Pragmatic AI Labs Courses

Build a Production SaaS Application with AI

1 rating

Build and launch an AI-assisted SaaS product: a FastAPI service with pytest tests, Docker containerization and CI, plus pricing tiers, API key auth, and a GitHub Pages site.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Career Certificate

Enterprise AI and Data Engineering with Databricks

19 ratings at Coursera

Build lakehouse pipelines on Databricks: Spark and Delta Lake, medallion architecture, Unity Catalog, Delta Live Tables, MLflow tracking, LLM fine-tuning with RAG, and MLOps governance.

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

Databricks Lakehouse Fundamentals

12 ratings at Coursera

Build data pipelines on the Databricks Lakehouse Platform: configure compute, transform DataFrames with PySpark and SQL, create Delta Lake tables, and orchestrate scheduled Databricks Jobs.

• Coursera
• 4 hours 53 minutes
• Self-Paced
• Paid Course

Career Certificate

Rust for Data Engineering

12 ratings at Coursera

Build production data systems in Rust: ETL pipelines, SQL and NoSQL stores, Polars jobs, serverless handlers, CLI and TUI tools, containers, and CI/CD on GCP.

• Coursera
• 24 weeks, 4 hours a week
• Self-Paced
• Paid Course
• 31 courses

Career Certificate

Mastering GitHub

6 ratings at Coursera

Go from repositories and pull requests to Codespaces, Actions, Packages, SAML SSO and least-privilege permissions, Copilot prompt engineering, and autonomous AI agent workflows.

• Coursera
• 40 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 9 courses

Advanced Fine-Tuning in Rust

Fine-tune 7-billion-parameter models on a laptop GPU with QLoRA: trace transformer internals, configure LoRA rank, build AST-extracted corpora, and publish datasets to Hugging Face.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

Production ML with Hugging Face

Deploy ML models with a pure Rust stack: convert GGUF, SafeTensors and APR formats, sign models cryptographically, and benchmark Qwen2.5-Coder across GPU, WebAssembly and edge targets.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

Hugging Face Hub and Ecosystem Fundamentals

Discover and evaluate models on the Hugging Face Hub, read model cards and licenses, stream datasets, and build inference pipelines for text, image, and audio.

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

Large Language Models with Hugging Face

Build production LLM applications with Hugging Face: control text generation with sampling parameters, design chat-template prompts, assemble RAG pipelines with sentence-transformers, and create tool-using agents.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

Data Engineering with Delta Lake on Databricks

Build production ETL pipelines with Delta Live Tables on Databricks: declarative SQL and Python syntax, Auto Loader streaming ingestion, and bronze-silver-gold Medallion layers.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Generative AI and LLMs on Databricks

Build production GenAI systems on Databricks: apply chain-of-thought, ReAct and few-shot prompting, fuse vector search with BM25 via RRF, and govern models through Unity Catalog.

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

Machine Learning with Databricks and MLflow

Track, version, and deploy machine learning models on Databricks with MLflow: experiment tracking, Model Registry, Feature Store, and batch and real-time inference patterns.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Production Governance and MLOps on Databricks

Govern a Databricks lakehouse with Unity Catalog: set grants via the Python SDK and CLI, automate notebook deployment with GitHub Actions, and monitor data quality and drift.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Fine-Tuning Transformers with Hugging Face

Fine-tune transformer models with the Hugging Face Trainer API: stream datasets, configure mixed precision and callbacks, evaluate with F1, and publish a sentiment analysis model.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Agile With AI

Adapt agile to your team: trace waterfall to agile, apply five-whys root-cause analysis, manage work in Trello, and integrate AI pair programming, Bedrock RAG, and whisper.cpp.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course