Mindgorithm
Apply Now →
AI robot working with holographic data interfaces
Early BirdSave ₹15,000

AI and ML CourseBuild Real Projects,Get Job-Ready

Transform your career with a practical AI and machine learning course designed for working professionals. Master Python, deep learning, and Generative AI with 8+ portfolio projects.

Enroll Now - ₹45,000
About the Program

What is This AI & ML Course?

Learn by Building

No passive video watching.

Industry Tools, Not Just Theory

Work with Python, TensorFlow, PyTorch, OpenAI API, LangChain, Hugging Face, the same tools companies use every day.

Portfolio-First Approach

Complete 8+ projects you can showcase to employers.

Built for Working Professionals

Weekend sessions.

The Problem

Why most AI courses don't work

The market is flooded with certificates that don't lead to jobs. We built Mindgorithm to fix what's broken.

Top 3 Fastest-Growing Jobs

AI and ML roles are among the fastest-growing jobs in India, with demand outpacing supply every year across all sectors.

Cross-Industry Demand

Companies across banking, healthcare, retail, and tech are all hiring AI talent; no sector is immune to AI transformation.

40–60% Higher Salaries

Average salaries for ML Engineers are dramatically higher compared to traditional developer roles across India and globally.

GenAI & LLM Demand Surge

Businesses need people who can build with ChatGPT and LLM technologies.

The gap isn't knowledge, it's applied skill. Those who can actually build AI & ML systems will command the biggest career advantage of this decade.

Ready to
future-proof your career?

Join 500+ professionals who've chosen practical AI training.

Reserve Your Seat
Who Should Join

Is This AI & ML Course Right for You?

This program is designed for anyone ready to build real AI skills regardless of their technical background.

Freshers &
Career Starters

Start your AI career with projects that prove you can build, not just study.

Working
Professionals

Weekend cohorts that fit around your job while you move into AI roles.

Developers &
Tech Pros

Add ML, deep learning, and LLM skills to your engineering toolkit.

Career
Switchers

Change tracks into AI with a guided path from Python to deployment.

Eligibility: Bachelor's degree with min. 50%  •  Coding experience NOT required

Curriculum

AI & ML Course Curriculum
7 Modules, 8+ Projects

A practical 6-month AI and ML course for working professionals. Build 8+ portfolio projects, master Python, deep learning, Generative AI, and get job-ready.

Module 01

Foundations

Build your base: Python and essential math for ML

  • Write Python code confidently using NumPy, Pandas, and Matplotlib
  • Understand probability and statistics concepts ML algorithms use
  • Learn linear algebra essentials for deep learning
  • Process and visualize real-world datasets
  • Set up your development environment and tools
Module 02

Machine Learning Core

Master the algorithms that power AI systems

  • Build regression models to predict continuous values
  • Create classification models for decision-making
  • Apply clustering algorithms for pattern discovery
  • Engineer features that improve model performance
  • Evaluate models and avoid common pitfalls like overfitting
Module 03

Deep Learning

Unlock the power of neural networks

  • Understand how neural networks learn and make predictions
  • Build CNNs for image recognition tasks
  • Create RNNs and LSTMs for sequence data
  • Use PyTorch and TensorFlow frameworks
  • Apply transfer learning to solve problems faster
Module 04

Generative AI & LLMs

Work with the AI technologies transforming every industry

  • Understand how ChatGPT and LLMs work under the hood
  • Master prompt engineering for better AI outputs
  • Fine-tune models for your specific use cases
  • Build with OpenAI API, LangChain, and Hugging Face
  • Create RAG (Retrieval-Augmented Generation) systems
Module 05

Natural Language Processing

Make computers understand human language

  • Process and clean text data for analysis
  • Build text classification and sentiment analysis models
  • Work with transformers: BERT, GPT, T5
  • Create named entity recognition systems
  • Develop language generation applications
Module 06

Computer Vision

Teach machines to see and understand images

  • Process and augment image data for training
  • Build object detection systems
  • Create image segmentation models
  • Apply facial recognition techniques
  • Work with video processing pipelines
Module 07

MLOps & Deployment

Take your models from notebook to production

  • Package models for production use
  • Build APIs with FastAPI
  • Deploy models to cloud platforms
  • Set up CI/CD for ML systems
  • Monitor model performance in production

Tools You'll Master

Portfolio Projects

You Will Build 8+ Real AI Applications

Not toy examples — applications you can deploy and show employers.

Fraud Detection System

Build a Random Forest model on real transaction data. Achieve 97%+ accuracy with feature engineering and cross-validation.

  • Python
  • Random Forest
  • Sklearn
  • Pandas

Customer Churn Predictor

Predict which customers are likely to leave using XGBoost on telecom data. Deploy a REST API for real-time predictions.

  • XGBoost
  • FastAPI
  • Docker
  • Pandas

Image Classifier

Train a CNN with transfer learning to classify 100+ categories. Fine-tune ResNet on custom datasets and deploy to production.

  • PyTorch
  • CNN
  • ResNet
  • Transfer Learning

Sentiment Analyzer

Fine-tune BERT for multi-class sentiment analysis on social media data. Build a real-time dashboard with FastAPI.

  • BERT
  • Transformers
  • FastAPI
  • HuggingFace

AI Chatbot with RAG

Build a custom chatbot using LangChain and OpenAI API that answers questions from your own documents using retrieval-augmented generation.

  • LangChain
  • OpenAI
  • RAG
  • Pinecone

Document Q&A System

Create an intelligent Q&A system that ingests PDFs and web pages, stores embeddings in a vector database, and answers questions accurately.

  • LangChain
  • Embeddings
  • ChromaDB
  • FastAPI

Object Detection App

Build a real-time object detection system with YOLOv8. Deploy it as a web app that processes live video streams.

  • YOLOv8
  • OpenCV
  • FastAPI
  • WebRTC

Capstone: Deployed AI App

Your capstone project: a fully deployed AI application of your choosing. From idea to production with CI/CD, monitoring, and a live demo.

  • Full Stack
  • CI/CD
  • Cloud
  • Monitoring

Build these
projects and more

Graduate with a portfolio that proves your skills — not just a certificate.

Start Building
Career Outcomes

Where This AI & ML Course Takes You

AI & ML skills are in explosive demand. Here are the roles you'll be qualified for.

  • AI / ML Engineer

    Core role across product and services companies

    ₹10–28 LPA
  • Data Scientist

    In demand across banking, retail, and healthcare

    ₹8–22 LPA
  • GenAI Developer

    Specialized skills, premium pay

    ₹15–35 LPA
  • NLP Engineer

    Language AI for search, chat, and analytics

    ₹10–26 LPA
  • MLOps Engineer

    Ship and scale models in production

    ₹12–28 LPA

Salary ranges are estimates and vary by experience and company.

Regular Price: ₹60,000

₹45,000

  • Early Bird Price — Save ₹15,000
  • Batch starts: Upcoming Weekend
  • Duration: 6 months • 100% Live
  • Lifetime curriculum updates included
  • Small Batch Size

    Only 50 seats per batch.

  • Direct Instructor Access

    WhatsApp group for quick doubt resolution.

  • Lifetime Updates

    AI evolves fast.

  • AI & ML Professional Certification

    Industry-recognized certificate validating your ability to build, deploy, and maintain production AI systems.

  • Alumni Network Access

    Join a growing community of AI practitioners across India.

Frequently Asked Questions

Questions? We've got answers.

This course is designed for working professionals, freshers, and career changers who want to build practical AI and machine learning skills. Whether you have a software background, data analysis experience, or a completely different field, you can succeed here. Basic programming knowledge is helpful but not required.

No prior AI or ML experience is needed. The course starts from Python fundamentals and builds up gradually. If you have basic programming experience in any language, you will be comfortable. Complete beginners are welcome; we cover everything from the ground up.

Free content gives you information; we give you transformation. Every concept is immediately applied in a real project. You build 8+ portfolio-grade applications, get mentor code reviews, and have a cohort of peers working toward the same goal. Accountability, structure, and real projects make the difference.

The course is designed for working professionals. Expect 8–10 hours per week: weekend live sessions (Saturday and Sunday), plus project work during the week. All sessions are recorded, so if you miss one, you can catch up on your own schedule.

You will build 8+ industry-relevant projects including a fraud detection system, customer churn predictor, image classifier, sentiment analyzer, AI chatbot, document Q&A system, object detector, and a fully deployed capstone application. All projects use real-world datasets and are production-ready.

Yes. We provide career support including portfolio review, resume building, LinkedIn profile optimization, and mock interviews. We connect you with our hiring partner network and help you prepare for AI-specific technical interviews.

You will work with Python, NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras, OpenAI API, LangChain, Hugging Face, FastAPI, Docker, and Git, the same tools used by AI teams at top companies.

Ready to
Master AI & ML?

Join the next batch. Learn by building. Walk away with skills that matter.

Talk to a Counselor