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The Trafy AI Engineer Cohort is an intensive 8-week, instructor-led programme that takes complete beginners from their first lines of Python to building and deploying real AI-powered applications. It is built around building: you complete four practical projects, including an individual capstone, instead of only attending lectures.

It is designed for students who want to enter Artificial Intelligence, beginners who have never written code, graduates interested in AI engineering, working professionals exploring AI application development, aspiring founders who want to build AI-powered products, and anyone interested in automation, LLMs and intelligent applications.

No. No previous AI or programming experience is required. The curriculum starts from Python fundamentals and progressively introduces more advanced AI engineering concepts.

The cohort runs for 8 weeks with 2 live classes each week, 16 classes in total. Every class is 2 hours long, which adds up to 32+ hours of live teaching, plus weekly assignments and project work.

Yes. Working professionals who want to explore AI application development are one of the groups the programme is designed for. The form asks whether you are a working professional so a counsellor can guide you.

A laptop or desktop computer with a reliable internet connection is recommended. You will set up Python, VS Code, Google Colab and GitHub in the very first class.

You learn Python programming, data analysis with NumPy, Pandas and Matplotlib, machine learning with Scikit-learn, generative AI and large language models, prompt engineering and LLM APIs, backend development with FastAPI, SQL and PostgreSQL, Streamlit interfaces, embeddings and vector databases, retrieval-augmented generation (RAG), AI agents and tool calling, workflows with LangGraph, and deployment with Git and GitHub.

Week 1: Programming foundations. Week 2: Python and data handling. Week 3: Machine learning foundations. Week 4: Generative AI and LLM engineering. Week 5: AI application development. Week 6: RAG and knowledge-based AI. Week 7: AI agents and automation. Week 8: Deployment and capstone execution. You can download the full topic-by-topic curriculum as a PDF.

You build four practical projects: an AI chatbot in Week 4, a full-stack AI application in Week 5, an AI knowledge assistant using RAG in Week 6, and an individual capstone application across Weeks 7 and 8 that you deploy and present.

Every student picks a real problem and builds an AI-powered application for it. Ideas include an AI resume analyzer, study companion, customer support assistant, personal finance assistant, research assistant, document intelligence system or workflow automation application. You can also propose your own idea, subject to mentor approval and realistic scope.

Python, VS Code, Google Colab, NumPy, Pandas, Matplotlib, Scikit-learn, LLM APIs, FastAPI, Streamlit, SQL, PostgreSQL, FAISS, ChromaDB, LangChain, LangGraph, Git, GitHub and cloud hosting platforms. The emphasis is on implementing these tools, not just learning their definitions.

The programme is instructor-led with 32+ hours of live teaching. Each class includes a practical so you build as you learn.

Your evaluation covers attendance, weekly assignments, three projects, the capstone, GitHub contributions and a final presentation. The capstone is scored on AI implementation (25%), backend and functionality (20%), application architecture (15%), deployment and testing (15%), documentation and presentation (15%) and problem identification (10%).

Every cohort member gets free access to 30+ courses on the Trafy app, the Trafy Employability Index test, a Trafy profile to showcase their progress, and a GitHub portfolio built from their projects.

The Employability Index is a single, verifiable job-readiness score. It combines a 45-question MCQ round on computer science fundamentals, a timed DSA round of 2 problems in 45 minutes, and verification of your portfolio, LinkedIn, LeetCode and GitHub profiles.

Trafy is a social networking platform being built to connect students and graduates, working professionals, founders, trainers and educators, and recruiters and hiring teams. Cohort participants can contribute to the Trafy product and see how real technology products are developed.

No. Resume sharing, industry opportunities and investor interactions depend on selection, eligibility and performance, and none of them guarantees an interview, a job or funding. Trafy provides the learning environment, technical guidance, practical challenges and opportunities to demonstrate your ability.

Resumes of cohort performers are shared with FAANG companies for consideration. This gives additional visibility but does not guarantee interviews, shortlisting or employment. Top performers may also get opportunities with leading MNC companies, subject to selection and availability.

The top three performers have the opportunity to join Trafy as paid interns. Selection is based on performance, project quality, consistency and evaluation across the programme.

Students who develop promising product ideas may get opportunities to interact with investors and discuss their ideas. This is exposure to the startup ecosystem and funding is not guaranteed. Aspiring founders can also explore the Trafy Startup Track.

A stronger understanding of AI engineering, four practical projects, an individual capstone application, a GitHub portfolio, experience presenting technical work, a professional Trafy profile, and exposure to opportunities beyond the classroom.

Click Apply to the Cohort or Download Curriculum, fill in the short form with your name, email, phone number, graduation year and whether you are a working professional, and a Trafy counsellor will contact you with the next steps.

A Trafy counsellor shares fee, batch and schedule details with you after you submit the form. Download the curriculum first if you want to review every class before you speak to us.

Use any Download Curriculum button on this page, fill in the short form and the full 8-week curriculum PDF downloads instantly.