Designing Agentic AI Products (No Code Required)
1h 4mIntermediate2024-10-24
Authors
Sudha Jamthe
CEO of IoT Disruptions, Advisor, Author, and Instructor
Course details
Agentic AI automates AI workflows using the reasoning power of large language models. Are you ready to go past chatbots to get agents to work for you? In this course, Sudha Jamthe takes you through the foundational knowledge of agentic AI and teaches you how to design an autonomous AI solution to automate your marketing or enterprise business workflow with no-code agentic platforms and tools.
Skills covered
Artificial Intelligence for DesignProduct and Industrial DesignVideoPhotographyGraphic DesignProduct and ManufacturingAnimation and IllustrationDeep Dive (X:Y)
Concepts
0. Introduction
- 01 - Designing autonomous agentic products
1. Introduction to Agentic AI
- 02 - What is an autonomous Agent AI
- 03 - Why do we need Agent AI
- 04 - How does Agent AI work
- 05 - Types of Agent AI
2. Agent AI Tools Landscape and Applications
- 06 - Agent AI ecosystem
- 07 - Lead generation marketing applications
- 08 - Campaign management marketing applications
- 09 - Enterprise growth applications
- 10 - Enterprise customer experience applications
3. Building Agentic AI Products with No-Code
- 11 - What is reasoning in LLM
- 12 - Agent AI reasoning approaches
- 13 - Building an Agent AI with AgentGPT for user research
- 14 - Challenge - Build an Agent AI for user research
- 15 - Solution - Build an Agent AI for user research
4. Designing Human Computer Interface (HCI) for Agent AI Products
- 16 - Job roles in designing agentic products
- 17 - Agentic design frameworks
- 18 - Design an Agent AI to create a marketing plan with Promptly
- 19 - Challenge - Building an Agent AI with Promptly
- 20 - Solution - Building an Agent AI with Promptly
5. Top Business Questions around Agentic AI
- 21 - The cost of agentic AI applications
- 22 - AI hallucinations and agents
- 23 - AI ethics - Ecological consideration
- 24 - AI ethics - Business risks
- 25 - AI ethics - Bringing human ethics to AI
- 26 - AI ethics - Data privacy
Conclusion
- 27 - Next steps
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