The AI Skillset For All Employees: Prompt Engineering, Custom Assistants, AI Agents, ChatGPT, Gemini, Claude and Zapier
Description
Many employees already use AI tools such as ChatGPT or Gemini.
Far fewer understand how to use them systematically to improve productivity, automate tasks, and support decision-making.
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This course approaches AI as a practical work skill, not as a technical topic or theoretical overview.
The focus is on developing the core capabilities employees need to work effectively with AI tools, assistants, and automated workflows.
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You will learn how AI systems work in a professional environment, how to guide them with effective prompts, and how to integrate them into common work tasks such as writing, research, meetings, and content creation.
The course also introduces the next step in AI adoption: AI agents that automate workflows and collaborate with business tools.
What this course covers:
Fundamental principles of working with AI tools in professional environments.
Prompt engineering strategies that improve the quality and reliability of AI outputs.
Using AI for writing, translation, research, and knowledge retrieval.
AI tools for meeting summaries, insights, and documentation.
Image and video generation for communication and content creation.
Building custom AI assistants and context-aware systems.
Introduction to agentic AI and automated workflows.
Creating simple AI agents using Zapier.
Risks, limitations, and responsible use of AI in the workplace.
Who this course is for
This course is designed for:
Employees who want to improve productivity using AI tools.
Professionals working in business, operations, marketing, product, or support roles.
Managers who want to understand how AI can support team workflows.
Anyone interested in developing practical AI skills for the workplace.
No technical background or programming experience is required.
How the course is structured
The course progresses from AI fundamentals to practical applications and automation.
You will first learn the core principles of working with AI, including prompt engineering and context management.
Next, you will explore real work use cases such as writing, research, meeting insights, and content generation.
In the final part of the course, you will build simple AI agents that automate business workflows, demonstrating how AI can move beyond assistance into active task execution.
Course outcome
By the end of the course, you will understand how to use AI tools effectively in your daily work, design better prompts, build custom assistants, and create simple AI-powered workflows.
The goal is to help you develop the practical AI skillset that employees increasingly need in an AI-driven workplace.
*This course contains the use of artificial intelligence.
| Total Students | 931 |
|---|---|
| Duration | 2 hours |
| Language | English (US) |
| Original Price | |
| Sale Price | 0 |
| Number of lectures | 29 |
| Number of quizzes | 5 |
| Total Reviews | 68 |
| Global Rating | 4.4919353 |
| Instructor Name | Ivan Lourenço Gomes |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
86% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 2 hours
- Practical value: 7/10
Roadmap Fit
- Beginner → Beginner → Advanced
Key Takeaways for Learners
- Automation
- Hands On
- Practical
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
- Hands On
- Practical
- Clear Explanation
- Project
- Concise
Watch-outs
- Too fast
- Too slow
- Missing project
Difficulty
Best suited for
New learners starting from zero, Doers who prefer project-led learning
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