Webnetis
AI Training Institute in Nagpur

AI Job-Ready Program in Nagpur

Six months, one goal: get you ready for your first job in AI. Python, machine learning, Generative AI, LLM apps, RAG and AI agents, with interview preparation built in.

Duration
6 months
Fee
₹45,000 incl. GST
EMI
From ₹7,500/month
Mode
Classroom
Batch size
Max 20 students
Certificate
Certificate of completion
Book a Free Demo ClassAsk for next batch dates

Course Overview

The AI Job-Ready Program is our longest and most complete course. It is built for engineering and science graduates who have finished college and want a job in AI, data or software.

You start from Python basics, so you do not need any AI background. Every month ends with a project you can put on GitHub and talk about in interviews.

In the last month you build a capstone project and prepare for interviews with resume building, a LinkedIn profile review and mock interviews. Our team then supports your job search with placement assistance.

Who this course is for

  • B.E., B.Tech, BCA, MCA, B.Sc. and M.Sc. graduates looking for their first job
  • Final-year students who want to be job-ready by the time they graduate
  • Graduates from non-IT branches who are ready to learn programming from scratch
  • Anyone who wants a structured, full-time path into AI instead of scattered online videos
See: AI course for freshers

Curriculum

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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 You Will Build

  • 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.

Tools Covered

  • Python
  • Jupyter
  • VS Code
  • Git & GitHub
  • NumPy
  • Pandas
  • Matplotlib
  • SQL
  • scikit-learn
  • PyTorch
  • Hugging Face
  • LLM APIs
  • LangChain
  • Vector databases
  • Streamlit
  • FastAPI

Fee & EMI

₹45,000

including GST

Pay in EMIs from ₹7,500/month. Ask us for the EMI plan that suits you.

What is included

  • Hands-on projects
  • Certificate of completion
  • Recorded session access
  • Doubt-solving sessions
  • Resume building
  • LinkedIn profile review
  • Mock interviews
  • Placement assistance

The certificate of completion is issued by Webnetis when you finish the course. About our certificates

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

Book a Free Demo Class

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

Book on WhatsAppCall +91 84213 41253

Helpful Guides

AI Job-Ready Program: Frequently Asked Questions

What is the fee for the AI Job-Ready Program?

The fee is ₹45,000, including GST. You can also pay in EMIs starting from ₹7,500 per month.

Do you guarantee a job?

No institute can honestly guarantee a job, and we do not. What we do promise is placement assistance: resume building, a LinkedIn review, mock interviews and support while you apply. The projects you build are what get you noticed.

I am from a non-IT branch. Can I join?

Yes. The program starts with Python basics in Month 1. Many concepts are explained with simple examples before any code. You need to practise regularly, but you do not need prior programming experience.

How many hours a day is the class?

Each batch meets for about two to three hours per session. Current slots are: Weekday morning 9:00 – 11:00 AM, Weekday evening 7:00 – 9:00 PM, Weekend (Sat–Sun) 10:00 AM – 1:00 PM. You should also plan time for practice and projects at home.

Do I need to bring 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 class taught in?

Classes are taught in English, Hindi and Marathi. Trainers switch language whenever it helps you understand a concept better.

Can I attend a demo class before I pay?

Yes. The free demo class runs every saturday, 11:00 am – 12:30 pm. Also bookable on weekdays by appointment. Message us on WhatsApp at +91 84213 41253 to book a seat.

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