AWS AI Practitioner Complete Course
Chapter-wise AI learning for certification and real-world confidence.
A practical Knowledge Bytes tutorial hub for AI foundations, deep learning, generative AI, AWS AI services, AI agents, software testing, and AWS AI Practitioner exam preparation.
Course Standard
Every lesson follows a clean exam-focused format.
HookConceptExampleAWS service mappingAWS exam cornerKey takeaways
Chapter Details
AWS AI Practitioner Tutorial Roadmap
Organized from foundations to exam preparation, based on the Knowledge Bytes June 2026 roadmap.
AI Foundations
Start with AI, machine learning, deep learning, GenAI, the AI lifecycle, learning types, responsible AI, ethics, and classification.
AI vs ML vs DL vs GenAIAI lifecycleML typesResponsible AIAI ethicsClassification
Deep Learning Foundations
Build intuition for neural networks by learning perceptrons, weights, biases, activation functions, training, inference, and CNNs.
PerceptronWeights and biasesActivation functionsTraining vs inferenceCNN
Modern AI and Deep Learning
Move from sequence memory to modern architecture patterns with RNN, LSTM, Transformers, and NLP foundations.
RNNLSTMTransformersNLP
NLP and LLM Foundations
Understand tokenization, context windows, embeddings, vector search, semantic search, attention, foundation models, and LLMs.
TokenizationContext windowEmbeddingsVector searchSemantic searchLLMs
Generative AI Fundamentals
Cover prompt engineering, hallucinations, model behavior, practical GenAI patterns, and AWS AI Practitioner relevance.
Prompt engineeringHallucinationsGenAI conceptsExam focus
RAG and Enterprise AI
Learn retrieval augmented generation and how organizations use private data, search, embeddings, and governance.
RAGEnterprise dataKnowledge basesGovernance
AI Agents
Explain how agents plan, call tools, use memory, and complete tasks with practical business and AWS examples.
Agent basicsToolsMemoryPlanningAWS Bedrock agents
AWS AI Services
Map AI concepts to AWS services such as Amazon Bedrock, SageMaker, Q, Comprehend, Rekognition, Textract, Transcribe, Polly, and Lex.
BedrockSageMakerAmazon QRekognitionTextractPolly
Real-World GenAI Projects
Turn the theory into small projects learners can understand, demo, and connect to workplace use cases.
ChatbotsDocument Q&ASearchAutomationDemos
AI for Software Testing
Connect AI with QA automation, Playwright, testing strategy, and practical software testing workflows.
AI testingPlaywrightQA automationTest design
AWS AI Practitioner Exam Prep
Close the course with exam objectives, practice questions, topic review, and AWS AI Practitioner preparation strategy.
Exam domainsPractice questionsReviewStudy plan
Video Library
Knowledge Bytes Episodes
Watch the current AWS AI Practitioner lessons directly from the Knowledge Bytes YouTube playlist.
Episode 1
AI vs ML vs Deep Learning vs GenAI
The foundation episode that explains the differences learners must know before studying AWS AI services.
Watch on YouTubeEpisode 2
Complete AI Lifecycle Explained
A practical walkthrough of how AI works from data to model usage.
Watch on YouTubeEpisode 3
Supervised vs Unsupervised vs Reinforcement Learning
The three major machine learning styles explained with simple examples.
Watch on YouTubeEpisode 4
Responsible AI Explained
Can we trust AI? A learner-friendly introduction to responsible AI.
Watch on YouTubeEpisode 5
AI Ethics, Bias and Explainability
Fairness, bias, explainability, and the human side of trustworthy AI.
Watch on YouTubeEpisode 6
Neural Networks Explained
A quick bridge into deep learning and how neural networks process information.
Watch on YouTubeEpisode 8
Weights and Biases Explained
How neural networks learn by adjusting the numbers behind predictions.
Watch on YouTubeEpisode 9
Activation Functions Explained
Sigmoid, tanh, and ReLU explained in plain language.
Watch on YouTubeEpisode 10
Training vs Inference Explained
How AI learns during training and predicts during inference.
Watch on YouTubeEpisode 11
CNN Explained
How AI recognizes images using convolutional neural networks.
Watch on YouTubeEpisode 12
RNN Explained
How AI remembers information using recurrent neural networks.
Watch on YouTubeEpisode 13
LSTM Explained
How LSTM helps AI remember important long-range information.
Watch on YouTubeEpisode 14
Transformers Explained
The AI breakthrough that changed modern language models.
Watch on YouTubeEpisode 18
Vector Search Explained
Vector search, similarity search, and vector databases explained.
Watch on YouTubeEpisode 19
What Happens After You Press Enter in ChatGPT?
A practical look at the journey from prompt to response.
Watch on YouTubeEpisode 21
Prompt Engineering Explained
Six powerful prompting techniques for AWS AI Practitioner learners.
Watch on YouTubeNext Roadmap
Upcoming Knowledge Bytes topics
After the completed AI and deep learning foundation episodes, the channel continues into modern GenAI and AWS services.
13LSTM Explained
14Transformers Explained
15NLP Explained
16Tokenization Explained
17Tokens and Context Window
18Embeddings Explained
19Vector Search Explained
20Semantic Search
21Attention Mechanism
22Foundation Models
23LLMs
24Prompt Engineering
25RAG
26Hallucinations
27Amazon Bedrock
28AI Agents
29AI in Software Testing
30AWS AI Exam Preparation
Contact
Connect with Mahendra
For AWS AI Practitioner tutorials, Knowledge Bytes updates, collaborations, or learner questions.
- Name
- Mahendra
- Primary Email
- contact@knowledgebytes.info
- US Phone
- +1 6098744195
- India Phone
- +91 9030055337