Project-first learning
Every module ends with something you build — from a prediction model to an AI chatbot with your own data.
AI & ML Industrial Training · Mohali
Learn AI & Machine Learning by building real projects
From Python to LLMs, computer vision and deployment — train inside a working AI company, guided by engineers who ship AI products every day. Beginner-friendly. Portfolio-ready.
12 WeeksDuration
MohaliClassroom
5 ProjectsHands-on
Beginnerto job-ready
# Your first ML model — in week 5 from sklearn.ensemble import RandomForestClassifier from sklearn.model_selection import train_test_split X_train, X_test, y_train, y_test = train_test_split(X, y) model = RandomForestClassifier(n_estimators=200) model.fit(X_train, y_train) print("accuracy:", model.score(X_test, y_test)) # → deploy it with FastAPI + Render in week 11
Python, NumPy, pandas, scikit-learn, PyTorch, TensorFlow, Hugging Face, OpenCV, LangChain, FastAPI, Render, Vercel, Git, Jupyter, Streamlit.
Why Bexo AI
Not another theory course. A real AI studio is your classroom.
Most trainings stop at slides. Here you learn the way AI teams actually work — build, break, fix and ship.
Mentors from industry
Learn from engineers who build AI agents, video analytics and automation for real clients.
Modern GenAI stack
LLMs, embeddings, RAG and agents alongside classic ML — the skills teams are hiring for now.
Portfolio & certificate
Leave with a GitHub portfolio of deployed projects and a certificate of completion.
Curriculum
8 modules. Zero to deployed AI.
No prior ML knowledge needed — just curiosity and basic computer skills. We start from Python and go all the way to shipping a model behind an API.
01
Python & Data FoundationsWeeks 1–2
- Python essentials & clean code
- NumPy & pandas for data
- Data cleaning & EDA
- Visualisation (Matplotlib, Seaborn)
- Git, GitHub & Jupyter workflow
- SQL basics for analysts
Outcome: analyse a real dataset end-to-end and present insights.
02
Maths & Statistics for MLWeek 3
- Linear algebra intuition
- Probability & distributions
- Statistics & hypothesis testing
- Gradient descent, explained visually
Outcome: understand why models work, not just how to call them.
03
Machine LearningWeeks 4–5
- Regression & classification
- Decision trees, Random Forest, XGBoost
- Feature engineering
- Model evaluation & tuning
- Clustering & recommendation basics
- scikit-learn pipelines
Outcome: build, evaluate and improve predictive models.
04
Deep LearningWeeks 6–7
- Neural networks from scratch
- PyTorch / TensorFlow
- CNNs for images
- Training tricks & regularisation
Outcome: train your own neural network and read model metrics with confidence.
05
NLP, LLMs & Generative AIWeeks 8–9
- Text processing & embeddings
- Transformers & Hugging Face
- Prompt engineering
- RAG: chat with your documents
- LangChain & AI agents
- LLM APIs & evaluation
Outcome: ship an AI assistant that answers from your own data.
06
Computer VisionWeek 10
- OpenCV fundamentals
- Object detection (YOLO)
- Video analytics basics
- Face & pose detection concepts
Outcome: detect and count objects in images and video.
07
DeploymentWeek 11
- FastAPI model serving
- Streamlit demo apps
- Deploy on Render
- Deploy on Vercel
Outcome: put a working model online with a public link.
08
Capstone & Career PrepWeek 12
- Industry-style capstone project
- Code review & demo day
- Resume, GitHub & LinkedIn polish
- Mock technical interviews
Outcome: a portfolio project you can proudly explain in interviews.
Build & showcase
Projects that look great on your resume
Pick from real-world problems businesses actually pay to solve. Each project is reviewed by a mentor.
AI Support Chatbot (RAG)
Answers customer questions from PDFs and web pages using LLMs and embeddings.
Video Analytics Dashboard
Detect and count people or vehicles in CCTV-style footage with object detection.
Sales & Demand Forecasting
Predict next-month demand and visualise trends for a restaurant or retail business.
Resume Screening with NLP
Rank candidates against a job description using text similarity and embeddings.
Smart Recommendation Engine
Suggest menu items or products from past behaviour — the engine behind modern food-tech apps.
Image Classifier — Deployed
Train a deep-learning model and publish it as a live web app anyone can try.
How it works
Your journey in 5 steps
A simple rhythm that turns beginners into builders.
Learn
Short, focused concept sessions with live coding — no boring lectures.
Practice
Guided labs and daily assignments to lock the concepts in.
Build
Apply it on real datasets and client-style problem statements.
Review
Mentor code reviews and doubt-clearing sessions every week.
Showcase
Demo day, GitHub portfolio and interview preparation.
Who it's for
Made for people starting their AI career
Students
B.Tech, BCA, MCA, B.Sc and diploma students looking for industrial training or a strong final-year project.
Freshers
Graduates who want practical, job-ready AI skills and a portfolio that stands out.
Working professionals
Developers, analysts and testers moving into AI/ML and GenAI roles.
Career outcomes
Skills that open real doors
- Deployed projects you can demo in any interview.
- Resume, GitHub & LinkedIn review by working engineers.
- Mock technical interviews and feedback.
- Certificate of completion from Bexo AI.
We provide career guidance and interview preparation. We do not promise jobs — your skills and portfolio do the talking.
Roles you can aim for
Machine Learning EngineerAI DeveloperData AnalystGenAI / LLM
App DeveloperComputer Vision EngineerJunior Data ScientistAI
Automation Specialist
FAQ
Questions students ask us
Do I need prior coding or ML experience?
No. We start from Python basics. If you are comfortable with a computer and curious about AI, you can join. Basic school-level maths is enough — we teach the rest.
How long is the training and what are the timings?
The standard program is 12 weeks. Batch timings (weekday / weekend) are shared when you enquire. Short-duration industrial training formats can be discussed on request.
Is it classroom or online?
Classroom sessions happen at our Mohali office (Sector 74, Industrial Area). Ask us about online or hybrid options for your batch.
Will I get a certificate?
Yes. You receive a certificate of completion from Bexo AI after finishing the program and your capstone project.
What do I need to bring?
A laptop with at least 8 GB RAM is recommended. We guide you through installing everything on day one; heavy training runs use free cloud GPUs.
What is the fee? Is there a discount for students?
Fees depend on the batch and format. Fill in the enquiry form or call us and we will share the current fee, installment options and any student offers.
Limited seats per batch
Ready to build your AI career? Start here.
Share your details and our team will call you with batch dates, fee and a free counselling session. Small batches mean more mentor time for every student.
- Call us: +91 97360 44300
- E 260, Phase 8B, Industrial Area, Sector 74,
Sahibzada Ajit Singh Nagar (Mohali), Punjab 160055
Get free counselling
We reply within one working day.