Artificial Intelligence and Machine Learning Bootcamp
An intensive hands-on bootcamp designed to build practical AI and machine learning skills through real-world applications, data-driven models, and industry use cases across business, healthcare, and finance.
Program Overview
This executive bootcamp empowers participants to gain hands-on experience in the practical applications of Artificial Intelligence and Machine Learning. Designed for professionals across sectors, the program blends foundational theory with real-world practice to prepare participants for AI-driven transformation in their fields.
Mode of Delivery
- Interactive lectures
- Hands-on labs
- Case studies
- Practical simulations
- Capstone project
Target Audience
- Professionals
- Data analysts
- Software engineers
- Business strategists
- Healthcare and finance specialists, and decision-makers aiming to integrate AI and machine learning into organizational solutions.
Objectives of the Training Program
By the end of this 7-day bootcamp, participants will be able to:
- Understand the foundational concepts of AI and machine learning.
- Differentiate between supervised, unsupervised, and reinforcement learning.
- Apply neural networks and deep learning models to real data problems.
- Explore generative AI and its applications in industry-specific scenarios.
- Use industry tools and platforms (e.g., Python, TensorFlow, Scikit-learn) to develop and evaluate ML models.
- Analyse business, healthcare, and finance data using AI-driven insights.
- Collaborate on a capstone project tailored to real-world problems in the UAE/GCC context.
Course Description
This intensive bootcamp equips participants with practical AI and machine learning skills through hands-on tools and real-world case studies in sectors such as business, healthcare, and finance. Learners build foundational knowledge in supervised and unsupervised learning, neural networks, and generative AI. The program includes a capstone project where participants design and present an AI-based solution tailored to real UAE/GCC use cases.
Learning Outcomes
By the end of this program, participants will:
- Build, train, and evaluate machine learning models using real datasets
- Design AI solutions that address specific industry needs
- Understand ethical, legal, and strategic implications of AI adoption
- Collaboratively develop and present a real-world AI solution
- Gain applied skills in using AI/ML platforms and tools
Methodology
- Instructor-led sessions with live demonstrations
- Hands-on labs using real datasets
- Interactive case studies from the UAE and GCC
- Simulation-based exercises and model testing
- Capstone project with team-based presentation and expert feedback
Certification
- Certificate of Completion endorsed by AUE
- Attendance certificates are attested by KHDA
- Optional 2 Continuing Education Credits (CECs)
Schedule & Topics
| Day | Session Title | Hours | Focus & Learning Outcomes |
|---|---|---|---|
| Day 1 | Introduction to AI & ML: Concepts, Tools, and Use Cases | 4 hrs | Overview of AI/ML, historical context, UAE/GCC use cases, and toolkits |
| Day 2 | Supervised Learning Techniques | 4 hrs | Regression, classification, model evaluation, practical lab using real datasets |
| Day 3 | Unsupervised Learning & Clustering | 4 hrs | K-means, hierarchical clustering, dimensionality reduction, market segmentation |
| Day 4 | Neural Networks & Deep Learning | 4 hrs | Perceptrons, multilayer networks, CNNs and RNNs, image/text analysis |
| Day 5 | Generative AI & Emerging Trends | 4 hrs | Introduction to GANs, LLMs, generative models and ethical considerations |
| Day 6 | Industry Applications: Business, Healthcare, Finance | 4 hrs | Case studies applying AI to solve problems in diverse sectors |
| Day 7 | Capstone Project & Presentations | 4 hrs | Final team project presentations, peer review, expert feedback, and implementation planning |
Estimated Pricing
Program Investment
AED 15,000 per participant
1. Includes full access to sessions, materials, certification, and post-program resources
2. Group discounts and corporate packages available
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