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Courses

  • Build with AI: Data Pipelines and Stream Processing with Deno
  • Agentic AI and Autonomous Development
  • Build with AI: Developing a Discord Bot Conversationally
  • Build with AI: Create Deterministic MCP Agents
  • Microsoft Azure Data Scientist Associate (DP-100) Cert Prep
  • AWS Certified Security - Specialty (SCS-C02) Cert Prep
  • Google Cloud Professional Data Engineer Cert Prep (2025)
  • AWS Certified Advanced Networking - Specialty (ANS-C01) Cert Prep (2025)
  • Natural Language Processing (NLP) on Amazon Bedrock
  • Databricks Certified Data Engineer Associate Cert Prep (2025)
  • Google Cloud Professional Machine Learning Engineer Cert Prep
  • Advanced AI Analytics on AWS: Amazon Bedrock, Q, SageMaker Data Wrangler, and QuickSight
  • AI Engineering Use Cases and Projects on AWS: Production-Grade LLM Systems
  • Responsible AI on AWS: Bedrock Guardrails, Amazon Q Security, and SageMaker Clarify
  • Building AI Applications with Amazon Bedrock
  • AI Orchestration: Designing the Prototype Architecture and Data Strategy
  • Enterprise AI Solutions with AWS: Amazon Q Business, Bedrock Knowledge Bases, and SageMaker MLOps
  • AWS AI Automation Foundations: Command Line Interface (CLI) with Amazon Q in AWS CloudShell
  • Building Generative AI with AWS: Amazon Q Developer, Bedrock Inference, and SageMaker Canvas
  • Large Language Models on AWS: Building and Deploying Open-Source LLMs
  • Best Practices for Integrating GitHub Models
  • Vector, Graph, and DynamoDB
  • Responsible Generative AI and Local LLMs
  • Rust LLMOps
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