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AI and Automation Skills

A guided set of courses for students who want to work with AI: foundations, machine learning and applied AI, in a sensible order. 4 courses

AI fluency is now expected well beyond core technology roles. This collection takes you from the foundations of artificial intelligence to machine learning and applied AI, so you can build and explain real projects.

Who this is for

Students and freshers from any branch who want to understand how AI systems work and use them well, including those aiming for AI engineer, ML engineer or data roles.

How to use this collection

  1. Start with the beginner courses and complete every assignment.
  2. Build one small project after each course and publish it with a clear README.
  3. Move to the intermediate courses only when you can explain the beginner concepts in your own words.

Free resources to start with

Research note: the TeamLease EdTech Career Outlook report for the first half of 2026 found employers moving to skills first hiring, with proof of work such as projects and portfolios valued over resumes alone.

Courses in this collection

  • Artificial Intelligence (AI): Beginner

    Go from zero to your first working AI model: Python, machine learning fundamentals, and hands on Generative AI with LLM APIs.

    CourseFee by email
    • Beginner
    • 8 weeks
  • Featured

    Machine Learning: Beginner

    Go from zero to your first trained model: Python, core ML algorithms, model evaluation, and a Generative AI explanation feature.

    CourseFee by email
    • Beginner
    • 8 weeks
  • Artificial Intelligence (AI): Intermediate

    Go from coder to AI engineer: deep learning, computer vision, NLP with transformers, RAG, fine tuning, and AI agents.

    CourseFee by email
    • Intermediate
    • 8 weeks
  • Machine Learning: Intermediate

    Go from coder to machine learning engineer: advanced feature engineering, ensemble models, deep learning, and Generative AI for ML work.

    CourseFee by email
    • Intermediate
    • 8 weeks
  • Data and Business Intelligence

    Courses for analyst roles across IT, BFSI, consulting and operations: Python for data, business analytics and data science foundations.

    4 courses

  • Cloud, DevOps and Security

    A set of courses for the infrastructure side of tech: cloud computing, DevOps practices and cybersecurity foundations.

    4 courses

  • Software Development Starter

    The core programming courses most fresher coding rounds expect: Python, Java, web development and full stack with DSA.

    4 courses

Not sure where to start?

Take the free aptitude test, or look through every course in the catalogue.