Offline 6-Month AI & LLM Industrial Training for Tricity Students

6 Months AI & LLM Industrial Training in Mohali & Chandigarh

Build practical Artificial Intelligence foundations during the first three months through Python for AI, data handling, Machine Learning, NLP, prompt engineering, AI APIs, chatbot workflows, RAG basics, Deep Learning introduction and deployment concepts.

Then spend the next three months developing a guided major AI project with workflow planning, testing, debugging, GitHub repository organization, README documentation, project demo preparation and interview discussion practice.

Location: Mohali Campus — Serving Chandigarh Tricity
Duration: 6 Months
Fee: ₹4,000 per month
Batches: 10 AM–1 PM / 2 PM–5 PM
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Suitable for B.Tech, BCA, MCA and M.Tech students, final-year students, freshers, beginners, Python learners and professionals exploring AI, ML, Generative AI and LLM applications.

3 Months AI Learning

Build Python, data, ML, NLP, prompt, API and RAG foundations.

3 Months Major Project

Apply AI concepts through one complete, guided application workflow.

Testing & Debugging

Review model output, API responses, prompt quality and application errors.

GitHub Documentation

Organize project files, README documentation and demo notes.

Training Structure

3 Months AI Learning + 3 Months Major Project

Students first build technical and workflow foundations, then apply them through a complete AI project.

Phase 1 — Months 1 to 3

AI, ML & LLM Foundation

Learn the Python, data, Machine Learning, NLP, prompt, API and RAG concepts required before starting a major AI project.

  • Python for AI revision
  • Files, JSON and basic automation workflow
  • Data handling with CSV and Pandas basics
  • Machine Learning workflow and evaluation basics
  • NLP and text-data foundations
  • Prompt engineering and structured outputs
  • AI API integration basics
  • Chatbot application flow
  • RAG and document Q&A basics
  • Deep Learning introduction
  • Computer Vision basics
  • Deployment and project presentation introduction
Phase 2 — Months 4 to 6

Major AI Project with GitHub Documentation

Apply Python, data handling, ML or LLM workflows, API integration, testing and documentation through one guided major project.

  • Project idea and problem statement
  • Dataset or document-source selection
  • Feature and workflow planning
  • Prompt or model strategy
  • Data preprocessing or document preparation
  • AI API, ML model or LLM integration
  • RAG pipeline where suitable
  • Backend or application-flow planning
  • Error handling and response validation
  • Testing and debugging
  • GitHub repository organization
  • README documentation
  • Project demo and presentation
  • Interview discussion practice
Download Complete AI & LLM Syllabus
Month-Wise Direction

What Students Work on During the 6 Months

The exact pace may vary by batch and student readiness, but the program follows this learning and project progression.

Month 1

Python, Data & AI Foundations

Python revision, files, JSON, datasets, Pandas basics and AI workflow thinking.

Month 2

ML, NLP & Prompt Engineering

Features, training, prediction, evaluation, text workflows and structured prompt practice.

Month 3

APIs, RAG, Deep Learning & Deployment Intro

AI APIs, chatbot flow, document Q&A, Deep Learning, Computer Vision and deployment basics.

Month 4

Project Planning & Architecture

Finalize the use case, requirements, data or document source and complete workflow plan.

Month 5

Integration, Testing & Debugging

Develop the main workflow, validate responses, fix errors and improve application behavior.

Month 6

Documentation, Demo & Explanation

Organize GitHub files, write the README, prepare the demo and practice project explanation.

Foundation Assignments

Practical Work During the First Three Months

Students complete smaller workflow assignments before beginning the major AI project.

Prompt Workflow & Evaluation

Create structured prompts, test outputs and document improvements.

ML Mini Project

Work with a beginner dataset to understand training, prediction and results.

AI API / Chatbot Assignment

Practice user input, JSON responses, output handling and conversation flow.

RAG / Document Q&A Assignment

Explore chunking, retrieval thinking and response-generation flow.

Major AI Project

Build a Complete AI Application Project

The final three months focus on applying AI concepts, Python, data handling, APIs, ML or LLM workflows and documentation.

Workflow Architecture

Plan the project features, user flow, model or API logic and data or document pipeline.

AI Integration

Connect an AI API, ML model or LLM workflow based on project suitability.

Testing & Improvement

Test outputs, validate responses, improve prompts and handle common errors.

GitHub Documentation

Organize project files, README instructions, limitations and demo notes.

Major Project Deliverables

Working Project + Testing Notes + GitHub README

Students receive guidance for project folders, data or document sources, prompt or model notes, AI API or LLM workflow code, testing records, improvement logs, README documentation and a project demo or presentation file. Final scope depends on student progress, tool access and project suitability.

Ask About the Major AI Project
Project Options

Major AI Projects Students May Work On

Project selection depends on the batch, tool availability, dataset or document availability and student readiness.

AI Chatbot or Assistant

Build a chatbot-style workflow with prompts, API flow, response handling and conversation planning.

Document Q&A / RAG Project

Prepare documents and build a retrieval-based question-answering workflow.

ML Prediction Project

Use a dataset to understand preparation, training, prediction and result explanation.

NLP Text Analysis Project

Analyze text for sentiment, classification or simple insight workflows.

AI API Workflow Application

Create an application where user input is processed through an AI API and the response is handled clearly.

AI Portfolio Repository

Maintain code, prompts, testing notes, documentation and demo material in GitHub.

Tools & Technologies

Tools Students May Use During Training

Tool selection depends on the selected project, batch plan and technical suitability.

Programming

Python, VS Code, command line, Jupyter Notebook or Google Colab.

Data & ML

Pandas, NumPy, scikit-learn basics and beginner dataset handling.

AI & LLM

AI tools, LLM APIs, prompt templates, response handling and structured outputs.

RAG Basics

Document preparation, embeddings concepts, vector search and document Q&A.

Testing

Postman or another API-testing tool, response checks and debugging notes.

Documentation

Git, GitHub, README files, project folders and presentations.

Course Fit

Who Should Join 6-Month AI & LLM Industrial Training?

This program is intended for learners who want structured AI learning and enough time to build a complete documented project.

Final-Year Students

B.Tech, BCA, MCA and M.Tech students who need longer project-focused training.

Freshers & Beginners

Learners who want a clear progression from Python and ML basics to AI applications.

Career Switchers

Professionals exploring AI tools, automation, ML, NLP or LLM application development.

Learning Environment

Mentor-Led Classroom and Project Guidance

Students practice Python, data handling, ML, prompts, APIs, RAG, testing and project documentation with direct mentor support.

Support During Training

  • Python and data-handling guidance
  • Machine Learning concept support
  • Prompt writing and output review
  • AI API and chatbot flow discussion
  • RAG and document Q&A guidance
  • Deep Learning and CV concept introduction
  • Testing and debugging support
  • GitHub README and demo guidance
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Classroom Learning at Zestminds Academy

6 months AI and LLM classroom training at Zestminds Academy Mohali
Offline AI industrial training at Zestminds Academy Mohali
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Course Information

Fee, Batches and Mohali Campus Details

Review the essential program information before booking counselling.

6-Month AI & LLM Training Details

  • Duration: 6 Months
  • Fee: ₹4,000 per month
  • Mode: Offline classroom training
  • Structure: 3 months learning + 3 months major project
  • Morning Batch: 10:00 AM–1:00 PM
  • Afternoon Batch: 2:00 PM–5:00 PM
  • Weekly Off: Saturday and Sunday
  • Required: Personal laptop for practical and project work

Project-focused training is included. Certificate and internship-letter support, when applicable, depends on attendance, assignments, completion criteria and academy process. Confirm exact documentation before admission.

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Mohali Campus — Serving Chandigarh Tricity

Address:
E-45, Industrial Area, Phase 8, Mohali

Students from Chandigarh, Panchkula, Kharar, Zirakpur and nearby Tricity areas can attend the offline program at the Mohali campus.

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FAQs

6 Months AI & LLM Industrial Training FAQs

Quick answers for students and parents before joining the program.

What is the fee and duration?

The program duration is 6 months and the fee is ₹4,000 per month.

How is the 6-month program structured?

The first 3 months focus on AI, Machine Learning and LLM foundations. The next 3 months focus on major AI project development, GitHub documentation and project explanation.

Is the training online or offline?

It is an offline classroom program conducted at Zestminds Academy’s Mohali campus.

Can beginners join?

Yes. The program begins with Python, data and AI foundations before moving into ML, NLP, APIs, RAG and the major project.

What tools and topics are covered?

The program covers Python, Pandas, NumPy, Machine Learning, NLP, prompt engineering, AI APIs, chatbot flows, RAG, Deep Learning introduction, Computer Vision basics and GitHub documentation.

Will students complete a major project?

Yes. The final three months are dedicated to a guided major project involving planning, integration, testing, documentation and presentation.

Will the project include GitHub documentation?

Yes. Students receive guidance for repository organization, project folders, version history and README writing.

Is internship training included?

The program includes project-focused training. Internship-letter or related documentation support, when applicable, depends on attendance, assignments, completion criteria and academy process. Confirm exact details during counselling.

Do students need to bring a laptop?

Yes. Students should bring a personal laptop for Python, APIs, AI tools, GitHub and major project work.

Does the program guarantee a job?

No. The program focuses on practical learning, project guidance, portfolio documentation, resume preparation and interview support. Employment is not guaranteed.

Start Your 6-Month AI & LLM Industrial Training

Build AI, ML and LLM foundations during the first three months, then develop and document a major AI project during the next three months.

Fee: ₹4,000/month   |   Mode: Offline   |   Location: Mohali Campus

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