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
• 4 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
• 3 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
• 5 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
• 4 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
• 4 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

Career Certificate

Rust for Data Engineering

Master production-grade data engineering in Rust, building ETL pipelines, serverless functions, SQL/NoSQL systems, and GCP deployments through hands-on, project-driven courses with real workloads.

• Coursera
• Self-Paced
• Paid Course
• 31 courses

Advanced Fine-Tuning in Rust

Master memory-efficient fine-tuning of 7B parameter models on consumer hardware using QLoRA, transformers, and rigorous scientific validation methods in Rust.

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

Production ML with Hugging Face

Master production ML deployment using the Sovereign Rust Stack with zero Python dependencies across GPU, CPU, WebAssembly, and edge targets through hands-on projects.

• Coursera
• 5 hours 27 minutes
• Self-Paced
• Paid Course

Hugging Face Hub and Ecosystem Fundamentals

Discover how to navigate the Hugging Face ecosystem to find, evaluate, and deploy pre-trained ML models for text, image, and audio tasks across 500,000+ options without training from scratch.

• Coursera
• 2 hours 13 minutes
• Self-Paced
• Paid Course

Career Certificate

Next-Gen AI Development with Hugging Face

Master building, deploying, and scaling AI applications using Hugging Face's ecosystem through hands-on projects that run locally without cloud costs.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 4 courses

Fine-Tuning Transformers with Hugging Face

Master transformer fine-tuning with Hugging Face ecosystem, from data preprocessing to model deployment, building production-ready sentiment analysis systems.

• Coursera
• 7 hours 52 minutes
• 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