Online Course – IBM Certified Professional Internship in Fundamentals of Generative Artificial Intelligence

Unleash and harness the potential of generative artificial intelligence. Discover how you can use the capabilities of this intelligence to improve your work and everyday life.

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קורס אונליין - התמחות מקצועית מוסמכת ביסודות בינה מלאכותית גנרטיבית של IBM

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Powerful command engineering techniques.
  • Fundamentals and basic models of generative intelligence (such as GPT, DALL-E, and IBM Granite).
  • Moral implications and considerations of generative artificial intelligence.
  • Insights and tips for success with generative artificial intelligence.
  • Improving career and productivity with generative intelligence.
  • Practical experience in creating texts, images and code.
  • Knowledge of guidance tools.
  • Experiment with commands.
  • Different approaches to command engineering.
  • IBM watsonx.ai and Hugging Face research.

What you will learn in the course

Courses for which the course is suitable

  • Software developers
  • Data analysts
  • Digital marketing professionals
  • Graphic designers
  • Technology Project Managers
  • Artificial Intelligence Researchers
  • Technology consultants
  • Content and creative writing professionals
  • Product Managers
  • Technology salespeople

Professionalization – Series of 5 courses

This specialization provides an in-depth understanding of the concepts, models, tools, and applications of generative artificial intelligence, enabling you to harness the potential of these technologies to improve your workplace, career, and life.

The specialization includes five short courses that can be studied at a personal pace, with each course requiring 3–5 hours to complete.

What will you learn?

  • Powerful command engineering techniques.
  • Fundamentals and basic models of generative intelligence (such as GPT, DALL-E, and IBM Granite).
  • Moral implications and considerations of generative artificial intelligence.
  • Insights and tips for success with generative artificial intelligence.
  • Improving career and productivity with generative intelligence.

Labs and practical projects

Practice what you learn with hands-on labs and projects, which are suitable for everyone and can be completed using a web browser. In these labs, you can explore applications of generative intelligence using popular tools and platforms like IBM watsonx.ai, OpenAI ChatGPT, Stable Diffusion, and Hugging Face.

Hands-on Learning Project

During the specialization, you will complete labs and practical projects, which will help you gain practical experience in creating texts, images, and code.

Examples of laboratories

  • Creating texts using ChatGPT and Bard.
  • Creating images using GPT and Stable Diffusion.
  • Code generation in action.
  • Knowledge of guidance tools.
  • Experiment with commands.
  • Different approaches to command engineering.
  • Basic models of generative intelligence.
  • IBM watsonx.ai and Hugging Face research.

This specialization is intended for anyone who is passionate about discovering the power of generative intelligence and does not require prior technical knowledge or background in the field of artificial intelligence.

Details of the courses that make up the specialization

Generative Artificial Intelligence: Introduction and Applications

Course 1
6 hours
4.7 (1,221 ratings)

What you’ll learn

  • Describe generative artificial intelligence and differentiate it from discriminative artificial intelligence.
  • Describe the capabilities of generative artificial intelligence and its real-world uses.
  • Identifying the applications of generative artificial intelligence in a variety of fields and industries.
  • Exploring common generative models and tools for creating text, code, images, audio, and video.

Skills you will acquire

  • Business Transformation
  • Career opportunities
  • An artificial intelligence-driven workplace
  • Career improvement
  • Generative Artificial Intelligence

Generative Artificial Intelligence: Fundamentals of Command Engineering

Course 2
7 hours
4.8 (1,889 ratings)

What you’ll learn

  • Explain the concept and relevance of command engineering in generative artificial intelligence models.
  • Implementing best practices for creating commands and exploring examples of impactful commands.
  • Practice common generic techniques for writing effective commands.
  • Research common tools for command engineering.

Skills you will acquire

  • Artificial Intelligence (AI)
  • ChatGPT
  • Large Language Models (LLM)
  • Natural language creation
  • Generative Artificial Intelligence

Generative Artificial Intelligence: Basic Models and Platforms

Course 3
6 hours
4.7 (128 ratings)

What you’ll learn

  • Describe the basic concepts of generative artificial intelligence and its main models.
  • Explain the concept of basic models in generative artificial intelligence.
  • Explore the capabilities of pre-trained models for AI-driven applications.
  • Explore the features, capabilities, and applications of various generative AI platforms, such as IBM WatsonX and Hugging Face.

Skills you will acquire

  • Responsible Generative Artificial Intelligence
  • Limitations of Generative Artificial Intelligence
  • The impact of generative artificial intelligence
  • Ethics in Generative Artificial Intelligence

Generative Artificial Intelligence: Impact, Considerations, and Ethical Issues

Course 4
5 hours
4.8 (116 ratings)

What you’ll learn

  • Describe the limitations of generative artificial intelligence and the concerns associated with it.
  • Identify ethical issues, concerns, and misuses related to generative artificial intelligence.
  • Explain the considerations for responsible use of generative artificial intelligence.
  • A discussion on the economic and social impact of generative artificial intelligence.

Skills you will acquire

  • Artificial Intelligence (AI)
  • Large Language Models (LLM)
  • Pre-trained models
  • Generative Artificial Intelligence
  • Basic models

Generative Artificial Intelligence: Business Transformation and Career Growth

Course 5
6 hours
4.6 (Ratings)

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