Complete EdX Learning Path 2024
2024-11-25
Complete EdX Learning Path 2024
Welcome to the comprehensive 2024 learning path from Pragmatic AI Labs on edX. This carefully curated collection of courses will take you from foundational concepts to advanced implementations across cloud computing, AI, and MLOps.
🌟 Azure (2 courses)
🔐 AWS (1 course)
☁️ Cloud Computing (2 courses)
💻 Computer Science (27 courses)
- Introduction to Generative AI
- Rust Fundamentals
- Generative AI and LLMs on AWS
- Rust Data Engineering
- Data Engineering with Databricks
- Open Source LLMOps
- Rust for Machine Learning Operations (LLMOps)
- Applied Local Large Language Models
- Azure AI Fundamentals
- Python Fundamentals for MLOps
- DevOps, DataOps, MLOps
- Introduction to LLM Vulnerabilities
- Beginning Llamafile
- MLOps Platforms: Amazon SageMarker and Azure ML
- MLOps Tools: MLflow and Hugging Face
- Python and Rust with Linux Command Line Tools
- Rust for DevOps
- Rust GUI Development for Linux
- Applied GitHub Platform
- Authoritative GCP
- Interactive Python Standard Library
- GitHub Enterprise
- LLM Server
- Rust-Powered AWS Serverless
- Radical Ideas AI Ethics
- Advanced RAG
📢 Communication (1 course)
📊 Data Engineering (6 courses)
- Python and Pandas for Data Engineering
- Scripting with Python and SQL for Data Engineering
- Virtualization, Docker, and Kubernetes for Data Engineering
- Linux and Bash for Data Engineering
- Cloud Data Engineering
- Web Applications and Command Line Tools for Data Engineering
🤖 Machine Learning (1 course)
🗣️ Natural Language Processing (1 course)
🧠 Artificial Intelligence (2 courses)
This learning path is designed for everyone, from beginners to experienced professionals. Each course builds upon previous knowledge while providing practical, hands-on experience. The curriculum emphasizes both theoretical understanding and practical implementation, ensuring you're well-prepared for real-world challenges in AI, cloud computing, and software development.