FULL Package | (CPMAI)™ Videos and Practice Tests |
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Description
Here's What Will Be Covered In This Package:
• (PMI-CPMAI)™ Preparation Course (+90 Videos + PDF Files).
• Earn 40 PDU/Contact Hours Certificate.
• Seven Exams By chapters.
• SIX Full Mock Exams.
• Our Exams are covering all Real exam ideas and help you to pass the Exam on your First try!
- Each question is supported by answer explanations which will allow you to understand the reasoning behind the correct answer choice.
• (PMI-CPMAI)™ Exam Tips and tricks.
• Very Important keywords.
• Videos explaining how to write a (PMI-CPMAI)™ application with samples.
• A WhatsApp Study group to follow up on the trainees and respond to all questions related to the Exam. You will receive a WhatsApp group link on the e-mail after subscribing to the course.
It's time to get you ready for the exam, let's get you fully prepared to pass the (PMI-CPMAI)™ exam on your first try !!
What You Learn
Everything you must know to pass the (PMI-CPMAI)™
Requirements
• There are not any requirements for this course.
• If you are serious about PASSING the CPMAI exam, you should buy this course.
Who This Course Is For
Anyone seeking to obtain the PMI-CPMAI Certification on the first attempt!
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Course Content:
38 Hr 44 Min | 95 Lectures-
Introduction
2 Lecture | 0 hr 44 min
- Exam Details 20 min
- MODULE 0: Introduction to PMI-CPMAI 23 min
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Module 1: The Need for AI Project Management
11 Lecture | 3 hr 46 min
- Module 01: Introduction 04 min
- Why AI Now ? 51 min
- The Seven Patterns of AI 33 min
- Why AI Projects Fail ? 20 min
- Fears and Concerns of Trustworthy AI 19 min
- The Layers of Trustworthy AI 38 min
- Iterative and Agile Approaches for AI 11 min
- Cognitive Project Management in AI 16 min
- Summary 03 min
- MindMap Module 01 08 min
- Questions 18 min
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Module 2: Matching AI with Business Needs
13 Lecture | 6 hr 43 min
- Introduction 05 min
- Determine problem you are solving 50 min
- Evaluate AI feasibility 34 min
- Map business problems to AI patterns 29 min
- Determine AI go/no-go 40 min
- Determine AI project ROI and success metrics 50 min
- Scope and schedule AI projects 43 min
- Determine needs for AI project team 16 min
- Determine project-specific AI risks 43 min
- Case Studies 41 min
- Summary 02 min
- Mind Map Module 02 20 min
- Questions 22 min
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Module 3: Identifying Data Needs for AI Projects
13 Lecture | 5 hr 41 min
- Introduction 04 min
- The role of data in AI 43 min
- Determining the data quality and quantity requirements for AI 31 min
- Determining data sets for AI projects 22 min
- Sample Answers for AI Data Management Tasks 06 min
- Understanding data privacy, compliance, and access requirements 40 min
- Coordinating data infrastructure and access needs 19 min
- Analytics and key data roles 21 min
- Learning how all this maps to CPMAI Phase II 20 min
- Case Studies 32 min
- Summary 04 min
- Mind Map Module 03 12 min
- Questions 21 min
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Module 4: Managing Data Preparation Needs
16 Lecture | 6 hr 47 min
- Introduction 06 min
- Data preparation for AI projects 10 min
- Data pipeline Part 01 58 min
- Data pipeline Part 02 32 min
- Data pipeline Part 03 41 min
- Data quality check and verification 35 min
- Data transformation and synthetic data 46 min
- Data augmentation and labeling for AI 22 min
- Data management for generative AI systems 24 min
- Trustworthy AI in data preparation 44 min
- How it all maps to CPMAI Phase III 11 min
- Case studies 24 min
- Go or No-Go 08 min
- Summary 03 min
- Mind Map Module 04 13 min
- Questions 22 min
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Module 5: Iterating Development and Delivery
12 Lecture | 5 hr 20 min
- Introduction 04 min
- Machine Learning and Models Part 01 01 min
- Machine Learning and Models Part 02 37 min
- Model Development 49 min
- Model Validation 47 min
- Building Generative AI Systems Part 01 43 min
- Building Generative AI Systems Part 02 17 min
- Case studies 17 min
- Go:No-Go 10 min
- Summary 02 min
- MindMap Module 05 13 min
- Questions 14 min
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Module 6: Testing and Evaluating AI Systems
12 Lecture | 3 hr 55 min
- Introduction 08 min
- Model evaluation 29 min
- Model iteration 23 min
- Model performance, data & model drift 22 min
- Evaluating models against business and technology KPIs 26 min
- AI system monitoring and management 27 min
- Explainable and interpretable AI systems 30 min
- Mapping to CPMAI phase V 21 min
- Case studies 11 min
- Summary 02 min
- MindMap Module 06 11 min
- Questions 21 min
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Module 7: Operationalizing AI
16 Lecture | 5 hr 45 min
- introduction 04 min
- Moving AI models into operation 16 min
- AI platforms and infrastructure 20 min
- Ways to interact with AI models 01 47 min
- Ways to interact with AI models 02 23 min
- Operationalizing generative AI 16 min
- Model life cycle management 30 min
- AI and model governance 19 min
- Trustworthy AI considerations in operation 01 56 min
- Trustworthy AI considerations in operation 02 43 min
- Limits of AI 12 min
- Moving to the next iteration after cpmai vi 10 min
- Case Studies 12 min
- Summary 03 min
- MindMap Module 07 08 min
- Questions 20 min
Course Content:
1215 Questions-
Knowledge Area
405 Questions
- Module 1: The Need for AI Project Management 56 Questions
- Module 2: Matching AI with Business Needs 64 Questions
- Module 3: Identifying Data Needs for AI Projects 60 Questions
- Module 4: Managing Data Preparation Needs 61 Questions
- Module 5: Iterating Development and Delivery 51 Questions
- Module 6: Testing and Evaluating AI Systems 53 Questions
- Module 7: Operationalizing AI 60 Questions
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Domain
405 Questions
- Support Responsible and Trustworthy AI Efforts 18 Questions
- Identify Business Needs and Solutions 109 Questions
- Identify Data Needs 111 Questions
- Manage AI Model Development and Evaluation 108 Questions
- Operationalize AI Solution 59 Questions
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Exams
405 Questions
- PMI-CPMAI Exam 01 116 Questions
- PMI-CPMAI Exam 02 80 Questions
- PMI-CPMAI Exam 03 46 Questions
- PMI-CPMAI Exam 04 47 Questions
- PMI-CPMAI Exam 05 47 Questions
- PMI-CPMAI Exam 06 48 Questions
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Introduction
2 Lecture | 0 hr 44 min
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Student Feedback
4.7Course Rate
200 USD
400 USD
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