This course prepares learners for the AWS Certified AI Practitioner certification while building a strong foundation in artificial intelligence, machine learning, and generative AI on AWS. Designed for professionals working with AI-enabled applications and cloud technologies, the course explains key AI concepts, common use cases, and best practices for implementing AI solutions responsibly.
Learners will explore how AI and ML systems work, how generative AI models are applied in real-world scenarios, and how AWS services support the development and deployment of AI-powered applications. The course also focuses on selecting the right AWS tools for different workloads and understanding responsible AI principles such as fairness, transparency, and governance.
By the end of the course, learners will have the knowledge required to prepare for the AWS Certified AI Practitioner exam, along with a clear understanding of how AI services are used in modern cloud environments.
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7 vidéos1 devoir
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7 vidéos•Total 44 minutes
Introduction to Artificial Intelligence•0 minutes
Taxonomy of AI•13 minutes
Traditional vs AI Methods for Solving Problems•6 minutes
AI Real-world Applications•4 minutes
Business View for AI•3 minutes
Basic Concepts and Terminologies•8 minutes
Machine Learning Lifecycle•8 minutes
1 devoir•Total 30 minutes
Learning Check Quiz•30 minutes
The ML Development Lifecycle
Module 2•1 heure à terminer
Détails du module
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4 vidéos1 devoir
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4 vidéos•Total 22 minutes
Intro - The ML Development Lifecycle•0 minutes
Sources of ML Models•8 minutes
Deploying ML Models•6 minutes
ML Operations (MLOps) Core Concepts•8 minutes
1 devoir•Total 30 minutes
Learning Check Quiz•30 minutes
Machine Learning
Module 3•2 heures à terminer
Détails du module
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14 vidéos1 devoir
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14 vidéos•Total 118 minutes
Machine Learning Categories•10 minutes
Data types•9 minutes
Regression•5 minutes
Regression - Model Evaluation•8 minutes
Classification•4 minutes
Classification - Model Evaluation•24 minutes
Decision Trees•11 minutes
K-means Clustering•3 minutes
Deep Learning•20 minutes
Natural Language Processing (NLP)•5 minutes
Computer Vision (CV)•4 minutes
Convolutional Neural Network (CNN)•5 minutes
Recurrent Neural Network•4 minutes
AI Use Cases•5 minutes
1 devoir•Total 30 minutes
Learning Check Quiz•30 minutes
ML Models Evaluation and Deployment
Module 4•1 heure à terminer
Détails du module
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6 vidéos1 devoir
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6 vidéos•Total 35 minutes
Intro - ML Models Evaluation and Deployment•0 minutes
Validation Techniques•4 minutes
Overfitting/Underfitting•3 minutes
Preventing Overfitting•4 minutes
Batch Transform•2 minutes
Real-time Inference•21 minutes
1 devoir•Total 30 minutes
Learning Check Quiz•30 minutes
Introduction to Generative AI (GenAI)
Module 5•1 heure à terminer
Détails du module
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9 vidéos1 devoir
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9 vidéos•Total 53 minutes
Intro - Generative AI (Gen AI)•10 minutes
Deep Dive Into Gen AI•9 minutes
GenAI Use Cases•5 minutes
Multi-Modal Models•3 minutes
Transformers Architecture•6 minutes
Advantages of GenAI in Business•2 minutes
Disadvantages of GenAI in Business•9 minutes
Selecting Appropriate GenAI Models•4 minutes
Business Metrics for GenAI Models•5 minutes
1 devoir•Total 30 minutes
Learning Check Quiz•30 minutes
Foundation Models and Applications
Module 6•2 heures à terminer
Détails du module
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17 vidéos•Total 104 minutes
Intro - Foundation Models and Applications•0 minutes
Foundation Model Lifecycle•8 minutes
Selection Criteria for Pre-trained Models•2 minutes
Tweaking Inference Parameters•9 minutes
[HOL] Tweaking Inference Parameters•5 minutes
Embeddings and Vector Databases•12 minutes
Retrieval Augmented Generation (RAG)•8 minutes
RAG Use Cases•5 minutes
RAG in Amazon Bedrock•3 minutes
[HOL] Amazon Bedrock Knowledge Bases•7 minutes
Optimizing Foundation Models•14 minutes
Choosing the Right Approach: Fine-tuning vs RAG•8 minutes
Fine-tuning a Foundation Model (Deep Dive)•8 minutes
Data Preparation for Fine-tuning•4 minutes
Evaluating a Foundation Model•3 minutes
Foundation Model Performance Metrics•4 minutes
Business Objectives for Foundation Models•3 minutes
1 devoir•Total 30 minutes
Learning Check Quiz•30 minutes
Prompt Engineering
Module 7•1 heure à terminer
Détails du module
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7 vidéos1 devoir
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7 vidéos•Total 32 minutes
Intro - Prompt Engineering•0 minutes
What is Prompt Engineering?•7 minutes
Prompt Engineering Use Cases•4 minutes
Concepts and Constructs of Prompt Engineering•4 minutes
Prompt Engineering Techniques•5 minutes
Prompt Engineering Best Practices•5 minutes
Risk and Limitations•6 minutes
1 devoir•Total 30 minutes
Learning Check Quiz•30 minutes
AWS GenAI Services and Infrastructure
Module 8•1 heure à terminer
Détails du module
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7 vidéos1 devoir
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7 vidéos•Total 39 minutes
Intro - GenAI Services and Infrastructure•0 minutes
AWS Services For GenAI•11 minutes
Choosing Foundation Models and AWS GenAI Service•9 minutes
Why AWS Services for GenAI?•4 minutes
EC2 for GenAI•8 minutes
Why AWS Infrastructure For GenAI•4 minutes
Cost Tradeoffs of AWS GenAI Services•3 minutes
1 devoir•Total 30 minutes
Learning Check Quiz•30 minutes
AWS Managed AI Services
Module 9•3 heures à terminer
Détails du module
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25 vidéos1 devoir
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Neal Davis, founder of Digital Cloud Training, is a successful IT instructor and cloud computing expert with > 25 years of industry experience. Neal creates AWS training that helps learners build practical skills and advance their careers. Trusted by over 1,000,000 learners worldwide, Neal’s training materials are a go-to resource for anyone pursuing AWS certifications and career growth.
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When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.