Machine Learning Fundamentals
Courses
- Build with AI: Create a Context-Aware Multi-Agent System Using LLMs + MCP
- Build with AI: SQL Agents with Large Language Models
- Exploring Deterministic LLM Programming
- Local AI: Build a RAG Model from Scratch with Open-Source Tools
- Hands-On Introduction to PyTorch for Machine Learning
- Developing with gpt-oss Models
- Mastering Reasoning Models: Algorithms, Optimization, and Applications
- Build with AI: LLM-Powered Data Analysis App with Python and Streamlit
- Build Local AI Agents with Gemma and Ollama
- Build with AI: LLM-Powered Applications with Streamlit
- Hands-On AI: Building Your First LLM-Powered App
- Spatial Machine Learning and Statistics in Python
- Complete Guide to Google BigQuery for Data and ML Engineers
- The OWASP Top 10 for Large Language Model (LLM) Applications: An Overview
- Applied Machine Learning: Value Estimation
- Applied Machine Learning: Supervised Learning
- Oracle Cloud Infrastructure AI Foundations (2025)
- Machine Learning in Telecommunication: From Basics to Real-World Cases
- Power BI: Integrating AI
- Complete Guide to Evaluating Large Language Models (LLMs)
- Structuring Language Model Interactions with APIs and DSPy
- Advanced Gemini for Developers
- Google Gemini for Developers
- Azure AI for Developers: Content Safety and Responsible AI