Home > Workshops > AI Training for Product Professionals

AI Training for Product Professionals: A Comprehensive Workshop on ChatGPT and Prompt Engineering

Workshop Overview:

Get the skills you need to streamline workflows and optimize product decision-making through the use of generative AI and prompt engineering.
Develop a deep understanding of generative AI capabilities and use cases, so you can leverage advanced technology and stay at the forefront of industry trends.
Effectively engineer prompts that inspire creativity, drive customer engagement and align with your brand strategy so you can craft compelling content that resonates with your market.

AI Training for Product Professionals

$1,095.00 /One Time +Taxes

As low as $91.25/month with .

COMMON ROLES

This course is for Product Management, Product Marketing, Product Owners, Marketing Communications, Brand Management, Executive Leadership

Limited Spots Remaining

Nov 25 - 26

Online Delivery

9:00AM - 12:00PM

Eastern Time

Team Training

Dec 5

Online Delivery

10:00AM - 04:00PM

Eastern Time

Team Training

Dec 16 - 17

Online Delivery

9:00AM - 12:00PM

Eastern Time

Team Training

Dec 23

Online Delivery

10:00AM - 04:00PM

Eastern Time

Team Training

Get the skills you need to streamline workflows and optimize product decision making through the use of generative AI and prompt engineering.

Skills you’ll gain

Automated Workflows
Generative AI
ChatGPT
AI Product Prioritization

AI Training for Product Professionals

$1,095.00 / One Time +Taxes

COMMON ROLES

This course is for Product Management, Product Marketing, Product Owners, Marketing Communications, Brand Management, Executive Leadership

Live Online

Thanks to Credly, it’s now easier than ever to share your Pragmatic Institute workshop completion badge with the world.

What you’ll learn in
AI for Product Professionals

Understanding Generative AI

Develop a deep understanding of generative AI capabilities and limitations
Explore ways to differentiate your products and processes through AI integration

Strategic Implementation

Apply generative AI and prompt engineering techniques in practical product management scenarios
Integrate generative AI-powered content into product development processes
Optimize marketing strategies and drive meaningful outcomes

Prompt Engineering Proficiency

Evolve from using existing prompts to masterful prompt engineering
Determine the right types of prompts to engineer to orient AI for the highest value output based on content, interaction, and situation

Future-Proof Your Career

Understand generative AI and its relevance to your job, ensuring enhanced performance
Contribute to overall company success with prompt engineering
Stay ahead of the curve and become a trendsetter in your field

Ready To Start?

What Is Generative AI?

Generative AI is an innovative technology that leverages algorithms to fabricate novel content, be it text, images, audio, simulations, or videos. What sets generative AI apart is its ability to go beyond mere data analysis and classification. It’s christened ‘generative’ since it is intrinsically about drafting new data or content that was non-existent before.

One monumental stride in the realm of generative AI is the creation of large language models, such as GPT (Generative Pre-trained Transformer) and DALL-E.

GPT is capable of creating coherent and contextually relevant textual responses to an assortment of prompts. It has been instrumental in the genesis of AI chatbots like ChatGPT, which possesses the prowess to answer an inexhaustible array of queries, as well as generate content spanning computer code, essays, poetry and beyond.

DALL-E, on the other hand, is adept at crafting images from textual portrayals or writing text captions for images.

What Is Prompt Engineering?

As AI models, particularly large language models like GPT-4, evolve into more sophisticated and potent tools, there is a growing necessity for human maestros who can craft prompts that effectively communicate tasks to these models.

While AI models are staggeringly powerful, they are also literal and are heavily contingent on the quality of input they receive. A nuanced alteration in prompt phrasing can trigger dramatically different outputs. Moreover, language models lack innate comprehension or common sense, so prompt engineering is shepherding them to yield meaningful and contextually accurate responses.

Prompt engineering allows product managers to tailor the behavior and output of AI models to specific use cases or applications. They can experiment with different prompt variations, fine-tuning the language, structure, and specific details to elicit the desired response.

The Implications of Generative AI for Product Managers

Product Development

Generative AI can create new product designs or optimize existing ones. For example, it can generate different design options based on certain criteria, which can significantly speed up the product development process.

Content Creation

Product marketing managers can use generative AI to create marketing content such as ads, blogs, videos and graphics.

Personalization

Generative AI can create personalized content for customers, which can improve engagement and conversion rates.

Customer Insights

By analyzing customer data, generative AI can generate insights that can be used to make informed decisions regarding product features, marketing strategies and more.

Market Research and Analysis

Generative AI can simulate market conditions and generate predictive models for market trends.

Automated Customer Support

Generative AI chatbots can handle customer queries and provide support, freeing up human resources to focus on more complex tasks.

Training and Education

For internal purposes, generative AI can be used to create sales enablement training materials and educational content for employees.

Risk Management

Generative AI can simulate different scenarios and outcomes to help product managers assess risks and make informed decisions.

Innovation

Generative AI can be a source of innovation, helping product managers to think outside the box by generating ideas and solutions that might not have been considered otherwise.

Nils Janse, a successful entrepreneur and the founder of Delibr, is renowned for his expertise in product development and AI. His tool, Delibr, revolutionized how product teams collaborate on the feature refinement process. His recent work integrating chat GPT with tools like Delibr positions him at the cutting edge of AI and product development.

Nils Janse

Will Scott brings over 25 years of international experience leading product marketing and management teams across various sectors. With an engineering background and senior roles at Cisco, Navisite, and Capgemini under his belt, Will offers a comprehensive understanding of the technical and business aspects of product development.

Will Scott

Dan is a proven product management leader, passionate about helping companies improve their product strategy and operations. He has extensive experience as a product management instructor, mentor and coach. Over his multi-decade career, Dan has led a wide variety of product teams across various industries. “I absolutely love teaching product management best practices and there is no better platform for doing this than the Pragmatic Framework. Being a Pragmatic instructor allows me to channel my passion for helping teams build great products.”

Dan Corbin

Instructors for AI Training for Product Professionals

This workshop is taught by three distinguished industry leaders, Nils Janse, Will Scott, and Dan Corbin, who bring a wealth of knowledge and experience.

Together, they provide a comprehensive and balanced perspective on product strategies and AI. Their combined expertise offers a unique learning experience, equipping you with the knowledge and skills to navigate the ever-evolving landscape of product management and AI.

Pragmatic Certifications

AI Training for Product Professionals: A Comprehensive Workshop on ChatGPT and Prompt Engineering