Best Generative AI Course in Surat
Generative AI & Prompt Engineering Bootcamp
Our generative AI course in Surat teaches you to use and build with ChatGPT, Gemini, Claude and open-source models like a professional: advanced prompt engineering, custom GPTs, AI agents, RAG document chat and workflow automation. It is a practical prompt engineering course for students, developers and working professionals, taught at our City Light campus and online.
Why learn GenAI skills now
Generative AI is changing how software is written, how support teams work and how businesses handle documents and data. People who can design reliable prompts, build assistants and automate workflows with AI agents are in demand across IT companies, agencies and every kind of business.
Who this course is for
- Students and freshers who want an AI skill that employers ask for.
- Developers who want to build AI assistants, agents and automations.
- Working professionals, freelancers and business owners who want to use AI tools to work faster.
- Non-coders can start too: the course begins with how LLMs work and how to prompt them.
What you will learn
- How LLMs work: transformers explained simply, tokens, context windows, model limits, and the OpenAI, Gemini, Claude, Llama and Mistral landscape.
- Prompt engineering: persona, context, task and format, zero-shot and few-shot prompting, system prompts and structured JSON output.
- Advanced prompting: chain-of-thought, tree of thoughts, ReAct, reducing hallucinations and defending against prompt injection.
- Custom GPTs and assistants: GPT Builder, the Assistants API, knowledge bases and Actions that call live APIs.
- AI agents: planning, memory and tool use, single-agent workflows and multi-agent teams with CrewAI, AutoGen and LangGraph.
- RAG: embeddings, chunking, vector databases such as Pinecone and ChromaDB, and a secure document-chat system.
- AI automation: AI code reviews and test generation, log analysis, and Zapier or Make automations powered by LLM decisions.
- Responsible AI: data privacy, guardrails, open versus closed models and managing API costs.
Projects you will build
You build custom GPTs, a document chat system, single and multi-agent workflows, and a capstone AI tool or agentic workflow that solves a real business problem, packaged with a GitHub portfolio and a video demo for interviews.
Generative AI course fees
The course is offered as a basic track of 2-3 months, an advanced track of 8-9 months and a master track of 1 year. The listed fee is ₹30,000; call +91 95109 90292 to confirm the fee and duration of the track that suits you, or book a free demo class at our City Light campus.
Career after the course
Graduates work as AI Integration Developers, Prompt Engineers, AI Automation Specialists and AI-skilled developers, or use their new skills to grow their own business. Our placement assistance covers your portfolio, resume and interview preparation.
Related AI courses
Want deeper machine learning, deep learning and model training? See the AI and machine learning course. Building apps and websites? Our AI-integrated full stack course combines web development with AI coding tools.
Duration: 2-12 Months · Fees: ₹30,000
Course Curriculum
Introduction to Generative AI & LLMs
- The evolution of AI: From traditional Machine Learning to Generative AI.
- How Large Language Models (LLMs) actually work: The Transformer architecture explained simply.
- Overview of the AI landscape: OpenAI (GPT-4), Google (Gemini), Anthropic (Claude), and Open-Source models (Llama 3, Mistral).
- Understanding tokenization, context windows, and model limitations.
- Setting up API access and navigating playground environments.
Foundations of Prompt Engineering
- The anatomy of a perfect prompt: Persona, Context, Task, and Output format.
- Zero-shot vs. One-shot vs. Few-shot prompting techniques.
- System Prompts vs. User Prompts: Guiding model behavior at the core level.
- Formatting outputs: Forcing JSON, Markdown, tabular data, and specific code structures.
- Best practices for managing prompt iterations and version control.
Advanced Prompting Frameworks
- Chain-of-Thought (CoT) prompting: Forcing the AI to "think step-by-step" for complex logic.
- Tree of Thoughts (ToT) and reasoning pathways for complex problem-solving.
- The ReAct (Reasoning and Acting) framework: Bridging text generation with external actions.
- Identifying and mitigating AI hallucinations and biases in enterprise use cases.
- Prompt injection attacks: Understanding vulnerabilities and securing your prompts.
Building Custom GPTs & Assistants
- Navigating the OpenAI GPT Builder and Assistants API.
- Crafting robust Custom Instructions for tailored AI behavior.
- Uploading and managing proprietary Knowledge Bases for Custom GPTs.
- Integrating APIs using Actions: Allowing your GPT to fetch live data or trigger external webhooks.
- Deploying internal AI assistants for HR, customer support, and IT helpdesks.
Introduction to Agentic Workflows
- What is an AI Agent? Understanding the shift from passive prompts to autonomous agents.
- The core components of an agent: Planning, Memory (Short-term vs. Long-term), and Tool use.
- Giving AI access to the outside world: Web search tools, calculators, and code interpreters.
- Designing single-agent workflows to automate repetitive IT and administrative tasks.
- Tracing agent thought processes and debugging infinite loops.
Multi-Agent Systems & Frameworks
- The power of collaboration: Why multi-agent systems outperform single models.
- Introduction to leading agent frameworks: CrewAI, AutoGen, and LangGraph.
- Defining distinct agent roles, goals, and backstories for specialized tasks.
- Orchestrating agent conversations: Sequential, hierarchical, and asynchronous workflows.
- Building a "virtual IT team" (e.g., a researcher agent passing data to a coder agent, reviewed by a QA agent).
Retrieval-Augmented Generation (RAG) Foundations
- Why fine-tuning is often the wrong choice: The power of RAG for enterprise data.
- Understanding vector embeddings: Translating text into mathematical representations.
- Chunking strategies: Breaking down large PDFs and corporate documents for AI retrieval.
- Introduction to Vector Databases (Pinecone, ChromaDB).
- Building a secure, offline document-chat system using open-source models.
AI Workflow Automation for IT Operations
- Integrating Generative AI directly into the Software Development Life Cycle (SDLC).
- Automating code reviews, unit test generation, and pull request summaries.
- Using AI to translate legacy code (e.g., migrating old PHP to modern Node.js).
- Automating server log analysis and infrastructure anomaly detection.
- Building Zapier/Make automations supercharged by LLM decision-making.
AI Ethics, Governance & Enterprise Strategy
- Navigating data privacy: Understanding SOC2 compliance and GDPR in the age of AI.
- Open-source vs. Closed-source: Choosing the right model for enterprise data security.
- Implementing guardrails to prevent AI from sharing sensitive intellectual property.
- Calculating API costs and managing token optimization for scale.
- Designing a company-wide AI adoption strategy and training non-technical staff.
Capstone Project & Career Placement
- End-to-End Capstone: Building a fully functional Agentic Workflow or Custom AI Tool tailored to solve a specific Surat IT industry problem.
- Packaging your AI solutions into an impressive GitHub portfolio and video demonstrations.
- Crafting a resume that highlights Prompt Engineering, Agent Orchestration, and API integrations.
- Interview preparation: Defending your architecture choices and demonstrating AI ROI to business leaders.
- Networking and positioning yourself as a Lead AI Integrator in the local tech ecosystem.
Why Choose Extrabits for Generative AI & Prompt Engineering Bootcamp Training?
At Extrabits Academy, we provide the best Generative AI Course in Surat, offering more than just theory - we provide an opportunity to enhance your career with practical knowledge and live project experience.
Gain insights from professionals with years of real-world experience.
Work on live projects and build a portfolio that stands out.
Choose from weekend or weekday batches to suit your schedule.
Master core concepts and advanced techniques in modern technology.
Apply your skills to solve real business problems through case studies.
Earn a recognized certificate to boost your career opportunities.
Student Reviews
Rated 4.9/5 ★ from 109 Google reviews
Google review · Jul 2026
★★★★★
"I am learning Generative Ai from Extrabits Academy. The faculty is very knowledgeable and very helpful. I made real world project and internship from here 💯"
Google review · Sep 2026
★★★★★
"My experience at ExtraBits Academy was exceptional. The teaching was excellent, the staff was supportive and professional, and I gained valuable knowledge and skills. I really enjoyed my learning experience and would definitely recommend ExtraBits Academy to others."
Google review · Sep 2026
★★★★★
"Best couching classes in surat The teaching is clear and practical, and the faculty is very supportive. They explain concepts properly and help students whenever they have doubts. The learning environment is also very good. Highly recommended for students who want to improve their IT and computer skills."
FAQs about the Generative AI Course in Surat
What is the fee for the generative AI course in Surat?
The listed fee for the Generative AI and Prompt Engineering course at ExtraBits Academy is ₹30,000. Call +91 95109 90292 to confirm the fee and duration of the basic, advanced or master track.
How long is the generative AI course?
There is a basic track of 2-3 months, an advanced track of 8-9 months and a master track of 1 year, so you can choose the depth that fits your goals.
Can a non-programmer join the generative AI course?
Yes. The course starts with how large language models work and how to write effective prompts. Coding helps for the agent and automation modules, and we teach what you need.
Will I learn ChatGPT, custom GPTs and AI agents?
Yes. You master prompting for ChatGPT, Gemini and Claude, build custom GPTs with knowledge bases and Actions, and create AI agents with CrewAI, AutoGen and LangGraph.
Is this a prompt engineering course?
Yes. Prompt engineering is a core part, from the basics to chain-of-thought, ReAct and defending against prompt injection, and the course goes further into agents, RAG and automation.
Which is better for me, generative AI or AI and machine learning?
Choose generative AI to build with existing models through prompting, assistants and agents. Choose AI and machine learning if you want to train models and go deep into data science and deep learning.
Where are the generative AI classes in Surat held?
At our campus on the 3rd floor of Agrasen Shopping Point, City Light Road, Athwa, Surat 395007. Online batches are also available across Surat.
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