About the Course

Join our AI Agents course to become a GenAI Application Engineer. Gain hands-on experience in building secure AI systems that automate workflows using private documents. This course is designed for Developers, Data Scientists, Team Leads, and Project Managers with intermediate to advanced skills.

Build Secure AI Agents

Learn to build secure AI-powered agents and create custom chatbots and workflows.

Implement Semantic Search + RAG

Explore how to implement semantic search and RAG to enhance your AI applications.

Use LangChain, Bedrock, Serverless Models

Discover how to utilize LangChain, Bedrock, and serverless models to architect secure and scalable AI applications.

Master LangChain & Amazon Bedrock for powerful apps

Leverage Bedrock’s managed LLMs and LangChain’s modular pipelines to launch production-ready AI features in days, not months.

Design and deploy Secure Cloud-Native AI solutions

Use zero-trust patterns, Infrastructure-as-Code, and serverless tooling to deliver scalable, compliant AI services across any cloud.

Integrate Vector Databases for efficient data retrieval

Store high-dimensional embeddings in Pinecone or Bedrock Titan to enable millisecond semantic search over your private data.

Curriculum

5 Chapters · 5 Lessons

  1. 1

    Introduction to AI Agents

    1. (Included in full purchase)

      Introduction to Private Data Management

  2. 2

    Prompt Engineering Techniques

    1. (Included in full purchase)

      Hands-On Prompt Engineering Lab

  3. 3

    AI Agent Development

    1. (Included in full purchase)

      Lab: Developing a Secure Chatbot

  4. 4

    Semantic Search and RAG Implementation

    1. (Included in full purchase)

      Lab: Semantic Search in Action

  5. 5

    Cloud-Based AI Architecture

    1. (Included in full purchase)

      Lab: Serverless LLM Agents on AWS

About the Creator

Mark is an experienced, hands-on software architect, practicing and teaching AI, Machine Learning, Security, Blockchain, Spark, Hadoop, NoSQL, and more. He worked in a variety of verticals (Hightech, Healthcare, O&G, Legal, Fintech). His classes are hands-on and draw heavily on his industry experience. Mark is certified in Google Cloud (GCP), Amazon (AWS), and Hadoop. Mark is an author and maintainer for a popular open-source project for lawyers and researchers, FreeEed, which deals with search and massive scalability.

Ready to Transform Your Skills?

Enroll now and start building secure, intelligent AI systems that automate workflows using private data.

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