Introduction to Artificial Intelligence
Foundations of Artificial Intelligence
Machine Learning of Artificial Intelligence
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Introduction to Machine Learning AI (3:43)
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Supervised Learning (6:14)
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Unsupervised Learning (6:20)
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Clustering (9:27)
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Distance Measures (5:00)
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Dimensionality Reduction (13:47)
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Association Rule Learning (11:49)
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Reinforcement Learning (11:04)
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Types of Reinforcement Learning Part 1 (13:15)
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Types of Reinforcement Learning Part 2 (14:42)
Deep Learning
AWS Certified AI Practitioner
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Introduction to AWS Certified AI Practitioner (2:24)
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Understanding AI and ML (3:15)
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Natural Language Processing (NLP) (1:21)
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Computer Vison (CV) (1:30)
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Applications of AI in Various Industries (1:33)
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Supervised vs Unsupervised Machine Learning (1:15)
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Algorithms of Supervised and Unsupervised Machine Learning (1:37)
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Reinforcement Learning (RL) (1:20)
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Principal Component Analysis (PCA) (0:31)
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Basic Questions (9:02)
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Introduction to AWS AI Services (0:24)
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Amazon SageMaker (4:14)
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Aws DeepLens (3:20)
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Amazon Comprehend (3:25)
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Case Studies (1:40)
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Intermediate Questions (15:14)
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Implementing AI Solutions with AWS (4:26)
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Woring with Amazon SageMaker (5:49)
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Using AWS Lex (1:41)
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Using AWS Polly (1:11)
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AWS Rekognition (1:16)
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Combining AWS Services (2:01)
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Understanding Foundation Models (1:20)
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Model Selection and Architecture (1:18)
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Data Preperation and Preprocessing (1:19)
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Model Training and Optimization (1:08)
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Model Evaluation and Deployment (1:28)
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Summary (0:29)
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Ethical Considerations and Best Practices in AI-ML (3:17)
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Introduction to Prompt Engineering (5:41)
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Continuous Improvement (0:24)
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Exam Overview (3:35)
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Advanced Questions (17:03)
