Description

The Certified Artificial Intelligence Professional course helps participants gain the knowledge and skills required to excel in AI related roles. The program includes a broad range of domains from foundational AI concepts to advanced applications like machine learning, deep learning, natural language processing, robotics, computer vision and expert systems. It also emphasizes responsible AI practices, including risk management, ethics, and compliance, ensuring participants are well-prepared to implement AI solutions in real-world scenarios.

The Certified Artificial Intelligence Professional course is your gateway to mastering the essential skills and knowledge needed to succeed in this fast changing field. This program goes beyond theoretical learning by equipping you with practical tools and real-world insights to design, deploy, and manage AI solutions effectively.

By attending this course, you will gain hands-on experience with advanced AI methodologies, including machine learning, deep learning and natural language processing. You will also explore a range of cutting-edge areas, while developing strategies for risk management and maintaining ethical standards. This unique combination of technical, strategic, and ethical expertise will make you a valuable asset to any organization pursuing AI initiatives.

Who is this training for ?

For whom ?

• AI Professionals actively involved in the development and implementation of AI technologies
• Experienced AI Practitioners seeking to enhance their knowledge, stay updated with the latest trends, and refine their leadership skills
• Data Scientists responsible for developing and optimizing AI models
• IT Managers overseeing AI projects and initiatives within their organizations
• AI Enthusiasts who aspire to advance into leadership roles, such as AI project managers or AI strategists
• Risk and Compliance Officers responsible for managing AI-related risks and ensuring compliance with regulations
• Executives, including CIOs, CEOs, and COOs, who play a crucial role in decision-making processes related to AI
• Professionals aiming for executive-level AI roles who need a comprehensive understanding of AI technologies and their applications

Prerequisites

A general understanding of basic programming knowledge is recommended.

Training objectives

Explain the foundational principles of AI and its various applications

Conduct data analysis and create meaningful visualizations to support AI projects

Apply machine learning techniques to real-world problems, including supervised, unsupervised, and reinforcement learning

Implement simple neural network and advanced deep learning architectures such as CNNs

Understand NLP systems and Computer Vision methodologies

Understand robotics and expert systems for AI-driven automation

Identify and mitigate AI risks while ensuring compliance with regulations

Develop ethical AI strategies aligned with organizational values and societal needs

Training program

• 1: Foundations of AI and Data Analysis
  • Introduction to the foundational principles of AI and its applications
  • Data analysis methodologies and creating meaningful visualizations
  • Understanding key challenges and best practices for AI projects
• 2: Machine Learning
  • Introduction to supervised, unsupervised, and reinforcement learning techniques
  • Developing and optimizing AI models for real-world problems
  • Practical case studies for applying machine learning
• 3: Deep Learning and Natural Language Processing
  • Implementation of simple neural networks and advanced architectures like CNNs
  • Introduction to Deep Learning and Natural Language Processing systems
  • Hands-on exercises for applying concepts to real-world projects
• 4: Computer Vision, Robotics, AI Strategy, Governance, and Risk Management
  • Introduction to computer vision systems and robotics for AI-driven automation
  • Developing ethical AI strategies aligned with organizational values
  • Identifying and managing AI-related risks and ensuring compliance