Python for AI
Beginner foundation in Python for AI
- 6 weeks
- Classroom
- For: Freshers, beginners
From graduate to job-ready in six months
Many engineering graduates finish college with a degree but without the practical skills companies ask for in interviews. If that is you, you are not alone, and it is fixable.
The AI Job-Ready Program takes you from Python basics to building real AI apps with machine learning, Generative AI, RAG and AI agents. Every month ends with a project, so by the end you have a portfolio to show, not just a certificate.
The last month is about getting hired: a capstone project, resume building, a LinkedIn profile review, mock interviews and placement assistance while you apply.
Program at a glance
- Duration
- 6 months
- Fee
- ₹45,000 incl. GST
- EMI
- From ₹7,500/month
- Mode
- Classroom, Nagpur
- Batch size
- Max 20 students
Month-by-Month Plan
Month 1
Python foundations
Setting up Python, VS Code and Jupyter · Variables, data types, conditions and loops · Functions, modules and error handling · Lists, dictionaries, files (CSV and JSON) · Object-oriented programming basics · Git and GitHub: saving and sharing your work
Month 2
Working with data
NumPy for fast calculations · Pandas for cleaning and analysing data · Charts with Matplotlib and Seaborn · SQL basics: SELECT, JOIN, GROUP BY · Statistics you actually need for ML · Exploratory data analysis on a real dataset
Month 3
Machine learning
How machine learning works, without heavy maths · Regression and classification with scikit-learn · Decision trees, random forests and gradient boosting · Train/test split, cross-validation and metrics · Clustering and unsupervised learning · Saving a model and using it in a small app
Month 4
Deep learning and Generative AI basics
Neural networks and how they learn · Hands-on with PyTorch · Text, embeddings and an introduction to transformers · How large language models (LLMs) work · Prompt engineering for reliable answers · Calling LLM APIs from Python
Month 5
LLM apps, RAG and AI agents
Retrieval-augmented generation (RAG) step by step · Vector databases and semantic search · Building chatbots over your own documents · Tool calling and AI agents · Simple web apps with Streamlit and FastAPI · Testing and improving answer quality
Month 6
Capstone project and placement preparation
Capstone project: plan, build and present · Resume building focused on your projects · LinkedIn profile review · Mock interviews: technical and HR rounds · How to explain your projects with confidence · Placement assistance for your job search
Projects for Your Portfolio
Expense tracker in Python
Read and write CSV files, calculate totals and show a monthly summary.
Sales data analysis
Clean a messy sales dataset with Pandas and answer business questions with charts.
House price predictor
Train and compare regression models, then explain which features matter most.
Customer churn classifier
Predict which customers may leave and measure the model with the right metrics.
PDF question-answering chatbot
A RAG app that answers questions from your own documents.
AI agent with tools
An assistant that can search, calculate and call APIs to finish a task.
Capstone project
A complete AI app of your choice, deployed and presented to the batch.
How We Prepare You for Placements
Placement assistance is support, not a guarantee. Here is exactly what it includes.
- 1
Build real skills
Six months of hands-on learning, from Python to Generative AI, with a project every month.
- 2
Create your portfolio
Your projects go on GitHub, so employers can see your work, not just your marks.
- 3
Resume building
We help you write a resume that leads with your projects and skills.
- 4
LinkedIn profile review
We review your profile so recruiters can find you and understand what you can do.
- 5
Mock interviews
Practice technical and HR rounds, with honest feedback on what to improve.
- 6
Placement assistance
Support from our team while you apply for jobs, so you are not doing it alone.
A Note for Parents
Choosing a course after graduation is a family decision, and the fee matters. Here is what you can expect from us.
- Come to the free demo class together and meet the trainer before paying anything.
- Fees are shown upfront: ₹45,000 including GST, with EMIs from ₹7,500/month.
- Small batches of up to 20 students, so no one is left behind.
- A real classroom with a fixed timetable, not just videos at home.
- Recorded sessions, so a missed class does not mean falling behind.
- We will never promise a guaranteed job. We promise skills, projects and placement assistance, and we explain exactly what that includes.
Fees and EMI
₹45,000
including GST, for the full 6 months
EMIs start from ₹7,500/month. Ask us for the exact EMI plan at the demo class.
Batch Timings
Small batches of up to 20 students, so your trainer knows your name and your code.
Weekday morning
9:00 – 11:00 AM
Weekday evening
7:00 – 9:00 PM
Weekend (Sat–Sun)
10:00 AM – 1:00 PM
Shorter Courses for Freshers
Not ready for six months? Start with a foundation course and move up later.
Data Analytics with AI
Excel, SQL, Python, Power BI and AI tools
- 12 weeks
- Classroom + live online
- For: Professionals, freshers
Visit the Free Demo Class with Your Parents
Meet the trainer, see the classroom and ask every question before you decide. Parents are welcome.
Every Saturday, 11:00 AM – 12:30 PM · Also bookable on weekdays by appointment
Freshers: Frequently Asked Questions
I graduated a year ago and still have no job. Is it too late?
No. Many companies hire based on skills and projects, not only on your graduation year. Six months of focused learning and a strong project portfolio can change how interviews go.
What does placement assistance include?
Resume building, a LinkedIn profile review, mock interviews (technical and HR), and support while you apply for jobs. We do not guarantee a job.
How much does it cost and can I pay in EMIs?
The fee is ₹45,000 including GST, with EMIs from ₹7,500 per month.
Can my parents visit before I join?
Yes, and we encourage it. Parents are welcome at the free demo class (every saturday, 11:00 am – 12:30 pm) or can visit us at the institute during opening hours.
What if I miss a class?
Every course includes recorded session access, so you can catch up. You can also bring your questions to the doubt-solving sessions.
Do I need a laptop?
Lab computers are available in the classroom, but we recommend bringing your own laptop so you can practise at home.
Which language is the program taught in?
Classes are taught in English, Hindi and Marathi.