table of content
- Introuduction
- Course Details
- Course Structure and Requirements: A Comprehensive Overview
- Learning Outcomes: Mastering Prompt Engineering
- Course Content and Modules: Detailed Breakdown
- Embark on Your Prompt Engineering Journey
- conclusion
Introuduction
In today’s tech landscape, artificial intelligence (AI) is more than just a trendy term. It’s a crucial force that we must understand and harness. Generative AI, in particular, stands out for its ability to create content that closely resembles human work. To effectively navigate and use Generative AI, you need specific skills, especially in prompt engineering.
That’s where Coursera comes in. They offer a wide range of courses that cover AI and prompt engineering. One of the courses they provide is called “Generative AI: Fundamentals of Prompt Engineering.” designed for both AI enthusiasts and beginners. This course demystifies prompt engineering and helps you steer Generative AI applications towards desired outcomes. Whether you’re a professional looking to enhance your skills or a curious learner entering the world of AI, this course provides foundational knowledge and skills in prompt engineering.
Led by renowned experts like Rav Ahuja, this course has gained popularity and attracted many participants. Its relevance and quality are undeniable, reflecting the increasing interest and need to apply Generative AI across different sectors. Join this course to master effective communication with AI and ensure that the outputs align with your specific goals.
Embark on a journey of AI mastery with Coursera’s Generative AI course!
Course Details
The Coursera course “Generative AI: Prompt Engineering Basics” is offered in English, with auto-translations available in multiple languages including Deutsch, Hindi, Svenska, Brazilian Portuguese, Italian, French, Indonesian, Polish, Dutch, Turkish, and Қазақша, catering to a global audience.
Instructors for the course include Rav Ahuja and another expert, bringing valuable insights from their extensive experience in the AI field. Rav Ahuja’s background and contributions in AI and technology add significant credibility to the course.
As of the latest update, the course has attracted 7,436 registrants, indicating its popularity and relevance in the current tech landscape. This enrollment figure reflects a wide interest in prompt engineering and Generative AI among diverse learners worldwide.
In the next section, we will delve into the course structure and requirements, providing insights into what participants can expect from this comprehensive learning experience.
Course Structure and Requirements: A Comprehensive Overview
“Generative AI: Prompt Engineering Basics” on Coursera is designed as a beginner-level course, making it accessible to a wide audience, including those new to AI. The course is structured to take approximately 7 hours to complete, offering flexibility in planning and pacing to accommodate different learning styles and schedules.
In addition, the course was recently updated in November 2023, ensuring that the content is current and relevant to the latest developments in the field. This update reflects Coursera’s commitment to providing learners with up-to-date and practical knowledge in the rapidly evolving domain of AI.
Furthermore, Coursera offers financial assistance for this course, making it more accessible to a diverse range of learners who might otherwise be unable to afford it. This initiative aligns with Coursera’s mission to democratize education and make learning opportunities available to all.
In the following section, we will delve into the learning outcomes of the course, outlining what students can expect to learn and the skills they will acquire.
Learning Outcomes: Mastering Prompt Engineering
In the course “Generative AI: Prompt Engineering Basics,” students will develop a comprehensive understanding of the concept and importance of demand engineering in generative AI models. The course covers techniques for writing effective prompts and best practices for creating impactful incentives.
Participants will explore commonly used tools for rapid engineering to assist in this process. The skills gained from this course include a deep understanding of Artificial Intelligence (AI), Rapid Engineering techniques, crafting effective ChatGPT prompt templates, and an overall grasp of Generative AI.
These learning outcomes are designed to equip learners with the necessary skills to navigate the evolving landscape of Generative AI and prompt engineering, providing a solid foundation for beginners and those looking to enhance their current knowledge base.
Course Content and Modules: Detailed Breakdown
The “Generative AI: Prompt Engineering Basics” course is meticulously designed into three modules, each with specific components to enhance the learning experience:
Module 1: Rapid Engineering for Generative AI
In this module, you will learn the concept of prompt engineering in generative AI. You will also learn best practices for writing effective prompts and evaluate common prompt engineering tools.
- 5 Videos (Total duration: 26 minutes)
- Introduction to the course (2 minutes)
- What is an incentive? (5 minutes)
- What is Prompt Engineering? (6 minutes)
- Best practices for creating prompts (5 minutes)
- Common Prompt Engineering Tools (5 minutes)
- 4 Lectures (Total duration: 12 minutes)
- Course Overview (3 minutes)
- Overview of specializations (2 minutes)
- Helpful Tips for Course Completion (5 minutes)
- Lesson summary (2 minutes)
- 2 Homework Assignments (Total duration: 22 minutes)
- Practical Quiz: Concept of Tender Engineering (10 minutes)
- Graded Quiz: Engineering Prompts for Generative AI (12 minutes)
- 3 Application Elements (Total duration: 80 minutes)
- Hands-on lab: Getting to know our AI incentive tool (20 minutes)
- Hands-on lab: Experimenting with prompts (40 minutes)
- Hands-on Lab: Naive Prompting and Persona Pattern (20 minutes)
Module 2: Techniques and Approaches in Rapid Engineering
In this module, you will learn techniques for skillfully crafting prompts that effectively guide generative AI models. You will also learn about various prompt engineering approaches that can improve the abilities of generative AI models to produce accurate and relevant responses.
- 4 Videos (Total duration: 15 minutes)
- Text-to-Text Reading Prompt Techniques (6 minutes)
- Interview model approach (2 minutes)
- The chain of thought approach (2 minutes)
- The thought tree approach (2 minutes)
- 2 Lectures (Total duration: 8 minutes)
- Lesson summary (2 minutes)
- Message Hacks (6 minutes)
- 2 Homework Assignments (Total duration: 22 minutes)
- Practical quiz: Writing effective messages (10 minutes)
- Graded quiz: Prompt Engineering: Techniques and approaches (12 minutes)
- 3 Application Elements (Total duration: 80 minutes)
- Practical laboratory: The interview model approach in prompt engineering (20 minutes)
- Hands-on Lab: The Chain of Thought Approach in Rapid Engineering (30 minutes)
- Hands-on Lab: The Thought Tree Approach to Prompt Engineering (30 minutes)
- 1 Chat Request (Total duration: 10 minutes)
- The future of man made messages of encouragement (10 minutes)
Module 3: Course Summary and Quiz Project
This module has a graded quiz to test and reinforce your understanding of the concepts covered in the course. It also includes a glossary to help you better grasp terms related to generative AI. You’ll get hands-on experience through a final project that applies the course concepts. Additionally, there is optional content available, which covers techniques for writing effective prompts for image generation. You can also explore Prompt Lab, an incentive tool that enhances your incentive engineering capabilities in IBM Watsonx.
- 1 Video (Total duration: 6 minutes)
- Techniques for encouraging the transition from text to image (6 minutes)
- 3 Lectures (Total duration: 6 minutes)
- Congratulations and next steps (2 minutes)
- Thanks from the course team (2 minutes)
- About the optional lesson using IBM watsonx.ai (2 minutes)
- 1 Homework Assignment (Total duration: 21 minutes)
- Graded Quiz – Generative AI: Prompt Engineering Basics (21 minutes)
- 2 Application Elements (Total duration: 35 minutes)
- Final Project: Applying Rapid Engineering Techniques and Best Practices (30 minutes)
- Obtain IBM Cloud feature code and activate trial account (5 minutes)
- 4 Plug-ins (Total duration: 88 minutes)
- Hands-on Lab: Effective Text Prompts for Image Generation (30 minutes)
- Glossary: AI Generative Engineering Prompt (3 minutes)
- Creating an IBM Cloud account (15 minutes)
- Exploring Watsonx Prompt Lab (40 minutes)
Each component is tailored to ensure comprehensive coverage of prompt engineering concepts, providing a blend of theoretical knowledge and practical application.
Embark on Your Prompt Engineering Journey
Are you excited to explore the world of Generative AI and become a master of prompt engineering? Whether you’re a professional looking to upskill, an executive aiming to stay ahead in the AI race, a student eager to explore cutting-edge technology, or simply an AI enthusiast, the “Generative AI: Prompt Engineering Basics“ course on Coursera is here to help you succeed.
By enrolling in this course, you’ll have the opportunity to learn from industry experts, gain practical knowledge, and develop highly sought-after skills in today’s tech-driven world. The course’s comprehensive structure and hands-on approach ensure that you not only understand the theories but also apply them in real-world scenarios.
We encourage you to visit the course page on Coursera for more detailed information and to see firsthand how this course can elevate your understanding and abilities in AI. Take the first step towards empowering yourself with the knowledge and skills necessary to thrive in the rapidly evolving landscape of AI and technology.
Don’t miss out on this chance to transform your understanding of AI and prompt engineering. Visit the course page on Coursera now and embark on your journey towards becoming an expert in this exciting and dynamic field!
Visit the “Generative AI: Prompt Engineering Basics” Course on Coursera
Conclusion
In summary, the “Generative AI: Prompt Engineering Basics” course on Coursera presents a unique and invaluable learning opportunity for anyone interested in the field of AI. It’s more than just a course; it’s a pathway to mastering a skill set that’s becoming increasingly crucial in our tech-centric world.
As AI continues to evolve and influence various aspects of our lives, understanding and mastering prompt engineering will position you at the forefront of this technological revolution. We encourage you to take the leap and enroll in this course to enhance your skills, boost your career, and stay ahead in the ever-changing landscape of AI.
Join the community of learners who are already on their way to becoming proficient in Generative AI. Visit the course page on Coursera, enroll today, and start your journey towards becoming an adept prompt engineer!
You can also learn more about prompt engineering by checking out our other blog on mastering prompt engineering.