IBM
IBM Generative AI for Cybersecurity Professionals Specialization
IBM

IBM Generative AI for Cybersecurity Professionals Specialization

Launch your career in Cybersecurity. Build in-demand generative AI skills and gain credentials for a new cybersecurity career in 3 months or less. No degree or prior experience required.

Taught in English

Some content may not be translated

Dr. Manish Kumar
Rav Ahuja
Antonio Cangiano

Instructors: Dr. Manish Kumar

Included with Coursera Plus

Specialization - 3 course series

Get in-depth knowledge of a subject

4.8

(28 reviews)

Intermediate level

Recommended experience

3 months at 5 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Apply your skills to recognize real-world generative AI uses and identify popular generative AI models and tools for text, code, image, audio, video.

  • Gain knowledge of generative AI prompt engineering concepts, examples, common tools and learn techniques needed to create impactful prompts.

  • Learn how to identify appropriate generative AI tools for cybersecurity.

  • Apply your generative AI skills to address standard and advanced cybersecurity needs.

Details to know

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Recently updated!

February 2024

Specialization - 3 course series

Get in-depth knowledge of a subject

4.8

(28 reviews)

Intermediate level

Recommended experience

3 months at 5 hours a week
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from IBM
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Specialization - 3 course series

Generative AI: Introduction and Applications

Course 16 hours4.6 (355 ratings)

What you'll learn

  • Describe generative AI and distinguish it from discriminative AI.

  • Describe the capabilities of generative AI and its use cases in the real world.

  • Identify the applications of generative AI in different sectors and industries.

  • Explore common generative AI models and tools for text, code, image, audio, and video generation.

Skills you'll gain

Category: Artificial Intelligence (AI)
Category: ChatGPT
Category: Large Language Models (LLM)
Category: Natural Language Generation
Category: Generative AI

Generative AI: Prompt Engineering Basics

Course 27 hours4.8 (233 ratings)

What you'll learn

  • Explain the concept and relevance of prompt engineering in generative AI models.

  • Apply best practices for creating prompts and explore examples of impactful prompts.

  • Practice common prompt engineering techniques and approaches for writing effective prompts.

  • Explore commonly used tools for prompt engineering to aid with prompt engineering.

Skills you'll gain

Category: Artificial Intelligence (AI)
Category: Prompt Engineering
Category: ChatGPT
Category: prompt patterns
Category: Generative AI

What you'll learn

  • Explain the fundamental concepts of Generative AI and its significance in cybersecurity.

  • Apply generative AI techniques to real-world cybersecurity scenarios, including UBEA, threat intelligence, report summarization, and playbooks.

  • Assess the use of generative AI in cybersecurity against threats, like phishing and malware, and understand potential NLP-based attack techniques.

  • Mitigate attacks on generative AI models and analyze real-world case studies, identifying key success factors in implementation.

Skills you'll gain

Category: Incident management, Security Information and Event Management (SIEM)
Category: Artificial Intelligence (AI)
Category: Cybersecurity
Category: Vulnerability Management
Category: Generative AI

Instructors

Dr. Manish Kumar
IBM
3 Courses1,163 learners

Offered by

IBM

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