Generative AI and Large Language Models is a comprehensive course designed to introduce learners to the rapidly evolving field of Artificial Intelligence with a focus on Generative AI technologies and Large Language Models (LLMs). The course explores how modern AI systems understand, generate, and process human language, enabling applications such as intelligent chatbots, content generation, code assistance, translation, summarization, and decision support systems. Students will gain both theoretical knowledge and practical experience in working with state-of-the-art AI models, learning how to design effective prompts, integrate AI into software applications, and understand the ethical considerations associated with AI deployment.
Course Contents
- Introduction to Artificial Intelligence and Generative AI
- Evolution of Large Language Models (LLMs)
- Transformer Architecture and Model Fundamentals
- Prompt Engineering Techniques
- Text Generation and Content Creation
- Conversational AI and Chatbot Development
- Text Summarization and Language Translation
- AI-Assisted Programming and Code Generation
- Fine-Tuning and Customization of Language Models
- Retrieval-Augmented Generation (RAG)
- AI Agents and Workflow Automation
- Responsible AI, Ethics, and Bias Mitigation
- Model Evaluation and Performance Optimization
- Integration of LLM APIs in Applications
- Real-World Applications and Industry Use Cases
- Future Trends and Innovations in Generative AI
Duration
7 Weeks
Available Sessions
Thursday, Friday, Saturday
Class Timings
10 AM – 1 PM
Seats Available
30
Learning Outcomes
Upon successful completion of this course, participants will be able to understand the core concepts of Generative AI and Large Language Models, develop effective prompts for various AI tasks, build AI-powered applications, evaluate model performance, and apply responsible AI practices while solving real-world problems using modern AI technologies.