AI & Machine LearningIntermediateFREE

AI Tools & Ecosystem

Navigate the full landscape of AI tooling — from the core Python libraries (scikit-learn, TensorFlow, PyTorch) to cloud AI platforms, MLOps practices, and the modern open-source ecosystem (Hugging Face, LangChain, vector databases). Build the technical fluency to pick the right tool for every AI project.

8 hours

15 lessons

Certificate included

Instructor

JP Instructor

Already have an account? Sign in

This course includes:

8 hours of comprehensive lessons
Hands-on coding exercises and challenges
Code examples with syntax highlighting
Certificate of completion
Lifetime access to all content
Mobile-friendly, works offline

Course Curriculum

Module 1: The Python AI Stack

The libraries every AI practitioner must know.

4 lessons

NumPy and Pandas for AI

Preview

14 minutes

Preview Lesson

Scikit-learn — the ML Workhorse

Preview

14 minutes

Preview Lesson

TensorFlow and Keras

14 minutes

PyTorch

14 minutes

Module 2: Cloud AI Platforms

Build and deploy AI at scale with managed cloud services.

3 lessons

AWS AI Services

12 minutes

Google Cloud AI

12 minutes

Azure AI

12 minutes

Module 3: MLOps — Taking Models to Production

The engineering practices that turn a notebook experiment into a reliable production system.

3 lessons

Experiment Tracking with MLflow

14 minutes

Model Serving and Deployment

14 minutes

Monitoring and Data Drift

12 minutes

Module 4: The Modern Open-Source Ecosystem

The tools that define how AI is built in 2025.

5 lessons

Hugging Face Hub

14 minutes

LangChain and LlamaIndex

14 minutes

Vector Databases

12 minutes

Working Effectively with AI Assistants

15 minutes

Prompt Engineering Best Practices

18 minutes

Ready to Start Learning?

Join thousands of students mastering AI & Machine Learning with HardCoded