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Master Machine Learning & Generative AI

Industry-aligned programs from beginner to professional. Learn from real practitioners, build real projects, and get job-ready.

500+Students Trained
98%Placement Rate
4+Expert Instructors
AI Learning
GenAI Ready
ML Expert Path

Two Powerful Learning Tracks

Choose the track that fits your goal — focused Machine Learning or the cutting-edge world of Generative AI.

ML Without GenAI

Classical Machine Learning Track

Machine Learning

Deep dive into statistical models, supervised/unsupervised learning, feature engineering, and deployment. Build production-grade ML pipelines.

Python Scikit-learn TensorFlow MLOps SQL

ML + GenAI Track

Next-Gen AI with LLMs & Agents

Generative AI

From transformer architecture to building production LLM apps. Fine-tuning, RAG pipelines, AI agents, and multimodal AI systems.

LLMs LangChain RAG Hugging Face Agents

Structured Learning Modules

From foundations to frontier — explore what you'll learn at each level.

01

Python for Data Science

Core Python programming for ML workflows and data manipulation.

  • Python syntax & data structures
  • NumPy & Pandas fundamentals
  • Data cleaning & EDA
  • Matplotlib & Seaborn
4 Weeks
02

Statistics & Mathematics

Essential math concepts powering every machine learning algorithm.

  • Probability & distributions
  • Linear algebra basics
  • Calculus for optimization
  • Hypothesis testing
3 Weeks
03

Intro to Machine Learning

Your first steps into supervised and unsupervised learning models.

  • Regression & Classification
  • Decision Trees & KNN
  • Model evaluation & metrics
  • Scikit-learn workflows
5 Weeks
04

Intro to GenAI (Basic Track)

Foundational concepts of Generative AI for beginners.

  • What is Generative AI?
  • ChatGPT & Gemini hands-on
  • Prompt engineering basics
  • AI tools for productivity
2 Weeks
01

Advanced ML Algorithms

Master ensemble methods, SVMs, and advanced optimization techniques.

  • Random Forests & Gradient Boosting
  • XGBoost & LightGBM
  • Support Vector Machines
  • Hyperparameter tuning
5 Weeks
02

Deep Learning & Neural Networks

Build CNNs, RNNs, and advanced architectures with TensorFlow & PyTorch.

  • Feedforward & backpropagation
  • CNNs for computer vision
  • RNNs & LSTMs for sequences
  • Transfer learning
6 Weeks
03

Transformer Architecture & LLMs

Deep dive into the technology powering modern AI systems.

  • Attention mechanism & BERT
  • GPT architecture explained
  • Tokenization & embeddings
  • Fine-tuning pre-trained models
5 Weeks
04

Prompt Engineering & RAG

Advanced prompting and retrieval-augmented generation systems.

  • Chain-of-thought prompting
  • RAG pipeline architecture
  • Vector databases (Pinecone, Chroma)
  • LangChain & LlamaIndex
4 Weeks
05

MLOps & Model Deployment

Deploy, monitor, and scale ML models in production environments.

  • Docker & Kubernetes for ML
  • FastAPI model serving
  • CI/CD pipelines for ML
  • Monitoring with MLflow
4 Weeks
06

Capstone Project

End-to-end project building an intelligent AI application.

  • Problem scoping & data collection
  • Model development & evaluation
  • API + frontend integration
  • Portfolio presentation
3 Weeks
01

AI Architecture & System Design

Design scalable, production-grade AI systems like a senior engineer.

  • Distributed AI training systems
  • Multi-modal AI architecture
  • Real-time inference pipelines
  • Cost & latency optimization
6 Weeks
02

LLM Fine-Tuning & RLHF

Train, adapt, and align large language models for custom domains.

  • LoRA & QLoRA fine-tuning
  • RLHF & Constitutional AI
  • Domain-specific LLM training
  • Evaluation & safety benchmarks
6 Weeks
03

AI Agents & Multi-Agent Systems

Build autonomous, tool-using AI agents that solve complex tasks.

  • ReAct & Plan-and-Execute agents
  • Tool calling & function use
  • Multi-agent orchestration
  • AutoGen & CrewAI frameworks
5 Weeks
04

Generative AI Products

Build and ship full-stack AI products from ideation to production.

  • AI product design & UX
  • Streaming & real-time AI APIs
  • Image & video generation APIs
  • Monetization & GTM strategy
5 Weeks
05

AI Safety, Ethics & Governance

Responsible AI development for enterprise and regulatory compliance.

  • Bias detection & mitigation
  • Explainable AI (XAI)
  • EU AI Act & compliance
  • Red-teaming & adversarial AI
3 Weeks
06

Industry Mentorship & Placement

1:1 mentorship, mock interviews, and direct hiring connections.

  • Resume & LinkedIn optimization
  • System design interviews
  • Partner company referrals
  • Lifetime alumni network
Ongoing

Learn from Industry Practitioners

Nisha Patel

Nisha Patel

NLP Lead

8 yrs experience

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