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Certification

Certification: Applied Machine Learning & Generative AI Foundations

Upgrade your CV with proven skills in applied machine learning and generative AI. This certification demonstrates your ability to solve real-world problems using cutting-edge AI tools, setting you apart in today’s evolving tech landscape.

Exam of 10 to 20 questionsCertificate for LinkedInBeginner

The exam

Take the certification exam

Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.

What the exam covers

2 questions from each of the 6 chapters of the course

12 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.

  1. 01Course introduction2:51
  2. 02Intro to machine learning26:41
  3. 03ML under the hood15:58
  4. 04ML vs software demo21:13
  5. 05Intro to generative AI50:53
  6. 06Architecting GenAI systems19:30
About the course

The Certification: Applied Machine Learning & Generative AI Foundations provides a comprehensive understanding of the core principles and applications of machine learning and generative AI. Gain valuable skills such as improved decision-making, increased productivity, and adaptability for future growth in technology-driven roles. Enroll today to unlock new opportunities and strengthen your competitive advantage in the evolving field of artificial intelligence.

This certification covers the following topics:

  • Demystifying Machine Learning Fundamentals
  • Exploring the Mechanics of Machine Learning
  • Introducing Generative AI as a Distinct Field
  • Architecting and Deploying AI Systems
  • Key Stages in the Machine Learning Life Cycle
  • Fundamental Differences Between Machine Learning and Traditional Software Development
  • Relationship Between AI, Machine Learning, and Generative AI
  • What is Generative AI and How It Differs from Predictive Machine Learning
  • Large Language Models (LLMs) and Their Associated Challenges
  • Retrieval Augmented Generation (RAG) in Generative AI Systems
  • Tokenization in Large Language Models
  • Practical Business Applications of Machine Learning
  • Leveraging Generative AI in Business
  • Ethical Considerations of Using Generative AI
  • Evaluation Metrics for Machine Learning Models
  • Evaluating the Quality of Generative AI Outputs
  • Prompt Engineering and Its Importance for LLMs
  • Continuous Learning in Machine Learning

Jobs this certification suits

Our AI checked this certification against 500 jobs; these get the most out of it. Each job links to its learning path.