Generative AI & Applied Machine Learning

Last Update May 17, 2026
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About This Course

Artificial intelligence and machine learning are transforming how organizations operate, automate workflows, analyze information, and generate business value. Organizations that fail to understand and apply AI technologies risk losing competitiveness, operational efficiency, and innovation opportunities in rapidly evolving digital markets.

The Generative AI & Applied Machine Learning program provides participants with a practical and industry-focused foundation in machine learning, deep learning, and modern generative AI technologies. The program covers data preparation, machine learning models, neural networks, generative AI concepts, prompt engineering, large language models (LLMs), AI frameworks, APIs, and real-world AI application development. Participants gain hands-on experience building intelligent solutions and understanding how AI can be applied strategically across industries and business functions.

Learning Objectives

Understand core artificial intelligence and machine learning concepts
Work with datasets for analysis, preprocessing, and model development
Apply machine learning algorithms and evaluation techniques
Understand generative AI technologies and large language models (LLMs)
Use prompt engineering techniques effectively
Work with AI frameworks, APIs, and modern AI tools
Build simple AI-powered applications and workflows
Understand AI ethics, governance, risks, and future trends

Target Audience

  • Data and AI professionals
  • Software developers and engineers
  • IT professionals and system architects
  • Business professionals interested in AI applications
  • Analysts and technical professionals working with data
  • Individuals seeking to transition into AI-related careers
  • Innovation and digital transformation professionals
  • Professionals interested in practical AI implementation and automation

Your Instructors

Husam Aljoujou

5.0/5
22 Courses
1 Review
0 Students
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