No advanced maths degree needed. Go from zero to building, evaluating, and deploying real ML models — with LLMs, Hugging Face, and modern AI tools woven into every module.
From regression to deep learning, NLP to deployment — master the complete ML workflow with GenAI tools at every step.
Regression, classification, clustering, NLP, time series, deep learning — every major ML paradigm in one intensive workshop.
LangChain, Hugging Face, OpenAI API, and GitHub Copilot — use modern GenAI tools as part of your ML workflow from day one.
Deploy ML models as live APIs using FastAPI and Streamlit. Build a portfolio with real deployed apps, not just Jupyter notebooks.
Graduate with an Uncoder + IBM verified certificate and deployed ML projects on GitHub that any recruiter can test live.
Every module teaches real ML skills + the exact AI tools professionals use for that skill in production systems.
Graduate with live deployed ML models on GitHub and Hugging Face Spaces that any recruiter can test.
Train an XGBoost classifier on a financial transactions dataset. Use Copilot to write the pipeline, W&B to track experiments, and ChatGPT to write the report.
Build a sentiment analyser using Hugging Face transformers. Wrap it in a FastAPI endpoint and deploy it live — use Copilot to generate all the deployment code.
Build a Retrieval-Augmented Generation (RAG) system using LangChain and OpenAI API. Upload documents, ask questions, get cited answers — deployed on Hugging Face.
14 real ML and GenAI tools across every module — building production-ready systems, not just notebooks.
Machine learning is the engine behind every AI product. Here are the roles this workshop directly prepares you for.
Build, train, and deploy ML models into production systems. Work at the intersection of data science and software engineering.
Build AI-powered products using LLMs, LangChain, and Hugging Face. The highest-paid and fastest-growing role in tech right now.
Use ML to derive insights and predictions from business data. High demand at every company making data-driven decisions.
Keep ML models healthy in production — monitoring, retraining, and CI/CD pipelines for AI systems.
Build language-based AI systems — chatbots, document intelligence, and LLM-powered applications.
Work on cutting-edge ML research at AI labs, universities, and R&D teams. Requires strong ML foundations.
Here are the important details about the Machine Learning With GenAI workshop.
This is a 6-week workshop with live sessions, hands-on practice, assignments, and project-based learning.
No. This workshop starts from the basics, so students, freshers, and beginners can join comfortably.
Yes. GenAI tools are included in every module to help you understand AI-assisted threat analysis, report writing, policy creation, and security workflows.
The workshop is practical. You will work on real security concepts, tools, labs, case studies, and hands-on exercises.
Yes. After completing the workshop requirements, you will receive a completion certificate from Uncoder.
Students, freshers, IT professionals, career switchers, and anyone interested in Machine Learning and GenAI can join.
Student, fresher, or developer — if you know basic Python, you can start this workshop today. We teach everything else.
⚡ Limited seats per cohort — freshers & students get priority!