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AI+ Engineer™

AI+ Engineer™

AI Development

Course Description

This certification offers a structured journey through AI, covering foundational principles, neural networks, LLMs, NLP, and Transfer Learning. Participants gain hands-on experience in developing AI solutions and deploying them with sophisticated GUIs, preparing them to tackle real-world AI challenges effectively.

Track:

Technical

AI+ Ethical Hacker™

AI+ Ethical Hacker™

AI Security

Course Description

This program explores the intersection of cybersecurity and AI, focusing on AI's impact on digital offense and defense strategies. Participants learn to harness AI for ethical hacking, mastering the fusion of AI methods with cybersecurity practices to navigate the evolving digital landscape.

Track:

Technical

AI+ Security™

AI+ Security™

AI Security

Course Description

This comprehensive certification explores the integration of AI with cybersecurity, starting with Python programming tailored for AI applications in cybersecurity. Participants learn essential AI principles and apply machine learning to detect and mitigate threats like malware and network anomalies. Advanced topics include AI-based user authentication and the use of Generative Adversarial Networks (GANs) for cybersecurity. The course emphasizes practical application, culminating in a Capstone Project, equipping participants to effectively leverage AI to safeguard digital assets in real-world scenarios.




Track:

Technical

AI+ Quantum™

AI+ Quantum™

AI Data and Robotics

Course Description

This course delves into AI and Quantum Computing, covering quantum gates, circuits, and algorithms applied to AI. Participants explore Quantum Machine Learning and Quantum Deep Learning, examining ethical implications and current trends through real-world case studies and hands-on workshops.

Track:

Technical

AI+ Robotics™

AI+ Robotics™

AI Data and Robotics

Course Description

This certification explores the integration of AI and Robotics, from foundational concepts to advanced deep learning and reinforcement learning algorithms. The program covers autonomous systems, intelligent agents, and generative AI, with practical skills honed through hands-on activities and real-world case studies. Ethical considerations and policy frameworks are also addressed, ensuring responsible innovation. Participants will gain both theoretical knowledge and practical expertise, preparing them to lead in the evolving AI and Robotics landscape.

Track:

Technical

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