There are no items in your cart
Add More
Add More
Item Details | Price |
---|
Learners Enrolled : 1
Created by Haroon Syed
English
Generative AI Engineering Mastery (8 Weeks)
Gain hands-on skills in Generative AI, RAG, Agents, and Observability.
This 8-week program is designed for engineers and tech professionals eager to build real-world GenAI applications.
What You’ll Learn
Foundation: LLMs, embeddings, vector databases, RAG, and agents
Prompt Engineering: Best practices, advanced prompting, and debugging
Embeddings & Vector Search: Semantic search with FAISS, Pinecone, Chroma, and more
RAG Applications: Build and scale RAG pipelines using LangChain, Bedrock, LangFlow, and Phi Data
Agentic AI: Create and orchestrate autonomous agents with LangChain, CrewAI, and LangFlow
Observability: Monitor and evaluate GenAI apps with LangSmith, LangFuse, and LangWatch
Capstone Project: Deploy a complete GenAI solution in your chosen domain
Weekly Bonus Sessions
LangServe Integration
Model Communication Protocols (MCP) & Agent-to-Agent (A2A) Best Practices
About the Trainer
Haroon Syed
A seasoned AI engineer with hands-on experience at Apple, Cisco, and Nordstrom, Haroon brings deep expertise in building and scaling enterprise AI solutions.
Become a GenAI engineer ready to deliver impactful solutions—plus, enjoy two bonus sessions every week to stay ahead in this fast-moving field!
Learn live with top educators, chat with teachers and other attendees, and get your doubts cleared.
Our curriculum is designed by experts to make sure you get the best learning experience.
Interact and network with like-minded folks from various backgrounds in exclusive chat groups.
Stuck on something? Discuss it with your peers and the instructors in the inbuilt chat groups.
With the quizzes and live tests practice what you learned, and track your class performance.
Flaunt your skills with course certificates. You can showcase the certificates on LinkedIn with a click.
Gen AI training has been very helpful, as the trainer makes the curriculum flow in a very sequential manner making concepts come in easily. Also giving ample resources and directions to move forward wherever he feels in depth information needed. - Priyanka , Lead Data Engineer