Ultimate AWS AI Practitioner Certification Guide 2024
Focused View
3:02:55
1 - Introduction.mp4
08:36
2 - Sign your coaching contract.mp4
07:34
3 - 11 Explain basic AI concepts and terminologies.mp4
15:04
4 - Study Notes 11 Explain basic AI concepts and terminologies.html
4 - Study-notes-1.1-Explain-basic-AI-concepts-and-terminologies.pdf
5 - 12 Identify practical use cases for AI.mp4
10:47
6 - Study Notes 12 Identify practical use cases for AI.html
6 - Study-notes-1.2-Identify-practical-use-cases-for-AI.pdf
7 - 13 Describe the ML development lifecycle.mp4
22:46
8 - Study Notes 13 Describe the ML development lifecycle.html
8 - Study-notes-1.3-Describe-the-ML-development-lifecycle.pdf
9 - 21 Explain the basic concepts of generative AI.mp4
23:32
10 - Study Notes 21 Explain the basic concepts of generative AI.html
10 - Study-notes-2.1-Explain-the-basic-concepts-of-generative-AI.pdf
11 - 22 Capabilities and limitations of generative AI for solving business problems.mp4
07:04
12 - Study Notes 22 Capabilities limitations of genAI for solving business problem.html
12 - Study-notes-2.2-Understand-the-capabilities-and-limitations-of-generative-AI-for-solving-business-problems.pdf
13 - 23 Describe AWS infrastructure and technologies for building generative AI apps.mp4
06:14
14 - Study Notes 23 Describe AWS infra and technologies for building genAI apps.html
14 - Study-notes-2.3-Describe-AWS-infrastructure-and-technologies-for-building-generative-AI-applications.pdf
15 - 31 Design considerations for applications that use foundation models.mp4
19:28
16 - Study Notes 31 Design considerations for apps that use foundation models.html
16 - Study-notes-3.1-Describe-design-considerations-for-applications-that-use-foundation-models.pdf
17 - 32 Choose effective prompt engineering techniques.mp4
14:59
18 - 33 Describe the training and fine tuning process for foundation models.mp4
11:51
19 - Study Notes 32 Choose effective prompt engineering techniques.html
19 - Study-notes-3.2-Choose-effective-prompt-engineering-techniques.pdf
20 - Study Notes 34 Describe methods to evaluate foundation model performance.html
20 - Study-notes-3.4-Describe-methods-to-evaluate-foundation-model-performance.pdf
21 - Study Notes 33 Describe training and finetuning process for foundation models.html
21 - Study-notes-3.3-Describe-the-training-and-fine-tuning-process-for-foundation-models.pdf
22 - 34 Describe methods to evaluate foundation model performance.mp4
04:35
23 - 41 Explain the development of AI systems that are responsible.mp4
08:04
24 - Study Notes 41 Explain the development of AI systems that are responsible.html
24 - Study-notes-4.1-Explain-the-development-of-AI-systems-that-are-responsible.pdf
25 - 42 Recognize the importance of transparent and explainable models.mp4
08:06
26 - Study Notes 42 Recognize the importance of transparent and explainable models.html
26 - Study-notes-4.2-Recognize-the-importance-of-transparent-and-explainable-models.pdf
27 - 51 Explain methods to secure AI systems.mp4
07:01
28 - Study Notes 51 Explain methods to secure AI systems.html
28 - Study-notes-5.1-Explain-methods-to-secure-AI-systems.pdf
29 - 52 Recognize governance and compliance regulations for AI systems.mp4
04:20
30 - Study Notes 52 Recognize governance and compliance regulations for AI systems.html
30 - Study-notes-5.2-Recognize-governance-and-compliance-regulations-for-AI-systems.pdf
31 - Important AWS Services.html
31 - Important-AWS-Services.pdf
32 - AWS-Fundamentals-Services.pdf
32 - Refresh your AWS Skills.html
33 - AWS-Certified-AI-Practitioner-Exam-Guide.pdf
33 - Conclusion.mp4
02:54
More details
Course Overview
This comprehensive course prepares you for the AWS Certified AI Practitioner (AIF-C01) exam, covering AI/ML fundamentals, generative AI, foundation models, responsible AI practices, and AWS-specific implementations.
What You'll Learn
- Core AI/ML concepts and development lifecycle
- Generative AI capabilities and AWS implementation
- Prompt engineering and foundation model evaluation
Who This Is For
- AWS AI Practitioner Certification aspirants
- Developers transitioning to AI/ML roles
- Cloud professionals expanding AI skills
Key Benefits
- Concised study notes and exam strategies
- AWS-specific AI service implementation guidance
- Responsible AI and security best practices
Curriculum Highlights
- Fundamentals of AI and ML
- Generative AI concepts with AWS technologies
- Foundation model applications and evaluation
Focused display
Category
- language english
- Training sessions 17
- duration 3:02:55
- Release Date 2025/06/07
