Generative AI Internship Program
Embark on an exciting journey into the world of Generative AI with our comprehensive 8-session internship program, designed to equip you with cutting-edge skills and knowledge.
Launch Your Career in Generative AI
From foundational concepts to hands-on projects, our 8-session internship program offers a comprehensive introduction to Generative AI. Whether you're a curious beginner or looking to pivot your career, our expert-led sessions and practical exercises will provide you with the skills and knowledge needed to thrive in this rapidly evolving field. Join us to explore LLMs, embeddings, vector databases, and build your own AI-powered applications.
8-Session Internship Program for Beginners in Generative AI
Our comprehensive program is designed to introduce you to the world of Generative AI, from basic concepts to hands-on application development
Session 1: Introduction to AI
Comprehensive introduction to AI, its branches, and focus on Generative AI. Includes interactive Q&A and environment setup.
Session 2: Generative AI Deep Dive
Understanding Generative AI and learning to invoke a Large Language Model (LLM). Includes hands-on text generation with an LLM.
Session 3: LLM Configuration
Learn the basics of configuring LLMs and best practices. Experiment with different configurations and observe output changes.
Session 4: Function Calling
Understand how to integrate external functions with LLMs. Write, integrate, and test a simple external function with an LLM.
Session 5: Embeddings
Learn about embeddings and perform a similarity search. Generate embeddings for text and conduct practical similarity searches.
Session 6: Vector Databases
Understand vector databases and build a recommendation engine. Set up a vector database and create a simple recommendation system.
Session 7: Streamlit Basics
Learn the basics of Streamlit and build a simple app. Add interactive elements to your Streamlit application.
Session 8: Conversational AI
Understand conversational AI fundamentals and build a chatbot. Integrate LLM, embeddings, and a vector database in a Streamlit-based GenAI app.
Session 9: AI Project Deployment
Learn how to deploy and scale AI projects. Cover cloud deployment options, API creation, and best practices for maintaining and updating AI models in production environments.
Frequently Asked Questions
Common questions about our Generative AI Internship Program
