Pragmatic AI Labs
Courses
- Advanced Prompting with GitHub Copilot
- Capstone: Building Production Features with Copilot
- GitHub Copilot for System-Level Development
- Responsible AI Development with GitHub Copilot
- Build with AI: Data Pipelines and Stream Processing with Deno
- Agentic AI and Autonomous Development
- Windsurf for Privacy-Conscious Development
- Multimodal Programming Interfaces
- Build with AI: Developing a Discord Bot Conversationally
- Exploring Deterministic LLM Programming
- Debug Your Code with AI
- Build with AI: Create Deterministic MCP Agents
- Build with AI: Creating a SaaS MVP in One Day
- Build with AI: Developing a Code Review Assistant
- Natural Language Processing (NLP) on Amazon Bedrock
- 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
- Advanced LLMs with Retrieval Augmented Generation (RAG): Practical Projects for AI Applications
- 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