Generative AI Professional
Master generative AI tools, large language models, prompt engineering, AI applications, and intelligent workflow automation through practical projects.
This professional course introduces learners to generative artificial intelligence, large language models (LLMs), prompt engineering, AI-powered content creation, chatbots, and workflow automation. Students explore AI tools, APIs, retrieval-augmented generation (RAG), and responsible AI practices while developing practical solutions for business and technology applications. Hands-on assignments and projects help learners build job-relevant skills for emerging AI careers.
- Duration
- 3 Months
- Level
- Beginner
- Format
- Online
- Language
- English, Hindi
- Time commitment
- 6–8 hours per week
- Course code
- GENAI-PRO-101
Who this course is for
Students, graduates, software developers, business professionals, digital marketers, entrepreneurs, content creators, and IT professionals who want to use generative AI to improve productivity and develop AI-powered applications.
What you will learn
- Add one learning outcome per line.
- - Explain generative AI concepts and real-world applications.
- - Understand large language models and their capabilities.
- - Write effective prompts for different business tasks.
- - Generate and improve text, images, and other digital content.
- - Use popular generative AI tools for productivity.
- - Integrate AI models into applications using APIs.
- - Build AI-powered chatbots and virtual assistants.
- - Understand embeddings, vector databases, and semantic search.
- - Develop basic retrieval-augmented generation applications.
- - Automate workflows using generative AI tools.
- - Evaluate AI outputs for accuracy, bias, and reliability.
- - Apply responsible AI, privacy, and security practices.
Course curriculum
Module 1: Introduction to Generative AI Module 2: Generative AI Tools Module 3: Prompt Engineering Module 4: Large Language Models Module 5: Generative AI for Business Module 6: AI Application Development Module 7: Chatbots and Virtual Assistants Module 8: Retrieval-Augmented Generation (RAG) Module 9: AI Automation and Responsible AI Module 10: Capstone Project
Prerequisites
Basic computer and internet knowledge. No prior AI experience required. Basic programming knowledge is helpful for API and application development. A laptop or desktop with internet access. Access to selected AI tools; some services may require paid subscriptions or API credits.
Projects and practical work
Project 1: Create a prompt library for business productivity. Project 2: Develop an AI-powered content generation assistant. Project 3: Build a customer support chatbot. Project 4: Create a document summarization and question-answering tool. Project 5: Automate a business workflow using generative AI. Final Project: Develop a generative AI application using an LLM API, structured prompts, data integration, and output evaluation.
Certificate
Certificate of Course Completion Students who successfully complete the course modules, practical assignments, and capstone project will receive an institute-issued Generative AI Professional Course Completion Certificate.