- Domain 1: Fundamental concepts and principles of artificial intelligence
- Domain 2: Data analysis and Visualization
- Domain 3: Building Machine Learning models
- Domain 4-5: Concepts of Deep Learning and NLP
- Domain 6-7-8: Knowledge and application of Computer Vision, Robotics and Expert Systems
- Domain 9: AI Risk, Privacy and Compliance
- Domain 10: AI Ethics, Governance , Strategy
- Certification and examination fees are included in the price of the training course.
- Participants will be provided with training course materials containing over 400 pages of information, practical examples, exercises, and quizzes.
- An attestation of course completion worth 31 CPD (Continuing Professional Development) credits will be issued to the participants who have attended the training course.
- Candidates who have completed the training course but failed the exam are eligible to retake the exam once for free within a 12 month period from the initial date of the exam.
Why Should You Attend?
- Understand and navigate the latest AI trends and technologies.
- Build and optimize AI systems that drive innovation.
- Address critical challenges such as AI bias, privacy concerns, and compliance.
- Strategically align AI solutions with organizational goals to maximize value.
Educational approach
- Comprehensive Curriculum: The course combines theoretical knowledge with real-world examples to ensure participants gain both fundamental and advanced AI concepts.
- Practical Exercises: Hands-on activities and projects simulate real-life scenarios, enabling participants to apply their skills effectively.
- Interactive Learning: Group discussions and collaborative tasks for deeper engagement and shared learning experiences.
- Certification Readiness: The course includes quizzes and exercises that closely align with the certification exam format.