Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
1 Hour(s) 54 Minute(s)
Language
English
Taught by
Cory Holmes, MBA
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
Course Overview
Design, build, and deploy AI systems that resemble human teams using practical tools, templates, and real-world
Unlock the Future of Intelligent Automation - AI Agents
In this course, you'll learn how to build real-world Agentic AI Systems — a revolutionary approach where multiple AI agents collaborate like human teams. Whether you're a complete beginner or a seasoned developer, this course walks you through every step of designing, testing, and deploying agent-based AI solutions in a secure, scalable and responsible way.
Why Take This Course?
Agentic AI represents the next evolution of generative AI — moving from single-model responses to autonomous multi-agent collaboration. This course shows you how to architect systems that feature specialized agents, such as AI-powered marketing assistants or fraud-detecting financial bots, and deploy them using cloud platforms, RAG pipelines, and ethical guardrails.
What You'll Learn:
What AI Agents and Agentic Systems are — and why they matter
How to use AI agents to solve real-world problems for small businesses, higher education, and enterprises
How to define your business goals and design the right AI architecture
How to choose models (ChatGPT, Llama, Claude, etc.), preprocessing data, and building pipelines
Deployment strategies using Cloud Computing, Retrieval Augmented Generation (RAG), and process automation tools
Guardrails for AI safety, privacy, and ethical compliance
How to design intuitive UIs and build feedback loops for continuous improvement
What Makes This Course Different:
This course is rooted in real business challenges — not just theory. You’ll walk through a detailed case study where an AI system automates a full digital marketing department using a central AI Marketing Manager and specialist agents. You’ll also get access to my curated tools, cloud templates, budget breakdowns, and ethical deployment checklists.
Course Content
- 7 section(s)
- 25 lecture(s)
- Section 1 Overview
- Section 2 Intro to AI Agents
- Section 3 How AI Agents Can Solve Real Business Problems
- Section 4 Challenges To Adopting AI Agents
- Section 5 Designing, Testing, Deploying Agentic AI Systems
- Section 6 Case Study: Designing a Marketing Agentic AI System
- Section 7 Extras
What You’ll Learn
- What AI Agents and Agentic Systems are — and why they matter
- How to use AI agents to solve real-world problems for small businesses, higher education, and enterprises
- How to define your business goals and design the right AI architecture
- How to choose models (ChatGPT, Llama, Claude, etc.), preprocessing data, and building pipelines
- Deployment strategies using Cloud Computing, Retrieval Augmented Generation (RAG), and process automation tools
- Guardrails for AI safety, privacy, and ethical compliance
- How to design intuitive UIs and build feedback loops for continuous improvement
Skills covered in this course
Reviews
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SSarbajit Bhattacharjee
Some practical case can be added and it can be more interactive
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KKarthik Somayaji
I expected more on building architecture and more system designing concepts.
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TTia Brown
Mr. Holmes is very informative. The examples he uses, especially the real like ones. Make the material much easier to understand and relate to. His teaching style truly helps the concepts stick!
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JJohn Bortoletto
Cory does a great job at telling the story and business needs for AI Agents. This helps build understanding which I need in order to properly implement this solution!
