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.
- Beginner
- 8 weeks
Collection
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.
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.
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.
Go from zero to your first working AI model: Python, machine learning fundamentals, and hands on Generative AI with LLM APIs.
Go from zero to your first trained model: Python, core ML algorithms, model evaluation, and a Generative AI explanation feature.
Go from coder to AI engineer: deep learning, computer vision, NLP with transformers, RAG, fine tuning, and AI agents.
Go from coder to machine learning engineer: advanced feature engineering, ensemble models, deep learning, and Generative AI for ML work.
Courses for analyst roles across IT, BFSI, consulting and operations: Python for data, business analytics and data science foundations.
4 courses
A set of courses for the infrastructure side of tech: cloud computing, DevOps practices and cybersecurity foundations.
4 courses
The core programming courses most fresher coding rounds expect: Python, Java, web development and full stack with DSA.
4 courses
Take the free aptitude test, or look through every course in the catalogue.