Online Course – Certified Professional Internship in Generative AI Product Management – Google, IBM

Advance your career as a product manager with generative AI. Gain hands-on skills in generative AI that will advance your career in just under 2 months. No prior experience is required to get started.

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Professional Certificate

Intermediate level

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Distinguishing between generative artificial intelligence and discriminative artificial intelligence.
  • Real-world use cases of generative artificial intelligence.
  • Popular generative models and tools for creating text, code, images, audio, and video.
  • Engineering generative artificial intelligence commands for business uses.
  • Command techniques such as zero-shekels and few-shekels.
  • Tools such as IBM Watsonx and Spellbook.
  • Specific techniques and processes for product improvement.
  • Case studies on developing successful products using artificial intelligence.
  • Ethical issues for gaining trust from management.
  • Create text, images, and code using generative artificial intelligence.
  • Apply command engineering techniques and best practices.
  • Using generative models to create a predictive model for the sales price of a used car.
  • Building a product using generative artificial intelligence.

What you will learn in the course

Courses for which the course is suitable

  • New and experienced product managers
  • Software developers
  • Product designers
  • Business analysts
  • Artificial Intelligence Experts
  • Market researchers
  • Project managers
  • Digital marketing professionals
  • Technology consultants
  • Business development people

Internship – 4-part course series

With everything focused on automating tasks or customizing the user experience, generative AI is changing the way we design and develop products. This specialization will help product managers, both new and experienced, become proficient in generative AI and gain insights into how to leverage this technology to their advantage.

What will you learn?

  • Distinguishing between generative artificial intelligence and discriminative artificial intelligence.
  • Real-world use cases of generative artificial intelligence.
  • Popular generative models and tools for creating text, code, images, audio, and video.
  • Engineering generative artificial intelligence commands for business uses.
  • Command techniques such as zero-shekels and few-shekels.
  • Tools such as IBM Watsonx and Spellbook.
  • Specific techniques and processes for product improvement.
  • Case studies on developing successful products using artificial intelligence.
  • Ethical issues for gaining trust from management.

Applied Learning Project

This specialization has a strong emphasis on applied learning and includes a series of hands-on activities. In these exercises, you will apply the principles and skills you have acquired to real-world scenarios.

Projects to be carried out:

  • Create text, images, and code using generative artificial intelligence.
  • Apply command engineering techniques and best practices.
  • Using generative models to create a predictive model for the sales price of a used car.
  • Building a product using generative artificial intelligence.

Sign up now and acquire skills that show you are ready to harness the power of generative AI.

Details of the courses that make up the specialization

Creative Artificial Intelligence: Introduction and Applications

Course 1
6 hours
4.7 (1,221 ratings)

What you’ll learn

  • Describe creative artificial intelligence and examine its difference from discriminating artificial intelligence.
  • Describe the capabilities of creative artificial intelligence and real-world use cases.
  • Identification of applications of creative artificial intelligence in various fields and industries.
  • Discover popular models and tools in creative AI for creating text, code, images, audio, and video.

Skills you will gain

  • Artificial Intelligence (AI)
  • ChatGPT
  • Large Language Models (LLM)
  • Natural language creation
  • Creative artificial intelligence

Artificial Intelligence: Conversation Engineering Fundamentals

Course 2
7 hours
4.8 (1,889 ratings)

What you’ll learn

  • Explain the concept and importance of conversation engineering in creative artificial intelligence models.
  • Apply best practices for creating guidelines and discuss examples of effective guidelines.
  • Practice common conversation-brokering techniques and effective instruction writing methods.
  • Discover common conversation engineering tools to help manage leads.

Skills you will gain

  • Artificial Intelligence (AI)
  • Call engineering
  • ChatGPT
  • Guidelines patterns
  • Creative artificial intelligence

Product Management: Building Products with Artificial Intelligence

Course 3
7 hours
4.4 (40 ratings)

What you’ll learn

  • Explain the roles of a product manager in the field of artificial intelligence and the skills required to manage the product lifecycle.
  • Perform skills analysis, explore opportunities and challenges in the field of artificial intelligence.
  • Describe the value proposition of artificial intelligence and the stages of product development in the field of artificial intelligence.
  • Discuss the integration of artificial intelligence into the product management lifecycle.

Skills you will gain

  • Artificial Intelligence Skills Analysis
  • Product Manager in Artificial Intelligence

Artificial Intelligence: Accelerating Your Career in Product Management

Course 4
10 hours
4.3 (29 ratings)

What you’ll learn

  • Explaining the basic concepts and benefits of using creative artificial intelligence in product management.
  • Demonstrate proficiency in using various creative artificial intelligence tools.
  • Analyze the ethical considerations in using creative artificial intelligence.
  • Apply creative AI techniques to improve performance across the product lifecycle.

Skills you will gain

  • Idea generation
  • Product Manager
  • Creative artificial intelligence
  • Product Management Cycle