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Generative AI and AI Application Development
Science And Technology

Generative AI and AI Application Development

This course introduces students to the fundamentals of Generative Artificial Intelligence (AI) and the practical development of AI-powered applications. It covers key concepts such as Large Language Models (LLMs), prompt engineering, AI tools, chatbots, and AI application integration. Students will gain hands-on experience in designing intelligent applications, automating tasks, and developing innovative solutions to real-world problems using modern AI technologies. The course emphasizes practical learning, creativity, problem-solving, and responsible AI practices, preparing students with the essential skills required to explore emerging career opportunities in the rapidly evolving field of Artificial Intelligence.
Course ModeOnline
Duration2 Weeks
Starts05 Jan 2027
Ends16 Jan 2027
Course Fee
₹1,000 /-
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About The Course

Overview

This workshop provides CSE students with a practical introduction to generative AI and the development of a small AI-enabled application. Students will learn responsible prompting, understand API-based integration concepts, and build a guided prototype such as a college FAQ chatbot.

Learning Goals

Course Outcomes

Upon successful completion of the Generative AI & AI Application Development course offered under Sage Winter School, students will gain a fundamental understanding of Generative Artificial Intelligence, Large Language Models (LLMs), and modern AI tools. They will be able to apply prompt engineering techniques to generate effective AI outputs, develop basic AI-powered applications and chatbots, and implement AI concepts through hands-on projects to solve real-world problems. Furthermore, students will enhance their creativity, critical thinking, and problem-solving abilities while learning to use AI technologies responsibly and explore emerging opportunities in AI-driven innovation and application development. 

Curriculum

Course / Modules

Day 1: Introduction to Generative AI: AI vs. Machine Learning vs. Generative AI, LLM overview, use cases, limitations, hallucinations, and responsible use.

Day 2: Prompt Engineering Fundamentals: Instruction clarity, context, examples, structured outputs, iterative refinement, and evaluating prompt results.

Day 3: Advanced Prompt Practice: Role/task prompting, multi-step prompts, summarization and extraction tasks, and testing prompt quality.

Day 4: AI APIs and Application Architecture: Client/server flow, API requests and responses, JSON basics, credentials and secret handling, and error-handling concepts.

Day 5: Designing an AI-Powered Feature: Plan inputs and outputs, connect an interface to an approved AI service or demo environment, and validate responses.

Day 6: Working with Knowledge Sources: Organize approved source information, prepare FAQs, ground responses in supplied content, and handle unclear questions.

Day 7: Build a College FAQ Chatbot: Create a guided chatbot prototype, connect sample FAQs, and test common student questions.

Day 8: Interface and Conversation Improvements: Improve the user flow, refine prompts, handle empty or ambiguous inputs, and present responses clearly.

Day 9: Testing, Privacy and Responsible AI: Test edge cases, discuss privacy and safe use, validate outputs, review limitations, and improve the prototype.

Day 10: Project Demonstration and Review: Present the AI application, review architecture and code, collect feedback, and discuss future learning pathways.

Learn From Experts

Our Trainers

Mr. Shiladitya Raj
Mr. Shiladitya Raj
Mr. Shiladitya Raj is a Technology Entrepreneur, Software Developer, and IT Trainer with 17 years of experience in software development, Java, Python,...
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Frequently Asked Questions

Students interested in Artificial Intelligence, technology, innovation, and application development can enroll. No advanced AI knowledge is required.