
Development Environment
Jupyter Notebooks and Google Colab
Git and Version Control
Virtual Environments
GPU Setup and CUDA Basics
Package Management
Topics:
Linear Algebra Essentials
Matrices and Vectors
Eigenvalues and Eigenvectors
Matrix Decomposition
Tensor Operations
Dimensionality Concepts
Calculus and Optimization
Derivatives and Gradients
Chain Rule and Backpropagation
Optimization Theory
Gradient Descent Variants
Convex Optimization
Topics:
Probability Theory
Probability Distributions
Bayes’ Theorem
Maximum Likelihood Estimation
Bayesian Inference
Monte Carlo Methods
Information Theory
Entropy and Information
KL Divergence
Mutual Information
Cross-Entropy
Compression Theory
Topics:
Neural Network Basics
Perceptron and MLP
Activation Functions
Loss Functions
Backpropagation Algorithm
Optimization Algorithms
Deep Learning Frameworks
PyTorch Fundamentals
TensorFlow/Keras Basics
Automatic Differentiation
Model Training Loops
GPU Acceleration
Topics:
Generative AI Landscape
Generative vs Discriminative Models
History and Evolution
Key Breakthroughs
Current Applications
Future Directions
Core Generative Concepts
Generation Techniques
Sampling Strategies
Evaluation Metrics
Learning Paradigms
Common Challenges
Topics:
VAE Architecture
Encoder-Decoder Structure
Latent Space Representation
Variational Inference
Reparameterization Trick
KL Divergence Loss
Advanced VAE Techniques
Conditional VAEs
β-VAE and Disentanglement
VAE-GAN Hybrids
Hierarchical VAEs
Vector Quantized VAE
Topics:
GAN Fundamentals
Generator and Discriminator
Adversarial Training
GAN Objective Functions
Training Dynamics
Mode Collapse Solutions
Advanced GAN Architectures
DCGAN and Progressive GAN
Wasserstein GAN
StyleGAN Family
CycleGAN and Pix2Pix
BigGAN and GigaGAN
Topics:
Normalizing Flows
Flow-Based Generation
Change of Variables
Coupling Layers
Autoregressive Flows
Continuous Normalizing Flows
Advanced Flow Models
RealNVP and Glow
Flow Matching
Neural Spline Flows
Variational Flows
Applications and Trade-offs
Topics:
EBM Fundamentals
Energy Functions
Contrastive Divergence
Score Matching
Langevin Dynamics
Training Strategies
Score-Based Models
Score Functions
Noise Conditional Models
Annealed Langevin Dynamics
Score-Based Diffusion
Connection to Diffusion Models
Topics:
Sequential Generation
Autoregressive Factorization
PixelCNN/PixelRNN
WaveNet Architecture
Masked Convolutions
Causal Attention
Advanced Techniques
Conditional Generation
Hierarchical Models
Parallel Generation
Latent Autoregressive Models
Efficiency Improvements
Topics:
Attention Mechanisms
Self-Attention Mathematics
Multi-Head Attention
Positional Encodings
Attention Patterns
Efficient Attention Variants
Transformer Components
Encoder-Decoder Structure
Layer Normalization
Feed-Forward Networks
Residual Connections
Architecture Variations
Topics:
Pre-training LLMs
GPT Architecture Family
Training Objectives
Scaling Laws
Data Requirements
Compute Optimization
Modern LLM Architectures
GPT-3/4 Capabilities
LLaMA and Open Models
Mistral and Mixtral
Specialized Models
Mixture of Experts
Topics:
Fine-tuning Techniques
Full Fine-tuning
LoRA and QLoRA
Prefix Tuning
Adapter Layers
Prompt Tuning
Instruction Tuning
Dataset Creation
RLHF Pipeline
Constitutional AI
DPO Methods
Evaluation Strategies
Topics:
Prompting Techniques
Zero-Shot and Few-Shot
Chain-of-Thought
Tree-of-Thoughts
ReAct Framework
Self-Consistency
Advanced Applications
Prompt Optimization
Meta-Prompting
Prompt Chaining
Context Management
Production Prompting
Topics:
RAG Architecture
Document Processing
Embedding Models
Vector Databases
Retrieval Strategies
Context Integration
Advanced RAG Systems
Hybrid Search
Re-ranking Methods
Graph RAG
Multi-Modal RAG
Production Optimization
Topics:
Diffusion Theory
Forward and Reverse Process
DDPM Fundamentals
Noise Schedules
Sampling Algorithms
Score-Based Formulation
Advanced Diffusion Techniques
DDIM and Fast Sampling
Classifier-Free Guidance
Progressive Distillation
Consistency Models
Flow Matching
Topics:
Architecture Deep Dive
U-Net Structure
VAE Components
CLIP Text Encoder
Cross-Attention Layers
Latent Space Diffusion
Control and Customization
ControlNet Integration
LoRA for Images
Textual Inversion
DreamBooth Training
IP-Adapter Methods
Topics:
Text-to-Image Systems
DALL-E Architecture
Midjourney Approach
Imagen and Parti
Photorealistic Generation
Artistic Style Control
Image Editing and Manipulation
Inpainting and Outpainting
InstructPix2Pix
Style Transfer
Super Resolution
Semantic Editing
Topics:
Video Diffusion Models
Temporal Consistency
Video Diffusion Architecture
Make-A-Video
Imagen Video
Gen-2 and Runway
Advanced Video Techniques
Motion Control
Long Video Generation
Video Editing
Animation Generation
Real-time Generation
Topics:
3D Generative Models
NeRF Technology
3D Diffusion Models
Point-E and Shap-E
DreamFusion
3D GANs
Applications and Rendering
Text-to-3D
3D Reconstruction
Mesh Generation
Texture Synthesis
Real-time Rendering
Topics:
Vision-Language Models
CLIP and Variants
ALIGN Architecture
BLIP/BLIP-2
Flamingo
LLaVA
Cross-Modal Learning
Contrastive Learning
Image-Text Alignment
Cross-Modal Attention
Unified Representations
Zero-Shot Transfer
Topics:
Speech Synthesis
Text-to-Speech Models
WaveNet and Tacotron
Voice Cloning
Emotional TTS
Real-time Systems
Music and Sound Generation
MusicLM and AudioLM
MusicGen Architecture
Sound Effect Generation
Audio Style Transfer
Interactive Audio
Topics:
Code Language Models
Codex and Copilot
Code Llama
StarCoder
DeepSeek Coder
Domain-Specific Models
AI-Assisted Development
IDE Integration
Code Completion
Bug Detection
Test Generation
Documentation AI
Topics:
AI for Science
Protein Folding (AlphaFold)
Drug Discovery
Material Design
Climate Modeling
Physics Simulations
Healthcare Applications
Medical Image Generation
Synthetic Data Creation
Diagnostic AI
Treatment Planning
Clinical Documentation
Topics:
Art and Design
Digital Art Generation
Fashion Design AI
Architecture Generation
Game Asset Creation
UI/UX Design
Content Creation
Story Generation
Character Design
World Building
Interactive Fiction
Creative Tools
Topics:
Quantization Techniques
INT8/INT4 Quantization
Mixed Precision
Dynamic Quantization
Quantization-Aware Training
Performance Trade-offs
Model Compression
Knowledge Distillation
Pruning Strategies
Layer Reduction
Token Optimization
Architecture Search
Topics:
Performance Enhancement
Flash Attention
KV Cache Optimization
Batch Processing
Streaming Generation
Speculative Decoding
Hardware Acceleration
GPU Optimization
TPU Deployment
ONNX Runtime
TensorRT
Edge Deployment
Topics:
Serving Systems
Model Serving Frameworks
Load Balancing
Auto-scaling
Caching Strategies
API Development
Monitoring and Observability
Performance Metrics
Quality Monitoring
Cost Tracking
Error Handling
A/B Testing
Topics:
Responsible AI
Bias Detection and Mitigation
Fairness Metrics
Content Filtering
Safety Classifiers
Privacy Protection
Governance and Compliance
Ethics Guidelines
Regulatory Requirements
Model Cards
Audit Trails
Risk Management
Topics:
Enterprise Implementation
Use Case Identification
ROI Calculation
Implementation Planning
Change Management
Success Metrics
GenAI Products and Services
Product Development
Business Models
Market Strategy
Pricing Models
Future Trends
TOOLS & PLATFORMS
Our AI Programs
3 Months
6 Live Projects
4.7/5
AI Agents are autonomous software systems that can perceive their environment, make decisions, and act to achieve specific goals. They combine reasoning...
3 Months
6 Live Projects
4.8/5
Data Science is the field of extracting insights and knowledge from data using statistics, machine learning, and data analysis techniques. It combines programming...
3 Months
6 Live Projects
4.9/5
Generative AI is a type of artificial intelligence that creates new content such as text, images, audio, code, or video based on learned patterns from data. It powers tools like ChatGPT...
3 Months
6 Live Projects
4.8/5
ML Ops (Machine Learning Operations) focuses on managing the end-to-end lifecycle of ML models — from training to deployment and monitoring — ensuring reliability and scalability.
Build a complete multi-agent customer service system with: - Natural language understanding - Intent recognition and routing - Knowledge base integration - Escalation handling - Sentiment analysis - Performance monitoring
Develop an AI research agent capable of: - Literature review automation - Data collection and analysis - Report generation - Citation management - Collaborative research - Quality validation
Create an agent system for business process automation: - Workflow orchestration - Document processing - Decision automation - Integration with enterprise systems - Compliance checking - Performance optimization
LEARNERS
BATCHES
YEARS
SUPPORT
100000+ uplifted through our hybrid classroom & online training, enriched by real-time projects and job support.
Come and chat with us about your goals over a cup of coffee.
2nd Floor, Hitech City Rd, Above Domino's, opp. Cyber Towers, Jai Hind Enclave, Hyderabad, Telangana.
3rd Floor, Site No 1&2 Saroj Square, Whitefield Main Road, Munnekollal Village Post, Marathahalli, Bengaluru, Karnataka.