Build a practical Artificial Intelligence foundation through AI, Machine Learning, Generative AI and LLM concepts, prompt engineering, AI tools, API request-response flow, chatbot planning, RAG basics and document question-answering exposure at Zestminds Academy’s Mohali campus.
This short-duration program is suitable for beginners, students, freshers and professionals who want practical AI exposure before choosing a deeper 3-month or 6-month training track.
Suitable for B.Tech, BCA, MCA and M.Tech students, beginners, freshers, Python learners and professionals exploring Artificial Intelligence, Generative AI, prompt engineering and LLM applications.
Understand the difference between major AI concepts and where each one is used.
Write structured prompts, test responses and improve weak AI outputs.
Understand user input, JSON responses and assistant workflow planning.
Explore knowledge bases, embeddings, vector search and document-based responses.
A focused beginner syllabus covering AI concepts, prompt engineering, AI tools, API workflows, chatbot planning and RAG introduction.
Understand how users, prompts, models, APIs, documents and output validation connect inside a practical AI application workflow.
Download Full SyllabusUnderstand Artificial Intelligence, Machine Learning, Generative AI and Large Language Models, common use cases, limitations, hallucinations and responsible usage basics.
Practice role-based prompts, structured prompts, prompt refinement, output formats, response checking and quality improvement.
Learn what an AI API is, how request-response flow works, how JSON responses are handled and how chatbot-style user journeys are planned.
Explore knowledge bases, document preparation, embeddings, vector search and the basic flow of document-based question answering.
This course is designed for learners who want practical AI exposure without unrealistic advanced claims.
B.Tech, BCA, MCA and M.Tech students looking for short-term AI and LLM project exposure.
Learners who want to understand AI, GenAI, prompts, APIs and RAG from a practical starting point.
Professionals exploring AI tools, automation, prompt workflows or LLM applications.
Students learn why each step matters instead of only copying prompts or API code.
Understand the user problem.
Organize data or documents.
Write prompts and rules.
Plan the model or API flow.
Check output and errors.
Refine prompts and responses.
Assignment details may vary by batch and student readiness, but the focus remains practical workflow understanding.
Create structured prompts, compare outputs and improve weak responses.
Review accuracy, relevance, formatting, hallucinations and missing context.
Plan user input, assistant response, follow-up questions and fallback handling.
Generate reliable bullet points, tables and JSON-style response formats.
Understand request fields, response data and common API output errors.
Discuss document preparation, retrieval flow and response generation.
Students receive guidance to create structured prompts, evaluate outputs, plan a chatbot-style conversation, understand AI API responses and explain a basic document Q&A or RAG workflow. This is foundation exposure, not advanced AI engineering mastery.
Outcomes depend on attendance, practice, assignment quality and student consistency.
Explain AI, ML, GenAI and LLMs using practical examples.
Create repeatable prompts with clear context and output rules.
Explain how user input reaches an AI model and returns a response.
Understand how documents, retrieval and generation connect.
Students practice prompts, output checking, chatbot flows, AI APIs and RAG concepts with direct mentor guidance.
Review the essential course information before booking counselling.
Address:
E-45, Industrial Area, Phase 8, Mohali
Students from Chandigarh, Panchkula, Kharar, Zirakpur and nearby Tricity areas can attend the offline course at the Mohali campus.
Need Python for AI, Machine Learning, a GitHub project or deeper application development?
Compare All AI & LLM ProgramsQuick answers for students and parents before joining the course.
The course duration is 45 days and the fee is ₹7,000.
It is an offline classroom program conducted at Zestminds Academy’s Mohali campus.
Yes. The course begins with AI, ML, Generative AI and LLM foundations before moving into prompts, APIs and RAG concepts.
Python is not mandatory for the foundation-level prompt and workflow topics. Basic programming knowledge can help when understanding API concepts.
The course covers AI, Machine Learning, Generative AI, LLM fundamentals, prompt engineering, AI tools, API workflows, chatbot planning and RAG basics.
Yes. Students practice prompt workflows, output checking, structured responses, chatbot flow planning, API response handling and document Q&A concepts.
No. The 45-day course builds practical AI and LLM foundations. Deeper Python, Machine Learning, application development and project preparation require continued practice or a longer program.
Yes. Students from Chandigarh, Panchkula and nearby Tricity areas can attend classes at the Mohali campus.
Build a practical foundation in AI, Generative AI, prompt engineering, AI APIs, chatbot workflows and RAG concepts.
Fee: ₹7,000 | Mode: Offline | Location: Mohali Campus
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