AWS Certified
AI Practitioner (AIF-C01)

Learn in-demand knowledge of artificial intelligence (AI), machine learning (ML), and generative AI concepts and use cases.

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This Course Includes:
1 Year Access
14.5 Hours of Video
137 Lectures
36 Follow Alongs
62 Flashcards
1 Practice Exams
Individual Video Quizlets
Certificate of Completion
Course Outline
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Introduction
17m 40s
Meet Your Instructor
1m 4s
Lecture
Introduction
11m 3s
Lecture
Exam Guide Breakdown
5m 33s
Lecture
AI and ML Fundamentals
56m 27s
What is AI?
2m 40s
Lecture
AI vs GenAI
4m 17s
Lecture
Jupyter Notebooks
2m 29s
Lecture
What is NLP?
4m 6s
Lecture
Regression
1m 22s
Lecture
Classification
1m 15s
Lecture
Clustering
52s
Lecture
Types of Machine Learning
2m 41s
Lecture
Divisions of Machine Learning
2m 3s
Lecture
Classical Machine Learning
2m 19s
Lecture
Supervised vs Unsupervised Learning
1m 19s
Lecture
Supervised vs Unsupervised vs Reinforcement
1m 13s
Lecture
Supervised Learning Models
1m 14s
Lecture
Unsupervised Learning Models
1m 33s
Lecture
Neural Networks and Deep learning
3m 40s
Lecture
Introduction to Perceptrons
59s
Lecture
Basic Perceptron Network
2m 30s
Lecture
Activation Functions
3m 17s
Lecture
Linear Activation
46s
Lecture
Binary Step
42s
Lecture
Sigmoid Activation
1m 24s
Lecture
Tahn Activation
52s
Lecture
ReLU
1m 22s
Lecture
Leaky ReLU
52s
Lecture
ELU
45s
Lecture
Swish Activation
40s
Lecture
Maxout
26s
Lecture
SoftMax
47s
Lecture
What is an ML Model?
1m 51s
Lecture
What is an Algorithm?
1m 31s
Lecture
What is a Feature?
50s
Lecture
What is Inference?
42s
Lecture
What are Parameters and Hyperparameters?
1m 30s
Lecture
Responsible AI
1m 38s
Lecture