Pragmatic AI Labs Courses

AI Orchestration: From local models to cloud

Master AI orchestration across local and cloud environments—build prompt engineering pipelines, deploy models with Ollama and llamafile, optimize GPU inference in Rust, and design cost-effective workflows using AWS Spot instances.

• Coursera
• 5 hours
• Self-Paced
• Paid Course

AI Security and Governance on AWS

Master AI security on AWS by implementing Bedrock guardrails, CloudTrail auditing, IAM authentication, and responsible AI governance with SageMaker Clarify for bias detection.

• Coursera
• 5 hours
• Self-Paced
• Paid Course

AI Tooling Capstone: Serverless Multi-Model Systems

Explore building a production serverless multi-model AI system on AWS, integrating Amazon Bedrock and Ollama, using Rust and Cargo Lambda for scalable LLM orchestration and deployment.

• Coursera
• 4 hours
• Self-Paced
• Paid Course

AI-Powered Data Pipelines with Deno

Master building AI-powered data pipelines with Deno, covering task automation, git quality gates, standalone binary compilation, and dependency vendoring for production-ready, reproducible workflows.

• Coursera
• 3 hours
• Self-Paced
• Paid Course

AWS Generative AI and Foundation Models

Master building generative AI solutions on AWS using Amazon Bedrock, RAG pipelines, Amazon Q Developer, and open-source LLMs, while evaluating trade-offs between managed services and no-code platforms.

• Coursera
• 6 hours
• Self-Paced
• Paid Course

AWS Intelligent Applications with Amazon Bedrock

Master building intelligent applications with Amazon Bedrock—explore foundation models, implement APIs in Bash and Rust, create knowledge bases, and construct autonomous agents with RAG capabilities.

• Coursera
• 5 hours
• Self-Paced
• Paid Course

Build a Production SaaS Application with AI

Master building a complete SaaS app with AI tools—covering FastAPI development, Docker containerization, CI pipelines, landing pages, pricing tiers, API authentication, and deployment from MVP to production launch.

• Coursera
• 5 hours
• Self-Paced
• Paid Course

Conversational Bot Architecture with Rust and Deno

Master conversational bot development using Rust and Deno, covering Cargo workspaces, Tokio async runtime, Amazon Bedrock LLM integration, and Discord deployment for multi-platform bot systems.

• Coursera
• 4 hours
• Self-Paced
• Paid Course

Large Language Models with Hugging Face

Master LLM deployment, prompt engineering, RAG implementation, and agentic systems using Hugging Face ecosystem for real-world AI applications.

• Coursera
• 7 hours 1 minute
• Self-Paced
• Paid Course

GitHub: AI-Augmented Testing and Refactoring

Master AI-augmented workflows using GitHub Copilot for test-driven development, system-wide refactoring, and infrastructure-as-code generation with Ansible, Docker, and Terraform.

• Coursera
• 3 hours 22 minutes
• Self-Paced
• Paid Course

AI-Powered Analytics and Performance Engineering

Master building AI-powered analytics pipelines on AWS using Amazon Bedrock, Lambda benchmarking, and Amazon Q for BI, including Rust integration, cost optimization, and natural language SQL queries.

• Coursera
• 3 hours 32 minutes
• Self-Paced
• Paid Course

Agentic AI: Actor Models and Subagent Architecture

Master agentic AI systems using actor model principles, subagent architecture, and multi-language implementations in Rust, Go, and Deno for fault-tolerant, production-ready AI solutions.

• Coursera
• 4 hours 6 minutes
• Self-Paced
• Paid Course

Building deterministic MCP Agents

Master building deterministic AI agents using MCP, PMAT quality metrics, finite state machines, and property-based testing for verifiable, repeatable outputs across real-world codebases.

• Coursera
• 3 hours 40 minutes
• Self-Paced
• Paid Course

CLI Automation with Amazon Q and CloudShell

Master CLI automation using Amazon Q and CloudShell to deploy containers to ECR, build CDK infrastructure, and develop Rust apps with AI-powered assistance in AWS workflows.

• Coursera
• 3 hours 6 minutes
• Self-Paced
• Paid Course

Deterministic LLM programming

Master deterministic LLM programming with AWS Bedrock, RAG pipelines, local inference via llama.cpp, and quality evaluation for production-grade AI systems.

• Coursera
• 5 hours 11 minutes
• Self-Paced
• Paid Course