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AI for Work: Future-Proof Your Career with AI

Name: AI for Work: Future-Proof Your Career with AI
Rating: 4.5 (71 reviews)

The AI Skillset For All Employees: Prompt Engineering, Custom Assistants, AI Agents, ChatGPT, Gemini, Claude and Zapier

Role Play

Created byIvan Lourenço Gomes, Anton Voroniuk, Anton Voroniuk Support

Last updated 3/2026

English

What you'll learn

Apply practical prompt engineering strategies to generate more accurate, structured, and useful outputs from AI tools.
Use AI tools such as ChatGPT, Gemini, and Claude to improve everyday work tasks including writing, research, translation, and meeting summaries.
Create and use custom AI assistants that follow instructions, use context, and support recurring workflows.
Build simple AI agents and automated workflows using Zapier to support business processes such as research and meeting preparation.
Generate visual and video content using AI tools for presentations, communication, and marketing materials.
Understand the risks, limitations, and responsible use of AI, including data security, bias, and ethical considerations in the workplace.

Course content

4 sections • 29 lectures • 2h 9m total length

AI at Work - Practical Methods That Scale1:41
Learn practical ways to integrate AI into everyday workflows so it consistently improves productivity, quality, and speed across different tasks.
Introduction to Prompt Engineering: 4 Proven Strategies1:11
Discover the core principles of prompt engineering and the four strategies that dramatically improve the accuracy and usefulness of AI outputs.
Strategy 1: Write Clear Instructions1:26
Understand how precise, well-structured instructions guide AI models to produce more reliable and relevant results.
Strategy 2: Provide reference text1:34
Learn how supplying context or source material helps AI generate more accurate answers and grounded insights.
Strategy 3: Split complex tasks into simpler subtasks2:17
Explore how breaking large problems into smaller steps improves AI performance and reduces errors.
Strategy 4: Provide examples1:57
See how examples teach AI the expected format, tone, and style, leading to much more consistent outputs.
Prompt Engineering Strategies
Knowledge Bases and Context-Aware AI4:01
Learn how to use knowledge bases and contextual information to make AI tools smarter, more relevant, and tailored to your organization.
Custom AI Assistants: GPTs, Gems, and Persistent Behavior7:06
Understand how to build customized AI assistants that remember instructions, follow workflows, and consistently support your work.
Testing and Improving AI Systems at Work3:12
Learn practical methods to evaluate AI outputs, identify weaknesses, and continuously improve AI-powered workflows.
Improving your Gem
Designing an AI Implementation Plan

Writing with AI7:38
Discover how AI can accelerate writing tasks such as emails, reports, marketing content, and documentation.
Translating Content7:48
Learn how AI can quickly translate content across languages while preserving meaning, tone, and context.
Researching with Notebook LM9:03
Explore how NotebookLM helps you analyze documents, synthesize information, and extract insights from large knowledge sources.
Knowledge Retrieval and Training4:20
Learn how AI can search internal knowledge bases and support onboarding, training, and employee learning.
Meeting Summarization and Insights with MeetGeek7:24
See how AI can automatically record meetings, generate summaries, extract action items, and highlight key insights.
Image Generation with Nano Banana4:53
Discover how AI image tools can generate visuals, concepts, and creative assets for presentations, marketing, and design.
Video Creation with Gemini & Veo34:47
Learn how AI can generate and edit videos from simple prompts, enabling fast content creation.
Image and Video Generation with Google Whisk7:25
Explore how Google Whisk allows you to generate visual and video content to support communication and storytelling.

Introduction to Agentic AI: Creating a Customer Intelligence Team3:56
Understand the concept of agentic AI and how multiple AI agents can collaborate to automate complex business workflows.
Getting Started with Zapier4:00
Learn how Zapier connects apps and enables automation workflows that power AI-driven systems.
Creating Our First AI Agent5:47
Build your first AI agent that performs a specific business task automatically.
Testing the AI Agent2:21
Learn how to test, debug, and refine your AI agent to ensure reliable performance.
Setting Up the Research Agent5:27
Create an AI agent that gathers and analyzes information about customers or prospects.
Setting Up the Briefing Agent6:29
Build an AI agent that summarizes research and prepares actionable customer briefings.
Connecting Calendly5:32
Integrate scheduling tools like Calendly so AI agents can trigger workflows based on upcoming meetings.
Testing the Customer Intelligence Team2:31
Validate how multiple AI agents work together as a coordinated system.
More Ideas to Expand our AI Agents Team2:35
Explore additional ways to extend your AI agent ecosystem to automate more business functions.
From Chat Assistants to AI Agents

Data Security and Confidentiality6:31
Understand how to protect sensitive information when using AI tools in professional environments.
Data Security and Confidentiality
Bias, Ethics, and Responsible Use4:53
Learn how AI bias occurs and how to apply ethical guidelines when using AI in decision-making.
Bias, Ethics and Responsible Use
Course Ending1:22
Review the key lessons from the course and identify practical next steps to continue building AI skills for the future of work.
Responsible Use of AI in Client Communication

Requirements

No prior experience with artificial intelligence or programming is required.
Basic computer skills and familiarity with common workplace tools (documents, email, browsers).
Access to a computer and an internet connection.
Willingness to experiment with AI tools and apply them to real work tasks.
Optional: Access to AI tools such as ChatGPT, Gemini, or Claude (free versions are sufficient for most lessons).

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.

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.

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.

Who this course is for:

Employees who want to improve productivity and efficiency using AI tools in their daily work.
Professionals in roles such as business, operations, marketing, product, customer success, HR, and support who want practical ways to apply AI.
Managers and team leaders who want to understand how AI can support workflows, research, communication, and decision-making.
Professionals who want to future-proof their careers by developing practical AI skills that are increasingly required in modern workplaces.
Beginners who are curious about AI and want a structured introduction to using tools like ChatGPT, Gemini, Claude, and Zapier at work.

AI for Work: Future-Proof Your Career with AI

What you'll learn

Explore related topics

Course content

AI for Work - The Core Foundations10 lectures • 24min

AI Use Cases for Work8 lectures • 53min

Introduction to Agentic AI9 lectures • 39min

Risks, Limitations, and Responsible Use of AI4 lectures • 13min

Requirements

Description

Who this course is for: