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Advanced Prompt Engineering for Business Professionals

Advanced Prompt Engineering for Business Professionals

This course is part of Prompt Engineering for Everyone Specialization

Instructor: Anton Voroniuk

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5 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Design multi-stage prompt workflows and measure the financial ROI of every AI implementation.
Implement advanced reasoning patterns and security protocols to ensure accurate and private corporate outputs.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

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Build your subject-matter expertise

This course is part of the Prompt Engineering for Everyone Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 5 modules in this course

By the end of this course, you will engineer autonomous business agents, design self-correcting workflows, and implement advanced reasoning patterns like Tree of Thoughts. You will master the ability to audit corporate prompts for bias, ensure data privacy, and calculate the clear ROI of AI integration within your daily operations.

Completing this program shifts your role from a casual prompter to an AI orchestrator. Instead of manually managing repetitive tasks, you will learn to build a digital workforce that handles complex research, strategic analysis, and systemic automation with expert-level precision. You’ll gain the technical edge needed to lead AI adoption in professional environments, ensuring you remain an indispensable asset in a tech-driven market. What sets this course apart is its focus on Agentic Logic. We move beyond simple "chatting" to explore how AI can reason through multi-step business dilemmas. You won't just learn to write better instructions; you will build custom systems that connect to external tools and self-verify their own work. This is the blueprint for anyone ready to stop using AI as a simple assistant and start using it as a high-performance engine for business growth.

Module details

This module explores the transition from basic AI prompting to professional orchestration by focusing on knowledge integration, data security, and logical auditing.

What's included

3 videos3 readings1 assignment

3 videosTotal 6 minutes

Introduction to the course1 minute
How to Build Knowledge Base with AI3 minutes
Auditing Business Prompts for Logical Fallacies & Bias2 minutes

3 readingsTotal 30 minutes

The Professional Shift: From Prompting to AI Orchestration.10 minutes
Managing Proprietary Data: Constraints and Security10 minutes
The Prompt Audit Checklist10 minutes

1 assignmentTotal 10 minutes

Test Your Knowledge10 minutes

This module covers advanced reasoning architectures and security defense strategies to ensure that AI outputs are reliable, secure, and measurable.

What's included

4 videos2 readings1 assignment

4 videosTotal 12 minutes

Metacognitive Patterns: Tree of Thoughts & Self-Consistency4 minutes
Engineering Chain-of-Verification (CoVe) for Business Reports2 minutes
Defending Against Prompt Injection: Practical Patterns4 minutes
Building Recursive Self-Correction Loops2 minutes

2 readingsTotal 20 minutes

Prompt Injection: Protecting Corporate Intelligence.10 minutes
Benchmarking: Measuring Prompt Performance10 minutes

1 assignmentTotal 10 minutes

Test Your Knowledge10 minutes

This module focuses on the construction of specialized AI agents through system-level instructions, RAG implementation, and the integration of external tools for business operations.

What's included

4 videos2 readings1 assignment

4 videosTotal 15 minutes

System Prompts vs. User Instructions: The Core of GPTs6 minutes
Engineering a Custom Business GPT2 minutes
The Logic of Actions: Connecting Agents to External Tools4 minutes
Agentic Decision-Making for Operations2 minutes

2 readingsTotal 20 minutes

Knowledge Injection: How to Feed Proprietary Data to Agents10 minutes
Retrieval-Augmented Generation (RAG): What Business Users Need to Know10 minutes

1 assignmentTotal 10 minutes

Test Your Knowledge10 minutes

This module focuses on the strategic deployment of AI within corporate operations, ranging from workflow automation and security to financial performance measurement.

What's included

4 videos2 readings1 assignment

This concluding module explores the shift toward fully autonomous AI agents while finalizing the learning journey through a comprehensive assessment and course review.