AI+ Everyone™

Available since September 8, 2025
...
Category

Applied AI for Business

Duration

1 day

Course Open Rounds

Starting Date
Round
Location Price Instructor
02 Feb 2026
Online (10:00 AM GMT+2)
$300
Early $250
$300
Early $250
Mahmoud Ghoz

Course description

The AI+ Everyone certification introduces participants to the world of Artificial Intelligence (AI), making its concepts, applications, and ethical implications accessible to non-technical learners. Designed as a 1-day interactive program, it provides a practical overview of AI technologies, industry use cases, project workflows, and the societal impact of AI.
Through real-world examples and case studies, participants gain insight into how AI is transforming industries such as healthcare, finance, transportation, and education. The course emphasizes both opportunities and challenges, equipping learners with the confidence to understand, discuss, and responsibly engage with AI in personal and professional contexts.

Target audience

This certification is positioned at the Essentials level, suitable for:
▪ Entrepreneurs and Business Leaders seeking to understand AI’s role in business growth.
▪ Working Professionals looking to strengthen their AI literacy and competitiveness.
▪ Students and Graduates interested in foundational AI knowledge for future careers.
▪ General Enthusiasts curious about AI’s applications and ethical impact.

Course requirements

▪ Basic understanding of digital technologies and their impact
▪ Curiosity and openness to learning about emerging technologies
▪ Awareness of ethical and societal issues surrounding AI

Learning Outcomes

By completing this certification, participants will be able to:
▪ Understand the fundamentals of AI and its impact on industries and society.
▪ Recognize core AI technologies such as machine learning, deep learning, NLP, and computer vision.
▪ Explore real-world AI applications and case studies across diverse sectors.
▪ Learn the workflow of AI projects from problem definition to deployment.
▪ Understand the ethical and social implications of AI, including fairness, privacy, and bias.
▪ Discover the role of Generative AI in creativity, design, and innovation.
▪ Prepare for the future of work and identify first steps to start using AI responsibly.

Program Details

▪ Program Duration: 1 day (Instructor-led, live or virtual) OR 8 hours self-paced
▪ Delivery Mode: Instructor-led or self-paced, including projects and case studies
▪ Class Capacity: Minimum 10, maximum 20 participants for interactive sessions
▪ Certification: AI CERTs – AI+ Everyone Certification
▪ Exam Format: 50 questions, 70% passing score, 90 minutes, online proctored exam

Course teachers

Mahmoud Ghoz

With over 22 years of industry experience, Mahmoud brings expertise in leading organizational
transformations, optimizing processes, and managing legacy systems across diverse company
sizes and regions. His deep understanding of the entire business lifecycle allows him to implement
impactful changes at every stage of transformation.
For the last decade, Mahmoud has been dedicated to Lean and Agile methodologies, successfully
guiding large-scale initiatives that promote organizational agility and a culture of continuous
improvement. His work focuses on reducing inefficiencies, driving sustainable growth, and
delivering measurable results.
As a certified instructor for prestigious organizations such as Scrum Alliance, ICAgile, Kanban
University, DASA, and SAFe, Mahmoud has empowered numerous professionals in Agile practices.
Additionally, his credentials as a Hogan assessor and an Intelligent Leadership Advanced Certified
Coach from John Mattone Global enhance his leadership coaching approach.
Mahmoud’s executive coaching is centered on leadership development, fostering agile teams,
driving sustainable organizational change, and promoting executive growth through a deep
understanding of human dynamics.

Mahmoud Ghoz
Mahmoud Ghoz

Course Plan

Section 01

Module 1 | Introduction to Artificial Intelligence

  • What AI is and what it is not (Narrow AI vs General AI)
  • Evolution, history, and milestones (Turing Test, neural networks)
  • Core concepts: ML, neural networks, data analytics
Section 02

Module 2 | AI Technologies

  • Supervised vs unsupervised learning
  • Deep learning with CNNs, RNNs, and Transformers
  • AI in NLP, recommendation engines, and speech recognition
  • Hands-on exploration using simple AI tools
Section 03

Module 3 | AI in Action: Applications and Case Studies

  • Healthcare: disease detection, personalized medicine
  • Finance: fraud detection, algorithmic trading
  • Transportation: autonomous vehicles, route optimization
  • Consumer technology: smart speakers, voice assistants
Section 04

Module 4 | The Workflow of AI Projects

  • Stages: problem definition, data preparation, training, testing, deployment
  • Case studies on workflow challenges and success stories
  • Best practices in project execution
Section 05

Module 5 | Ethics and Social Implications of AI

  • Addressing bias, fairness, and transparency
  • Data privacy and accountability in AI systems
  • Ethical dilemmas in AI deployment across industries
Section 06

Module 6 | Generative AI and Creativity

  • Overview of GANs, VAEs, and Transformers
  • Creative applications: art, music, and design
  • Ethical considerations in generative AI use
Section 07

Module 7 | Preparing for an AI-Driven Future

  • AIu2019s role in reshaping industries and job markets
  • Lifelong learning and continuous upskilling
  • Opportunities and challenges in an AI-enabled society
Section 08

Module 8 | Starting with AI: First Steps and Resources

  • How to build AI literacy in personal and professional life
  • Identifying impactful first projects
  • Resources for skill development, communities, and tools

Reviews

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