प्रवेश खुले हैं पाठ्यक्रम कोड: GAI

Certificate in Generative AI Fundamentals

How LLMs and image generators work, and how to build simple GenAI tools

A 4-month programme on generative AI: how LLMs work, prompt engineering, AI for documents, images, audio and video, embeddings and RAG, beginner Python in Google Colab, simple GenAI prototypes, and evaluation and safety.

4 months · 104 घंटे
Live online classes on Google Meet
QR से सत्यापन योग्य प्रमाणपत्र

इस पाठ्यक्रम में नामांकन करें शुल्क और धनवापसी की जानकारी

Certificate in Generative AI Fundamentals

कुल कार्यक्रम शुल्क: ₹44,999
अवधि: 4 months · 104 घंटे
अगला बैच: 01 फ़र॰ 2027

परिचय

About this course

Generative AI becomes more useful, and less mysterious, once you understand what is happening inside. This programme explains how large language models and image generators work in clear, practical terms, covering tokens, context windows, training versus everyday use, embeddings and diffusion, and then uses that understanding to get consistently better results from tools such as ChatGPT, Gemini and Claude.

You go well beyond casual chatting. You learn structured prompting techniques, work with long documents and your own knowledge sources, generate and edit images, audio and video responsibly, and write beginner Python in Google Colab to call an AI model through its API, process a spreadsheet of records in one go, and build a small chat or search tool with a simple web interface.

Throughout the course you test outputs for accuracy, bias and safety, including hallucinations and prompt injection, and weigh up cost and data privacy. The final project is a working GenAI prototype for a real use case, such as a question-answering assistant over a school's or company's policy documents, a bilingual content helper or a customer-feedback analyser.

How the course runs

Classes are held live on Google Meet from Monday to Friday evenings, in 75-minute sessions. Most sessions include a hands-on exercise, and the Python work uses shared Google Colab notebooks, so nothing has to be installed.

अधिगम परिणाम

पाठ्यक्रम के अंत तक आप ये कर सकेंगे:

Explain how large language models and diffusion image models generate content, and where they fall short
Apply structured prompting techniques, including few-shot examples, step-by-step instructions and JSON output
Work with long documents and knowledge sources using tools such as NotebookLM and Gems
Generate and edit images, audio and short video responsibly, respecting copyright and consent
Explain embeddings, semantic search and retrieval-augmented generation (RAG)
Write beginner Python in Google Colab to call an AI model API and process data in batches
Build a simple GenAI prototype with a web interface using Gradio or Streamlit
Evaluate outputs for hallucinations, bias, prompt injection, privacy and cost

पाठ्यक्रम विवरण

9 मॉड्यूल · लगभग 104 घंटे का लाइव प्रशिक्षण

मॉड्यूल 1How generative AI works 12 घंटे

Tokens, context windows, training versus inference, model families such as GPT, Gemini, Claude and Llama, open and closed models, and why models hallucinate.

मॉड्यूल 2Prompt engineering techniques 14 घंटे

Role, context and constraints; zero-shot and few-shot prompts; step-by-step instructions; structured output as tables and JSON; and comparing prompt versions side by side.

मॉड्यूल 3Working with documents and knowledge 10 घंटे

Summarising and comparing long PDFs, extracting data from documents, and grounding answers in your own sources with NotebookLM and Gems, with custom GPTs demonstrated (creating one needs a paid ChatGPT plan).

मॉड्यूल 4Image, audio and video generation 12 घंटे

How diffusion models create images, prompting and editing images, text-to-speech and voice tools, short AI video, and the copyright, consent and disclosure rules to follow.

मॉड्यूल 5Embeddings, semantic search and RAG 12 घंटे

What embeddings are, how semantic search matches meaning rather than keywords, and how retrieval-augmented generation combines search with a language model, shown with visual examples.

मॉड्यूल 6Python for GenAI in Google Colab 14 घंटे

Python basics from scratch, reading CSV and Excel files with pandas, calling an AI model API securely, and processing a batch of records such as customer reviews.

मॉड्यूल 7Building simple GenAI apps 12 घंटे

Turning a notebook into a small web app with Gradio or Streamlit: a chat assistant, a document question-answering tool and a bilingual content helper.

मॉड्यूल 8Evaluation, safety and responsible GenAI 10 घंटे

Testing accuracy and hallucinations with simple rubrics, bias checks, prompt injection and data leakage, cost and rate limits, and handling personal data responsibly in India.

मॉड्यूल 9Capstone GenAI prototype 8 घंटे

Design, build, evaluate and present a GenAI prototype for a real use case, with a short note on its limits and safeguards.

पात्रता

Minimum qualification: Class 12 / Higher Secondary pass (final-year students may apply)
Regular use of a computer and the internet; some experience with an AI chat assistant is helpful
No prior programming needed; Python is taught from the basics
A laptop or desktop computer with a stable internet connection and a Google account

कौन शामिल हो सकता है

Graduates and students who want a solid understanding of generative AI beyond everyday use.
Content, marketing, training and operations professionals who want to build their own AI helpers.
Teachers and trainers who want to understand, and explain, how generative AI works.
Aspiring developers and data analysts who want a practical first step into building with AI models.

मूल्यांकन एवं प्रमाणन

घटक	अधिकतम अंक	न्यूनतम आवश्यक
Concept quizzes	20	—
Prompt engineering lab assignments	25	—
Python and Colab notebook assignments	20	—
Capstone GenAI prototype and presentation	35	14
कुल	100	कुल मिलाकर 50%

न्यूनतम आवश्यक उपस्थिति: आयोजित सत्रों का 75%।
सफलतापूर्वक पूर्ण करने पर: समीक्षा और स्वीकृति के बाद Certificate in Generative AI Fundamentals और अंकतालिका।

Awarded by Appsgain Technologies on successful completion of the 4-month live online programme, including assessments; verifiable online with its certificate number or QR code.

बैच

वह बैच चुनें जिसकी तिथियाँ और कक्षा का समय आपके अनुकूल हो। सभी समय prashant में।

01 फ़र॰ 2027 से शुरू
खुला

बैच की तिथियाँ
01 फ़र॰ 2027 – 28 मई 2027

कक्षा का समय
Monday to Friday, 7:00 PM – 8:15 PM IST

सीटें
50 सीटें बाकी

आवेदन की अंतिम तिथि
25 जन॰ 2027 तक आवेदन करें

₹44,999 इस बैच के लिए आवेदन करें: 01 फ़र॰ 2027 से शुरू

प्रशिक्षण समय-सारणी

कक्षाओं की विस्तृत समय-सारणी बैच शुरू होने से पहले प्रकाशित की जाती है। नियमित समय: Monday to Friday, 7:00 PM – 8:15 PM IST।

कक्षा में शामिल होने के लिंक कभी नहीं दिखाए जाते। सत्यापित भुगतान वाले स्वीकृत आवेदक हर कक्षा के जॉइन बटन से शामिल होते हैं, जो कक्षा शुरू होने से कुछ समय पहले खुलता है।

ऑनलाइन कक्षाओं में शामिल होना

Join from a laptop or desktop with your Google account signed in, so you can open the shared Colab notebooks during class. Keep your API keys private and never paste them into the chat. Join with your registered name so attendance can be marked.

इस पाठ्यक्रम से जुड़े प्रश्न

अक्सर पूछे जाने वाले प्रश्न

इस पाठ्यक्रम से जुड़े सामान्य प्रश्नों के उत्तर।

How is this course different from AI Tools & Automation?

The Certificate in AI Tools & Automation is about using ready-made AI tools and automations to get office and business work done. Generative AI Fundamentals is about how the technology works and how to build with it: prompt engineering techniques, embeddings and RAG, beginner Python in Google Colab, calling AI models through APIs and building small GenAI prototypes.

Do I need to know Python or advanced mathematics?

No. Python is taught from the basics in a dedicated module, using Google Colab in the browser so nothing has to be installed. Ideas such as embeddings and diffusion are explained visually, without advanced mathematics. Comfort with computers and logical thinking is enough to begin.

Will I train my own AI model?

You will not train a large language model from scratch, as that needs computing resources far beyond a course like this. Instead you learn to use existing models well: grounding them in your own documents, calling them from Python and wrapping them in a simple app. Small examples show how training and fine-tuning work, so the ideas are clear.

Which tools are used, and are there any extra costs?

Classes use ChatGPT, Gemini, Claude, NotebookLM, Google Colab, Gradio or Streamlit, and image and voice generation tools. Free plans, free tiers and trial credits are used wherever possible, and the trainer shows how to stay within free API limits. Any paid subscription or API usage beyond free limits is optional and not part of the course fee.

When are the classes, and what if I miss one?

Classes run from Monday to Friday, 7:00 PM to 8:15 PM IST, live on Google Meet, for 4 months (about 104 hours). Batch dates and the last date to apply are shown on this page. You need at least 75% attendance for the certificate; if you miss a class, catch up using the notebooks and learning materials shared for that module on your application status page. Classes are taught in English, with Hindi support where needed.

What is the fee, and what certificate do I get?

The total fee shown on this page is for the full 4-month programme, covering all live sessions, assessments and the certificate. After you apply, you can pay using the options listed on the Fees page; refunds, if any, follow our Refund and Cancellation Policy. On meeting the attendance and assessment requirements, and after approval, you receive the Certificate in Generative AI Fundamentals and a marksheet from Appsgain Technologies, verifiable online with the certificate number or QR code. It is a course completion certificate, not a university degree or guarantee of a job.

कुल कार्यक्रम शुल्क

प्रवेश खुले हैं

₹44,999

Total course fee for the full 4-month programme (inclusive of all live sessions, assessments and certificate).