Overview
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This specialization takes you from your first ChatGPT prompt to deploying autonomous Workspace Agents that run business workflows. You'll master account setup, structured prompting frameworks like CO-STAR and CREATE, and advanced techniques such as chain-of-thought reasoning and prompt chaining to produce reliable, checkable outputs. You'll then apply these skills to build custom GPTs and cloud-based Workspace Agents for sales, finance, IT, and marketing teams, complete with governance, security, and compliance controls for enterprise use.
Syllabus
- Course 1: Introduction to ChatGPT for Beginners
- Course 2: Prompt Engineering for ChatGPT
- Course 3: ChatGPT Workspace Agents for Teams
Courses
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By the end of this course, you will master the art of architectural prompting—moving beyond casual conversation to professional-grade AI orchestration. You will learn to leverage industry-standard frameworks like CO-STAR, RACE, and CREATE to build high-performance outputs, understand the statistical "hood" of tokens and probabilities to eliminate hallucinations, and chain complex prompts to handle large-scale projects with surgical precision. Completing this course transforms ChatGPT from a simple chatbot into your ultimate professional multiplier. Whether you are a student, a business lead, or a creative, you will gain the ability to synthesize raw data into polished reports and automate repetitive workflows, saving hours of manual labor. What makes this course unique is its focus on structural rigor and future-proofing. We don’t just give you a list of "cool prompts"; we teach you the underlying logic of generative AI and prepare you for the coming era of autonomous agents. If you’re a beginner, we provide a structured path to mastery; if you’re an experienced user, we offer the technical depth to turbocharge your efficiency. Stop just "chatting" and start architecting your future in the AI-native world.
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By completing this course, you will master the architectural frameworks required to build, secure, and scale autonomous artificial intelligence agents across collaborative enterprise environments. Learners will benefit by transitioning from basic prompt engineering to designing active, cloud-based digital assets that execute complex business workflows. You will gain hands-on expertise in structuring long-term knowledge repositories, managing data privacy controls, and deploying automated actions directly into platforms like Notion, shared team calendars, and corporate email networks. What makes this course completely unique is its deep, engineering-focused emphasis on governance, risk management, and operational scalability. Rather than treating AI as an isolated chat assistant, you will learn to manage it as an enterprise-grade digital workforce. You will explore concrete methods for automated data leakage prevention, role-based information processing, and deconstructing legacy standard operating procedures into predictable, audit-ready AI routines. Whether you are an operations manager looking to eliminate administrative bottlenecks or a technical professional aiming to lead digital transformation, this course provides the structured treasure trove of practical techniques, templates, and frameworks needed to safely automate workspace pipelines and supercharge your team's collective efficiency.
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Make ChatGPT more useful, reliable, and easier to review in everyday work. You’ll learn to configure it for your context, write usable prompts, work with documents and visuals, and build repeatable workflows for research, content, planning, and email. Throughout the course, you’ll explore: ChatGPT Setup: Choose models and reasoning effort, adjust response settings, and apply privacy and data controls. Prompting: Use role, context, task, and format to create reusable prompts, fix weak outputs, and improve answers with follow-ups. Documents and Visuals: Turn long files into source-checked briefs, analyze images, and create charts and infographics while considering rights and disclosure. Projects and GPTs: Organize instructions, files, memory, apps, and recurring tasks, then build and test a custom GPT for one job. Research and Work: Request sources and quotations, fact-check claims, plan realistic activities, create authentic content, and draft reusable emails. By the end of the course, you’ll use ChatGPT with stronger judgment, producing practical outputs while checking accuracy, privacy, suitability, and human accountability.
Taught by
Anton Voroniuk