Projects You Should Build For Gen AI And Agentic AI Roles
AI Summary
This video by Krishna introduces important project ideas for learners aiming to enter the generative AI field, especially for resume building and interview preparation. Krishna emphasizes the significance of projects involving Retrieval Augmented Generation (RAG) chatbots, which dominate use cases in companies, particularly for providing enhanced user experiences. He highlights the key components to display in RAG projects such as data parsing, text embedding techniques, use of vector databases with an emphasis on categorization, and memory management. The video also stresses the rising importance of agentic AI applications where multiple AI agents collaborate to automate complex workflows, citing examples like automating software development lifecycle tasks. Krishna underlines the necessity of understanding MCP servers for building agentic AI and suggests gaining knowledge about debugging, monitoring, and deployment in generative AI workflows, including tools like Langraph Studio and MLflow for tracking and evaluation. Overall, the video guides aspiring generative AI engineers on foundational and advanced project skills critical for job success in the field.