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Introduction

Welcome to APMP AI Micro-Certification

Getting ready

Part 1: Introduction to AI in proposal management

Overview

1. The role of AI in modern proposal management

Part 1: Practice quiz 1

Part 1: Practice quiz 2

Part 1: Practice quiz 3

2. What A is and what it isn’t

Part 1: Practice quiz 4

Part 1: Practice quiz 5

Part 1: Practice quiz 6

3. How AI supports different stages of the proposal lifecycle

Part 1: Practice quiz 7

Part 1: Practice quiz 8

Part 1: Practice quiz 9

4. Automation vs AI vs generative AI vs agentic AI

Part 1: Practice quiz 10

Part 1: Practice quiz 11

Part 1: Practice quiz 12

5. Responsible AI use in proposal management 

Part 1: Practice quiz 13

Part 1: Practice quiz 14

Part1: Practice quiz 15

6. Human-in-the-Loop (HITL)

Part 1: Practice quiz 16

Part 1: Practice quiz 17

Part 1: Practice quiz 18

7. Selecting AI tools for proposal teams

Part 1: Practice quiz 19

Part 1: Practice quiz 20

Part 1: Practice quiz 21

8. Large Language Models and prompt engineering

Part 1: Practice quiz 22

Part 1: Practice quiz 23

Part 1: Practice quiz 24

9. The future of AI in proposal management

Part1: Practice quiz 25

Part 1: Practice quiz 26

Part 1: Practice quiz 27

Part 2: Selecting the right AI tools

1. Why tool selection is critical in proposal management

Part 2: Practice quiz 1

Part 2: Practice quiz 2

Part 2: Practice quiz 3

2. The process

Part 2: Practice quiz 4

Part 2: Practice quiz 5

Part 2: Practice quiz 6

3. Compare tools across critical criteria

4. Build a business case and pilot before full rollout

Part 2: Practice quiz 7

5. Summary: Selecting the right AI tools

Part 2: Practice quiz 8

Part 2: Practice quiz 9

Part 2: Practice quiz 10

Part 3: Balancing AI innovation and security

1. Introduction

2. Learning objective

Part 3: Practice quiz 1

Part 3: Practice quiz 2

Part 3: Practice quiz 3

Part 3: Practice quiz 4

Part 3: Practice quiz 5

Part 4: The critical role of human oversight in AI-assisted proposal writing

1 Overview

2 The Human-in-the-Loop (HITL) model

3 Efficiency versus human expertise

4 Quality control for AI-generated content

Part 4: Practice quiz 1

Part 4: Practice quiz 2

Part 4: Practice quiz 3

4. AI risks in proposal writing

Part 4: Practice quiz 4

Part 4: Practice quiz 5

5. Striking the right balance: Integrating AI and human expertise

Part 4: Practice quiz 6

Part 5: Prompt engineering for AI-assisted proposal management

1. Overview

2. What is prompt engineering and its importance

Part 5: Practice quiz 1 

Part 5: Practice quiz 2

Part 5: Practice quiz 3

3. Techniques for crafting effective prompts

Part 5: Practice quiz 4

Part 5: Practice quiz 5

Part 5: Practice quiz 6

4. Examples and case studies of successful prompts

5. Prompt libraries for specific use cases

Part 5: Practice quiz 7 

Part 5: Practice quiz 8

Part 5: Practice quiz 9

6. Improving basic prompts

Part 5: Practice quiz 10

Part 5: Practice quiz 11

Part 5: Practice quiz 12

Part 6: AI advancements in proposal management

1. AI advancements in proposal management

2. The hype cycle for generative AI

3. Shift to AI-enabled bid and proposal managers

4. Emerging trends and technologies

5. Predictions and preparing for the future

6. AI in procurement

7. The rise of AI agents

8. Non-agentic AI limitations

9. AI tools for RFP management

$ (USD)

Ace the APMP AI Micro-Certification and modernize your proposal practice with a practical, exam-focused program. AI-Powered Proposal Management: APMP Micro-Certification Exam Prep equips bid and proposal professionals with the concepts, vocabulary, and hands-on techniques to use AI responsibly across the proposal lifecycle. You’ll master the differences between automation, AI, generative AI, and agentic AI; learn where AI accelerates capture, content development, and compliance; and understand where expert human judgment must remain in control. The course goes beyond theory with structured tool selection guidance, governance and security essentials, and high-impact prompt engineering tailored to proposal scenarios like executive summaries, win themes, and compliance matrices. You’ll also prepare for the future of AI-enabled proposal roles, building skills to thrive as requirements evolve toward evidence-based, points-scored submissions. Finally, put your knowledge to the test with multiple practice quizzes mapped to APMP-style questions and rationales so you can walk into the exam confident and ready to pass on your first attempt.

APMP AI Micro-Certification

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            <p>The landscape of competitive bidding is undergoing a fundamental shift as artificial intelligence moves from a futuristic concept to a core component of the proposal development lifecycle. This course provides a comprehensive roadmap for proposal professionals seeking to master the integration of AI into their daily workflows while preparing for the APMP AI Micro-Certification. Participants will explore the foundational definitions of AI, distinguishing it from basic automation, and learn to navigate the maturity spectrum from generative models to agentic systems. By understanding the specific value areas where AI enhances content generation and process efficiency, bid managers can better position themselves in an increasingly technology-driven market.</p>

<p>Beyond technical definitions, this training delves into the practicalities of tool selection, prompt engineering, and the essential balance between machine efficiency and human expertise. A significant focus is placed on the "Human-in-the-Loop" (HITL) model, ensuring that ethical standards, data security, and proprietary information remain protected against common compliance failures. Through detailed modules on crafting effective prompts and establishing robust quality control processes, learners will gain the skills necessary to produce persuasive, evidence-based proposals. The course concludes with a series of practice exams designed to mirror the APMP certification environment, ensuring candidates are fully equipped to demonstrate their proficiency in AI-powered proposal management.</p>
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