Learn practical AI, Generative AI and Large Language Model concepts through a focused 45-day offline classroom training program at Zestminds Academy, Mohali.
This AI & LLM course is designed for students, beginners, freshers and career switchers who want to understand how modern AI tools, prompts, APIs and LLM-based applications work in real development scenarios.
Suitable for B.Tech, BCA, MCA students, beginners, freshers and students looking for short-duration AI, LLM or industrial training exposure in Mohali.
Learn AI, Generative AI, LLM basics, prompt engineering and AI workflows through guided classroom practice.
Learn from mentors who understand real software development, AI integration, APIs and automation workflows.
Practice prompts, AI API flow, chatbot-style workflows and project-style AI assignments with mentor support.
Discuss your current level, batch timing, syllabus and whether this 45-day AI course fits your learning goal.
This course is suitable for learners who want practical exposure to AI and LLM concepts without jumping directly into advanced machine learning research or complex AI engineering.
Useful for college students who want 45 days AI and LLM training with practical classroom exposure in Mohali.
Learn how AI tools, prompts, LLMs, APIs and chatbot-style workflows are used in modern software applications.
Suitable for students looking for summer training, industrial training or short-duration AI exposure in Mohali.
This course helps students build a practical foundation. It does not claim that a student will become an advanced AI engineer in 45 days. The focus is on concepts, guided assignments, prompt practice, AI workflow understanding and confidence building.
In this 45-day AI & LLM training program, students learn how modern AI tools and large language models are used in practical workflows.
The main goal is to help students move from “I only use AI tools casually” to “I understand how AI and LLM-based workflows are planned, used and improved.”
This 45-day AI & LLM training is structured as a practical foundation program. Students move from AI concepts to prompts, LLM usage, AI APIs, chatbot workflow and guided project-style assignments.
Understand what AI means, how machine learning fits into AI, what Generative AI does and why LLMs are important in modern applications.
Revise Python basics such as variables, data types, lists, dictionaries, functions, file handling, APIs and beginner-level debugging.
Learn the basic idea of data, features, training, prediction and where machine learning fits inside AI applications.
Understand prompts, tokens, context, model responses, hallucination, limitations and safe usage of large language models.
Practice role-based prompts, structured prompts, prompt refinement, testing and improving weak AI outputs.
Learn how user input is sent to AI models, how responses are received, and how AI APIs fit inside application workflows.
Understand chatbot flow, user input handling, prompt design, response generation, context and simple assistant workflow.
Get beginner-level exposure to knowledge bases, embeddings, vector search and document-based question answering.
Apply learning through practical exercises, prompt tasks, chatbot-style workflows and project-style AI assignments.
Students get beginner-friendly exposure to practical tools, concepts and workflows used in AI and LLM-based application development.
| Category | Tools / Practice Area |
|---|---|
| Programming | Python basics revision for AI workflows |
| AI Concepts | AI, ML, Generative AI and LLM fundamentals |
| Prompting | Prompt writing, prompt refinement and prompt testing |
| AI APIs | API request-response flow, JSON and AI response handling |
| Chatbot Workflow | User input, AI response generation, basic context and assistant flow |
| RAG Introduction | Knowledge base, embeddings, vector search and document-based Q&A basics |
| Version Control | Git and GitHub basics, if required for assignments |
The course focuses on understanding how these tools and concepts work together instead of only memorizing definitions.
In a 45-day AI & LLM course, promising advanced AI mastery is not realistic for every student. This training focuses on guided assignments and project-style exposure so students can understand how AI concepts are applied in practical workflows.
Write and improve prompts for content, coding, analysis, automation and structured AI responses.
Understand how a simple AI chatbot takes user input, uses prompts and returns AI-generated responses.
Learn how AI API request and response flow works, including JSON response handling and common mistakes.
Explore how AI systems can answer questions from documents or knowledge bases using beginner-level RAG concepts.
Understand why AI responses may be vague, wrong or incomplete and how better prompts and checks can improve quality.
Build practical thinking around how AI can support content, support, automation, data and software workflows.
Students get guided exposure to AI and LLM-based workflows. The purpose is to build practical understanding and learning confidence, not to promise advanced AI engineering expertise within 45 days.
Clear course details help students and parents understand the fee, duration, batch timing and learning format before enrolling.
| Detail | Information |
|---|---|
| Course Name | 45 Days AI & LLM Training in Mohali |
| Location | Mohali |
| Mode | Offline classroom training |
| Duration | 45 Days |
| Fee | ₹7,000 |
| Morning Batch | 10:00 AM – 1:00 PM |
| Afternoon Batch | 2:00 PM – 5:00 PM |
| Best For | B.Tech, BCA, MCA students, freshers, beginners and short-term training learners |
Students can speak with the counselling team before joining to understand whether this course matches their current skill level and learning goal.
This training is designed to help students build a practical starting point in AI and LLM concepts. It does not promise guaranteed jobs, advanced mastery or complete AI developer readiness in 45 days.
Understand how AI tools and large language models are used in modern software, automation and business workflows.
Build confidence in writing, testing and improving prompts for different practical use cases.
Prepare for deeper AI, machine learning, data science, automation or AI application development learning paths.
Students who want deeper AI model development, advanced machine learning, production AI applications or large project work can later move into longer AI, ML, data science or software development training paths.
Zestminds Academy is built for students who want practical software and technology training, not only classroom theory.
Students can ask doubts, practice in class, discuss concepts and learn with direct mentor support.
Training is guided by professionals who understand software development, backend systems, AI integration and automation workflows.
Students learn how AI concepts, prompts, APIs and application flows connect instead of only studying definitions.
Guided assignments help students practice prompts, AI responses, chatbot flow and beginner AI use cases.
Students can discuss their background, course fit, batch timing, fee and learning path before joining.
The focus is on skill clarity and practical confidence, not fake job promises or unrealistic claims.
Zestminds Academy offers offline AI & LLM training in Mohali for students who prefer face-to-face learning, mentor interaction, classroom practice and direct doubt-clearing.
Students from nearby locations can contact the academy to discuss course fee, batch timing, syllabus and whether the 45-day AI & LLM course is right for their current level.
Address: E-45, Industrial Area, Phase 8, Mohali
Phone: 919056277961
Email: hello@zestmindsacademy.com