Prompting is the art of instructing Large Language Models (LLMs) like ChatGPT to generate meaningful and accurate responses.
Most online courses give you a list of half-baked prompts that may look good, but it takes more than a handful of pretty prompts to integrate AI into a process. It involves understanding their core mechanics, validating their accuracy, and integrating them into scalable solutions that streamline complex workflows in any industry.
Enter the Master in Prompt Engineering – a unique interactive online program led by Harvard teacher Gianluca Mauro, designed for professionals who seek to transform their workflows, speed up tasks, and enhance product development using AI-powered prompts.
The program enriches your domain expertise with highly sought-after skills, opening doors to career opportunities in today's rapid-paced world.
And even if "engineering" may make it sound scary, don't worry - you can learn this skill even with zero coding or math skills.
Understand the art of fine-tuning AI prompts and how to validate their performance and reliability.
Gain the skills to introduce and manage AI tools in your business, helping your company stand out in your field.
Learn how to sell your AI projects to your client or employer, with a usable prototype and a powerful product presentation.
Interactive Live Sessions
Three Hands-on and practical lessons with instructor Gianluca Mauro.
LIVE DATES at 6 pm CET: Live N°1 18/01 | Live N°2 01/02 | Live N°3 15/02
On-demand Content
Comprehensive video and text on-demand content with practical exercises.
Peer Collaborations
Two group work live sessions, collaborating with other students under AI Academy team guidance.
LIVE DATES at 6 pm CET: Group work N°1 25/01 | Group work N°2 08/02
The Capstone Project
Design an AI-powered prototype to showcase your new skills and earn our certificate of completion while creating an impressive case study for your portfolio.
- The technology behind ChatGPT: how does it work?
- Understanding the technological landscape and how to integrate ChatGPT
- Controlling LLMs: how to use OpenAI’s playground.
- EXERCISE: Experiment with OpenAI’s playground
- The prompt writing process.
- The CIDI framework.
- What’s a good prompt?
- Meta prompts and user variables.
- EXERCISE: Writing a good prompt for…
- The components of a generative AI project.
- Identifying and scoping a generative AI project.
- Case study: Identifying a good use case for an AI project at Sifted.
- PROJECT WORK: Design your project.
- Few shot prompting.
- The “show your work” technique.
- Chain of thought prompting.
- Adding context: More complex integrations and embeddings
- PROJECT WORK: Testing Advanced Prompting Strategies
- Token Limitation and Strategies to go around it.
- Retrieval-Augmented Generation (RAG).
- Advanced RAG case study.
- AI project presentation template.
- Work on a presentation to showcase your project work.
- Project review.
Of course! Companies know that they will be more competitive if their employees understand AI, so chances are they will help you out even if there isn’t a formal training budget allocated. For more information, please see this page.
Absolutely not. AI is a tool and, like all tools, you can either decide to use it yourself or cooperate with someone who uses it. What matter is that you comprehend what you can achieve with it and what you need to make it work.
You can study the on-demand lessons at your own pace whenever suits you. Besides, live sessions are recorded for you to watch at any time.
You probably have heard the phrase “Data is the new gold”. Most companies already have data, they just don’t know how to put them to good use. Our case studies will help you realize how AI can apply to different scenarios.
Yes, you can pay for the course in 3 monthly installments. Select the "Or click here to pay in 3 installments" option during purchase.
You’ll get a certificate of completion from AI Academy that you can display on your LinkedIn profile and CV.
You’ll get lifetime access to video lessons.
Yes, we do. We offer a 14-day money-back guarantee from the date of purchase. You’ll just have to explain to us what you didn’t enjoy to help us improve our offer.
Yes, you can. Once you've made the purchase, you'll be redirected to a "thank you page" where you'll be able to add your company data and we'll prepare an invoice for you. Follow our guidelines to learn more.
The course spans a total of two months with all live sessions scheduled at 6 PM CET.
Alongside the course fee, you may incur extra expenses while building prototypes. This often involves utilizing the OpenAI API (pay-per-use) and automation tools like Zapier or Make, which have variable pricing plans.
Absolutely! We recognize the dynamic nature of generative AI and significant advancements in the field lead to new lessons being added to the program. These updates are accessible to all participants, including those who have completed the course.
