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🟢 New Batch Starting Soon  ·  📍 Pune, Maharashtra
Master Artificial Intelligence, Machine Learning, Generative AI & AI Engineering

Azure and ML Training in Pune

Learn Machine Learning, Deep Learning, Generative AI, LLMs, RAG, AI Agents, LangChain, MLOps & AI Deployment with hands-on projects.

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10 Months Offline + Live Instructor Led Intermediate to Advanced 6+ Real AI Projects Placement Assistance
Machine LearningDeep LearningNeural NetworksTensorFlowPyTorchGenerative AIChatGPT & OpenAI APIsLangChain & RAGAI AgentsMLOpsDockerFastAPI

📋 Course at a Glance

Everything you need to know

Duration
10 Months
Mode
Offline (Class Room) + Live (Instructor Led)
Modules
12 Modules
Best For
Developers, Python/.NET/Java Pros, Working Professionals
Projects
6+ Real AI Projects
Placement
100% Assistance

Program Highlights

Everything You Need to Master AI & ML

Machine Learning
Deep Learning
Neural Networks
TensorFlow & PyTorch
Generative AI
ChatGPT & OpenAI APIs
LangChain & RAG
AI Agents
MLOps & Deployment
Real AI Projects

Tools & Technologies

Technologies You Will Master

Industry-standard AI/ML tools used by top companies worldwide.

AI/ML Frameworks
  • TensorFlow
  • Keras
  • PyTorch
  • Scikit-learn
  • OpenCV
Generative AI & LLMs
  • OpenAI APIs
  • LangChain
  • Hugging Face
  • LangGraph
  • CrewAI
  • Vector Databases
Deployment & MLOps
  • Docker
  • FastAPI
  • Azure AI
  • AWS SageMaker
  • CI/CD for ML
  • Model Monitoring

Complete Course Curriculum

Module-by-Module Breakdown

From AI foundations to production deployment and real-world AI projects.

01
AI & ML Foundations
AI vs ML vs Deep Learning, AI Lifecycle, Data Preprocessing, Model Training, Evaluation Metrics.
02
Python for AI
NumPy, Pandas, Matplotlib, Scikit-learn. Data manipulation and visualization for ML workflows.
03
Classical Machine Learning
Linear Regression, Logistic Regression, Decision Trees, Random Forest, SVM, Naive Bayes, XGBoost.
04
Deep Learning
Neural Networks, y=σ(Wx+b), Activation Functions, CNN, RNN, LSTM, Transfer Learning. Tools: TensorFlow, Keras, PyTorch.
05
Computer Vision
Image Processing, OpenCV, Object Detection, Face Detection, OCR. Projects: Face Recognition System, Object Detection App.
06
NLP (Natural Language Processing)
Text Processing, Tokenization, Embeddings, Sentiment Analysis, Transformers, Hugging Face.
07
Generative AI
LLMs, GPT Models, Prompt Engineering, Tokens & Embeddings, Fine Tuning, AI Safety.
08
LangChain & RAG
Vector Databases, Embeddings, Semantic Search, RAG Architecture, Context Injection. Projects: AI Document Q&A System, AI Knowledge Assistant.
09
AI Agents
Autonomous Agents, Tool Calling, Multi-Agent Systems, LangGraph, CrewAI, MCP.
10
MLOps & Deployment
Docker, FastAPI, Model Deployment, CI/CD for ML, Azure AI, AWS SageMaker, Monitoring AI Systems.
11
AI Projects
ChatGPT Clone · AI Resume Analyzer · AI Chatbot · Recommendation Engine · AI Voice Assistant · AI Coding Assistant.
12
Interview Preparation & Career Guidance
AI Interview Questions, ML Case Studies, Portfolio Building, GitHub Projects, Resume Optimization.

Industry-Demand Topics

Important Topics Covered That Most Institutes Miss

These are highly demanded in the industry but missing from most training programs.

For AI/ML

  • LangChain
  • Vector Databases
  • RAG Architecture
  • AI Agents
  • MLOps
  • Prompt Engineering
  • Hugging Face
  • Fine Tuning
  • AI Deployment
  • AI Security & Cost Optimization

For Data Science

  • Excel for Analytics
  • Data Cleaning
  • Feature Engineering
  • EDA (Exploratory Data Analysis)
  • Dashboard Storytelling
  • Business Case Studies

Salary Growth

Build a High-Growth Career in AI & Data Science

AI & Data Science professionals are among the highest-paid roles in the software industry.

💰
AI Engineer

₹10-30 LPA

📈
ML Engineer

₹8-22 LPA

🎯
Data Scientist

₹8-25 LPA

Career Roadmap

Your AI Career Path

From learning to landing your dream AI role.

1
Data Analyst

Start with data analysis skills

2
Data Scientist

Build ML models & insights

3
AI Engineer

Design & deploy AI systems

4
ML Engineer

Production ML pipelines

5
GenAI Developer

LLMs, RAG & AI Agents

Project Portfolio

Real AI Projects You Will Build

Portfolio-ready projects that impress interviewers and demonstrate real AI skills.

ChatGPT Clone

Build your own conversational AI with LLMs and prompt engineering.

AI Resume Analyzer

Automated resume screening and scoring using NLP.

AI Chatbot

Intelligent chatbot with context-aware responses.

Recommendation Engine

Personalized recommendations using collaborative filtering.

AI Voice Assistant

Voice-controlled AI assistant with speech recognition.

AI Coding Assistant

Code completion and generation using AI models.

Program Overview

Built for Real-World AI Success

A practical bridge from learning to building production AI systems.

Who Should Join?

  • Software Developers (.NET, Java, Python)
  • Python Developers
  • Working Professionals
  • AI Enthusiasts
  • Engineers wanting to transition to AI/ML

Why Choose RI-TECH?

Industry-oriented, job-focused curriculum
Real-world live demos & hands-on labs
Dev-to-job transition focus
Small batch & personal attention
Career & placement guidance included
Industry-recognized certificate

What You Will Learn

  • 1

    Build ML models from scratch using Python & Scikit-learn

  • 2

    Create deep neural networks with TensorFlow & PyTorch

  • 3

    Apply CNNs for computer vision and OpenCV tasks

  • 4

    Build NLP models, transformers, and chatbots

  • 5

    Work with Generative AI, LLMs, LangChain & RAG

  • 6

    Deploy AI models with MLOps, Docker & cloud platforms

100% Practical Focus

Live labs & real AI projects every topic practiced, not just taught. Build portfolio-ready work.

ML & DL TensorFlow PyTorch Generative AI LangChain MLOps

Career Outcomes

Your Career After This Course

Roles you can apply for and industry salary benchmarks in the Indian market.

Job Roles You Can Apply For

ML Engineer
Data Scientist
AI Engineer
GenAI Developer
MLOps Engineer
NLP Engineer

Industry Numbers

₹8L
Avg AI/ML Engineer Salary
6+
Portfolio AI Projects
1000+
Working Students
72%
Placement Rate

Why RI-TECH?

Why AI/ML Training at RI-TECH Pune?

The most comprehensive, practical AI & ML program in Pune designed for real industry impact.

18+ Years in Business 1000+ Students Working in IT Industry 72% Placement Rate 10+ Hiring Partners
End-to-End AI Pipeline

From Python basics to deploying production AI models on cloud covers the complete AI pipeline that top companies use.

6+ Real Portfolio Projects

Build ChatGPT Clone, AI Resume Analyzer, AI Chatbot, Recommendation Engine, AI Voice Assistant, and AI Coding Assistant all portfolio-ready.

Latest Frameworks Covered

TensorFlow, PyTorch, Hugging Face Transformers, LangChain, OpenAI APIs the exact tools that AI Engineer job postings ask for in 2026.

Generative AI & LLMs

Go beyond traditional ML. Learn GPT models, prompt engineering, RAG architecture, AI agents, and fine-tuning LLMs for real applications.

Industry-Experienced Trainers

Our AI trainers have built production ML models at Wipro, Infosys AI Labs, and product startups. Real practitioners, not just academics.

AI Career Placement Support

Resume tailored for AI/ML roles, GitHub portfolio review, mock AI interviews with coding challenges, and referrals to AI-first companies.

Weekend & Online Batches

Perfect for working professionals. Learn at your pace with live doubt-clearing every week.

Certificate + Portfolio Ready

Industry certificate plus a complete AI project portfolio that proves your skills to employers and sets you apart in interviews.

Our Track Record

1000+
Successfull CareersAcross Pune and India since 2006
72%
Placement RateIndustry-leading placement success ratio
18+
Years of ExcellenceEstablished 2006 Cutting Edge Technologies
10+
Hiring PartnersDirect referrals to top IT companies in Pune

⚡ What Sets Us Apart

  • Software installed on your laptop by our technical team free of cost
  • Batch timing adjusted as per your work shift never miss a class
  • Lifetime Revisions
  • Onsite lab available no laptop required for classroom students
  • Affordable fee with EMI options quality education accessible to all
Enroll Now +91-87938 01215

FAQ

Frequently Asked Questions

Basic programming knowledge helps but is not mandatory. We cover Python for AI in Module 2, starting from fundamentals.

High school mathematics is sufficient. We cover the required statistics and linear algebra within the course itself, explained practically.

6+ complete projects: ChatGPT Clone, AI Resume Analyzer, AI Chatbot, Recommendation Engine, AI Voice Assistant, AI Coding Assistant, Face Recognition System, and more.

Yes. Modules 7-9 cover Generative AI, LLMs, GPT Models, Prompt Engineering, LangChain, RAG Architecture, and AI Agents in depth.

Yes many of our graduates are working as AI/ML engineers. We provide full placement support including referrals to companies hiring AI talent.

Yes, we offer weekend batches specifically for working professionals. Classes on Saturday and Sunday, with weekday recordings available.

Limited Seats Available

Ready to Take the Next Step?

Book your free demo class today. No commitment required.

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