Generative Ai Course

Dive deep into the revolutionary world of Generative AI, from foundational concepts to cutting-edge applications.
  • FOUNDATIONS & MATHEMATICS
  • CLASSICAL GENERATIVE MODELS
  • LANGUAGE MODELS & NLP
  • VISUAL GENERATION
  • MULTIMODAL & SPECIALIZED AI
  • PRODUCTION & DEPLOYMENT

50000 +

Students Enrolled

4.7

Ratings

3 Months

Duration

Our Alumni Work at Top Companies

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Generative AI Course Curriculum

It stretches your mind, think better and create even better.

FOUNDATIONS & MATHEMATICS
Module 1

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

Module 2

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

Module 3

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

Module 4

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

Module 5

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

CLASSICAL GENERATIVE MODELS
Module 6

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

Module 7

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

Module 8

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

Module 9

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

Module 10

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

LANGUAGE MODELS & NLP
Module 11

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

Module 12

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

Module 13

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

Module 14

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

Module 15

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

VISUAL GENERATION
Module 16

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

Module 17

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

Module 18

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

Module 19

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

Module 20

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

MULTIMODAL & SPECIALIZED AI
Module 21

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

Module 22

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

Module 23

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

Module 24

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

Module 25

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

PRODUCTION & DEPLOYMENT
Module 26

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

Module 27

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

Module 28

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

Module 29

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

Module 30

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

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