| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| Bonus Resources.txt | 102.4 B | ||
| Introduction | |||
| 001. Course Introduction.en.srt | 1.2 KB | ||
| 001. Course Introduction.mp4 | 25.7 MB | ||
| Lesson 1 Generative AI Chat vs AI Agents | |||
| 002. 11 Intro to Generative AI.en.srt | 7.1 KB | ||
| 002. 11 Intro to Generative AI.mp4 | 133.1 MB | ||
| 003. 12 Deep Neural Networks and probabilistic output.en.srt | 6.3 KB | ||
| 003. 12 Deep Neural Networks and probabilistic output.mp4 | 118 MB | ||
| 004. 13 AI Agents and how they differ from chatbots.en.srt | 2.6 KB | ||
| 004. 13 AI Agents and how they differ from chatbots.mp4 | 51.6 MB | ||
| 005. 14 MCP and A2A Protocols.en.srt | 2.6 KB | ||
| 005. 14 MCP and A2A Protocols.mp4 | 56.2 MB | ||
| 006. 15 The Scaling Laws.en.srt | 4 KB | ||
| 006. 15 The Scaling Laws.mp4 | 77.5 MB | ||
| 007. 16 LLM chatbots and probabilistic output.en.srt | 5.3 KB | ||
| 007. 16 LLM chatbots and probabilistic output.mp4 | 109.2 MB | ||
| 008. 17 Examples of AI Agents and M365 out of box Agents.en.srt | 5.3 KB | ||
| 008. 17 Examples of AI Agents and M365 out of box Agents.mp4 | 99.6 MB | ||
| 009. 18 AI Agent environments and capabilities.en.srt | 5.5 KB | ||
| 009. 18 AI Agent environments and capabilities.mp4 | 105.4 MB | ||
| 010. 19 Simulating an AI Agent environment with Generative AI (M365 Copilot).en.srt | 6.3 KB | ||
| 010. 19 Simulating an AI Agent environment with Generative AI (M365 Copilot).mp4 | 143.7 MB | ||
| 011. 110 Demo M365 AI Agents Researcher.en.srt | 2.2 KB | ||
| 011. 110 Demo M365 AI Agents Researcher.mp4 | 52.9 MB | ||
| 012. 111 Demo M365 AI Agents Analyst.en.srt | 1.8 KB | ||
| 012. 111 Demo M365 AI Agents Analyst.mp4 | 41.4 MB | ||
| Lesson 2 Delegating Actions to AI | |||
| 013. 21 Factors to evaluate when permitting AI to perform tasks.en.srt | 10.6 KB | ||
| 013. 21 Factors to evaluate when permitting AI to perform tasks.mp4 | 196 MB | ||
| 014. 22 Implicit considerations in human communication.en.srt | 6.7 KB | ||
| 014. 22 Implicit considerations in human communication.mp4 | 132.7 MB | ||
| 015. 23 Assessing the quality of AI deliverables.en.srt | 5.6 KB | ||
| 015. 23 Assessing the quality of AI deliverables.mp4 | 108.2 MB | ||
| 016. 24 Using iteration and feedback to improve AI results.en.srt | 2.7 KB | ||
| 016. 24 Using iteration and feedback to improve AI results.mp4 | 62.3 MB | ||
| 017. 25 Existential challenges _ determining human value when AI does the work.en.srt | 5.6 KB | ||
| 017. 25 Existential challenges _ determining human value when AI does the work.mp4 | 110.3 MB | ||
| 018. 26 Adopting a manager mindset.en.srt | 6.6 KB | ||
| 018. 26 Adopting a manager mindset.mp4 | 127.8 MB | ||
| 019. 27 Demo M365 Copilot simulation of a team scheduling Agent.en.srt | 2.7 KB | ||
| 019. 27 Demo M365 Copilot simulation of a team scheduling Agent.mp4 | 55.7 MB | ||
| Lesson 3 Hybrid Teams (Humans and AI Agents) | |||
| 020. 31 Introducing hybrid teams (humans and AI Agents).en.srt | 3 KB | ||
| 020. 31 Introducing hybrid teams (humans and AI Agents).mp4 | 63.2 MB | ||
| 021. 32 Best practices for operating in hybrid teams (humans and AI Agents).en.srt | 5.5 KB | ||
| 021. 32 Best practices for operating in hybrid teams (humans and AI Agents).mp4 | 104.3 MB | ||
| 022. 33 Considerations when assigning AI long-running tasks (research, code refactoring).en.srt | 2.5 KB | ||
| 022. 33 Considerations when assigning AI long-running tasks (research, code refactoring).mp4 | 45.4 MB | ||
| 023. 34 Human in the loop Deciding when and how AI needs to check in with you.en.srt | 8.2 KB | ||
| 023. 34 Human in the loop Deciding when and how AI needs to check in with you.mp4 | 154 MB | ||
| 024. 35 Function vs Task design.en.srt | 5.7 KB | ||
| 024. 35 Function vs Task design.mp4 | 113.1 MB |
Partnering with AI Agents for Business Success
https://WebToolTip.com
Released 4/2026
By Peter Dempsey
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 1h 14m | Size: 2.23 GB
Learn how to partner with AI agents to delegate work, boost productivity, and thrive in hybrid humanAI teams.
AI is no longer just a tool that answers questionsits becoming an active participant in how work gets done. AI agents can now take action on your behalf: researching, organizing, scheduling, and executing tasks across enterprise systems. To succeed in this new environment, professionals must learn how to work with AI agents, not just use them.
In this course, people and technology leader Peter Dempsey introduces the fundamentals of AI agents in a practical, non-technical way. Youll explore how AI agents differ from traditional chatbots, how enterprise agents operate inside platforms like Microsoft 365, and what it means to manage work in teams made up of both humans and AI. Through real-world examples and nstrations, youll learn how to communicate goals clearly, delegate effectively, and evaluate AI-generated outcomes.
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