WBF Academy
AI 101

AI 101

Beginner

Build a solid foundation in Artificial Intelligence — from core concepts and machine learning to deep learning, NLP, and responsible AI practices.

📋 5 tracks ❓ 250 questions 💡 20 tips 🎬 10 videos ⏱ ~30h
▶ Start watching

Course content

What is AI & Machine Learning? 2:33

What is AI & Machine Learning?

⏱ 2:33

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Embeddings & Semantic Search 3:16

Embeddings & Semantic Search

⏱ 3:16

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🧠

Practice questions

0/50 answered

Start
How Neural Networks Work 3:34

How Neural Networks Work

⏱ 3:34

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RAG — Retrieval-Augmented Generation 3:31

RAG — Retrieval-Augmented Generation

⏱ 3:31

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🧠

Practice questions

0/50 answered

Start
Large Language Models Explained 3:39

Large Language Models Explained

⏱ 3:39

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On-Device AI with CoreML 3:37

On-Device AI with CoreML

⏱ 3:37

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🧠

Practice questions

0/50 answered

Start
Prompt Engineering 101 3:19

Prompt Engineering 101

⏱ 3:19

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Fine-Tuning vs Prompt Engineering 3:39

Fine-Tuning vs Prompt Engineering

⏱ 3:39

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🧠

Practice questions

0/50 answered

Start
Using LLM APIs 3:27

Using LLM APIs

⏱ 3:27

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Build Your First AI Feature 3:38

Build Your First AI Feature

⏱ 3:38

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Practice questions

0/50 answered

Start

Certification Exam

✦
🏆

Certification Exam

AI 101

❓ 40
Questions
⏱ 90m
Time Limit
% 75%
To Pass

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❓ Answer 80% of the practice questions 0% / 80%

Complete the requirements above to unlock the exam

🏆

Certification Exam

AI 101

#

40 Questions

All difficulty levels

⏱

90 Minutes

Auto-submits when time expires

%

75% to Pass

Earn your certification badge

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No Going Back

Once you answer, you move forward

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Tips

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Ethics Beginner

Responsible AI Checklist Before Deploying a Model

Don't ship until you've answered these questions
Ethics Intermediate

Differential Privacy in 5 Minutes

Add calibrated noise to protect individuals in your dataset
Ethics Intermediate

AI Bias: Identifying and Mitigating It in Your Pipeline

Fairness doesn't happen by accident
NLP Intermediate

Hallucination in LLMs: What It Is and How to Reduce It

When confident AI is confidently wrong