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AI Learning and AWS Certification

Learn AI clearly. Prepare for AWS confidently.

Build practical knowledge through full AI tutorials and quick Shorts, then follow a structured path toward the AWS Certified AI Practitioner exam.

Choose Your Goal

One learning library. Two guided paths.

Start with the path that matches your goal. Both paths share the same clear, practical lessons.

For AI Learners

Learn AI Fundamentals

Understand AI, machine learning, deep learning, GenAI, LLMs, RAG, agents, and modern AI concepts without needing certification experience.

Beginners | Professionals | Developers | Testers
Start Learning AI
For Certification Candidates

Prepare for AWS AI Practitioner

Connect every AI concept to AWS services, exam domains, responsible AI, security, and certification-focused preparation.

Exam roadmap | AWS services | Practice focus
View AWS Path
36full tutorials and AI Shorts available now
11core modules from the updated roadmap
80planned lessons including bonus series

Course Standard

Every lesson follows a clean exam-focused format.

HookConceptExampleAWS service mappingAWS exam cornerKey takeaways

Shared Learning Library

AI concepts that build real understanding and AWS readiness

Follow the chapters in order for a complete journey, or select topics based on your AI learning or certification goal.

Open AI Learning Library
Module 1Episodes 1-6

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
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Module 2Episodes 7-11

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
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Module 3Episodes 12-15

Modern AI and Deep Learning

Move from sequence memory to modern architecture patterns with RNN, LSTM, Transformers, and NLP foundations.

RNNLSTMTransformersNLP
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Module 4Episodes 16-23

NLP and LLM Foundations

Understand tokenization, context windows, embeddings, vector search, semantic search, attention, foundation models, and LLMs.

TokenizationContext windowEmbeddingsVector searchSemantic searchLLMs
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Module 5Episodes 24-30

Generative AI Fundamentals

Cover prompt engineering, hallucinations, model behavior, practical GenAI patterns, and AWS AI Practitioner relevance.

Prompt engineeringHallucinationsGenAI conceptsExam focus
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Module 6Episodes 31-36

RAG and Enterprise AI

Learn retrieval augmented generation and how organizations use private data, search, embeddings, and governance.

RAGEnterprise dataKnowledge basesGovernance
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Module 7Episodes 37-42

AI Agents

Explain how agents plan, call tools, use memory, and complete tasks with practical business and AWS examples.

Agent basicsToolsMemoryPlanningAWS Bedrock agents
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Module 8Episodes 43-54

AWS AI Services

Map AI concepts to AWS services such as Amazon Bedrock, SageMaker, Q, Comprehend, Rekognition, Textract, Transcribe, Polly, and Lex.

BedrockSageMakerAmazon QRekognitionTextractPolly
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Module 9Episodes 55-59

Real-World GenAI Projects

Turn the theory into small projects learners can understand, demo, and connect to workplace use cases.

ChatbotsDocument Q&ASearchAutomationDemos
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Module 10Episodes 60-64

AI for Software Testing

Connect AI with QA automation, Playwright, testing strategy, and practical software testing workflows.

AI testingPlaywrightQA automationTest design
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Module 11Episodes 65-69

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
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Live, On-Demand Training

Build automation, cloud, and AI skills with a plan made for you.

Request personalized 1:1 or private team training in Selenium, Cypress, Playwright, Cucumber, Java, Python, CI/CD, Git, AWS, and AI.

Explore AI Training

Video Learning Library

Watch the latest lesson, then explore at your pace

Video players load only when you press Play, keeping the site fast on desktop and mobile.

Open YouTube Channel

AWS & AI Series

26 in-depth AWS, Amazon Bedrock, AI Practitioner, and generative AI tutorials

ServiceNow Series

1 beginner-friendly ServiceNow platform lesson

Latest Shorts

19 quick lessons on AI, prompt engineering, RAG, and quality engineering

Two Guided Roadmaps

Learn by topic or prepare by exam objective

Choose the roadmap that matches your current goal. You can switch paths at any time.

AI Learning Roadmap

Build knowledge from foundations to applied AI

01AI, ML, Deep Learning and Generative AI
02Responsible AI, Ethics and Bias
03Neural Networks, CNN, RNN and LSTM
04NLP, Transformers and Tokenization
05Embeddings, Vector Search and LLMs
06Prompt Engineering, RAG and AI Agents
AWS Certification Roadmap

Prepare around AWS AI Practitioner exam objectives

01Fundamentals of AI and Machine Learning
02Fundamentals of Generative AI
03Applications of Foundation Models
04Responsible AI Guidelines
05Security, Compliance and Governance
06AWS AI Services and Exam Preparation

Contact

Connect with Mahendra Akula

For AWS AI Practitioner tutorials, Knowledge Bytes updates, collaborations, or learner questions.

Name
Mahendra Akula
Primary Email
contact@knowledgebytes.info
Gmail
knowledgebytes2026@gmail.com
US Phone (WhatsApp)
+1 6098744195
India Phone (WhatsApp)
+91 9030055337