Online Course – IBM Generative AI for Cybersecurity Professionals Certified Professional Specialization

Enhance your cybersecurity career with AI. Develop in-demand generic skills and get certified for your cybersecurity career in 3 months or less. No degree or prior experience required.

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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 production AI and discrimination AI
  • Knowledge of popular models and tools for creating text, code, images, audio, and video
  • Understanding the principles of artificial intelligence workplace engineering
  • Using zero-shot and few-shot techniques
  • Familiarity with workplace engineering tools such as IBM Watsonx, Prompt Lab, Spellbook, and Dust
  • Applying manufacturing artificial intelligence techniques in practical situations
  • Performing UBEA, threat intelligence, summary reports and work sheets
  • Creating a portfolio of projects that reflects your skills
  • Receiving a course certificate and badge verifying the achievement

What you will learn in the course

Courses for which the course is suitable

  • Cyber ​​expert
  • Artificial Intelligence Engineer
  • Threat Analyst
  • Software developer
  • Technology Project Manager
  • Information Technology Specialist
  • Automated solutions developer
  • Technology Consultant
  • Information Systems Manager
  • Data analysis specialist

Internship – 3-part course series

Production AI skills are becoming an essential part of the toolbox of cyber professionals. Start by learning how to distinguish between production AI and discrimination AI. You’ll discover practical use cases for production AI and learn about popular models and tools for creating text, code, images, audio, and video.

Next, you’ll delve into the principles of AI workplace engineering, their real-world business uses, and workplace techniques like zero-shot and few-shot. You’ll discover popular workplace engineering tools including IBM Watsonx, Prompt Lab, Spellbook, and Dust.

Next, explore the fundamentals of manufacturing AI for cyber. Gain valuable career skills as you apply manufacturing AI techniques to real-world situations, including UBEA, threat intelligence, report summarization, and dashboards, and assess their impact and vulnerabilities.

During your learning journey, you’ll create a portfolio of projects that showcases your skills to potential employers. Plus, you’ll earn a course certificate and shareable badge that confirms your achievement.

Hands-on Learning Project

This specialization emphasizes hands-on learning and includes a series of practical activities and projects. In these exercises, you will apply the theory and skills you have learned and practice them with real-world situations.

The projects include:

  • Creating text, images, and code using generative artificial intelligence
  • Applying workplace engineering techniques and guidelines
  • Using cyber-production AI to filter content, analyze threats, and create automated responses

Details of the courses that make up the specialization

Generative Artificial Intelligence: Introduction and Applications

Course 1
6 hours
4.7 (1,221 ratings)

Course details

  • What will you learn:
    • You will hear about generative artificial intelligence and distinguish it from relational artificial intelligence.
    • Describe the capabilities of generative artificial intelligence and its applications in the real world.
    • Learn about the applications of generative artificial intelligence in various fields and industries.
    • Explore common generative AI models and tools for creating text, code, image, audio, and video.

Skills you will gain

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

Generative Artificial Intelligence: Prompt Engineering Fundamentals

Course 2
7 hours
4.8 (1,889 ratings)

Course details

  • What you will learn:
    • Explain the concept and importance of prompt engineering in generative artificial intelligence models.
    • Use best practices for creating prompts and browse examples of effective prompts.
    • Practice common prompt engineering techniques and styles for writing effective prompts.
    • Explore common prompt engineering tools to support prompt management.

Skills you will gain

  • Artificial Intelligence (AI)
  • Prompt Engineering
  • ChatGPT
  • Prompt templates
  • Generative Artificial Intelligence

Generative Artificial Intelligence: Upgrade Your Cyber ​​Career

Course 3
9 hours
4.6 (40 ratings)

Course details

  • What you will learn:
    • Explain the basic concepts of generative artificial intelligence and its importance in the field of cyber.
    • Using generative AI techniques in real-world cyber scenarios, including UBEA, threat intelligence, report summaries, and game boards.
    • Conduct an assessment of the use of generative artificial intelligence in the cyber field against threats, such as phishing and malware detection.
    • Mitigate attacks on generative AI models and analyze real-world cases.

Skills you will gain

  • Incident Management, Information and Event Management (SIEM)
  • Artificial Intelligence (AI)
  • Cyber
  • Vulnerability Management
  • Generative Artificial Intelligence