Courses

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AI+ Nurse™

40 hours
Intermediate

Blending Human Touch with AI Intelligence. Patient-Centric AI Care: Designed for …

What you'll learn
The AI + Nurse certification program equips healthcare professionals with the essential skills to integrate artificial intelligence into nursing practice.
By focusing on AI technologies and their application in clinical settings, the certification prepares nurses to enhance patient care, optimize workflows, and improve decision-making.
The program covers AI fundamentals, data analytics, machine learning, and ethical considerations, enabling nurses to confidently leverage AI tools to advance patient outcomes.
With the growing role of technology in healthcare, the AI + Nurse certification provides a critical edge for nurses seeking to stay at the forefront of the evolving healthcare landscape.

AI+ Doctor™

40 hours
Intermediate

Redefining Healthcare with AI-Driven Diagnosis. Clinical Intelligence Focus: Designed for medical …

What you'll learn
The AI+ Doctor course is designed to provide healthcare professionals with a comprehensive understanding of the integration of artificial intelligence in clinical settings.
Covering AI's role in diagnostics, patient care, and workflow optimization, this course equips clinicians with the knowledge to implement and evaluate AI tools effectively.
Key topics include identifying department-specific use cases, integrating AI across patient care stages, evaluating AI performance, and ensuring regulatory compliance.
The course also emphasizes understanding algorithmic bias, improving transparency, and ensuring ethical AI use.
By the end, participants will be prepared to drive AI adoption, enhance clinical decision-making, and improve patient outcomes.

AI+ Healthcare Foundation™

24 hours
Intermediate

Transform Healthcare with a Strong Foundation in AI-Driven Innovation. Essential …

What you'll learn
Integrate AI into Healthcare Systems: Learners will learn how to embed AI tools into clinical and administrative workflows, and apply them to support safer, faster, and more efficient healthcare delivery.
Utilize Healthcare Data for Predictive Insights: Learners will develop the ability to use AI for data analysis and predictive modeling, supporting informed decision making across diagnostics, treatment planning, and operations.
Enhance Patient Care and Clinical Decisions: Learners will apply AI-driven approaches to improve diagnostic accuracy, personalize care pathways, and optimize interventions that directly impact patient outcomes.
Ensure Ethical and Responsible AI Adoption: Learners will grasp ethical, legal, and societal implications—such as bias, transparency, and privacy—to guide responsible, compliant use of AI in healthcare settings.
Lead AI-Driven Innovation in Healthcare: Learners will be equipped through hands-on practice and case studies to champion AI initiatives that drive innovation, improve performance, and transform healthcare organizations.

AI+ Healthcare Administrator™

24 hours
Intermediate

Transform Healthcare Management with Intelligent Administration. Operational Excellence: Learn how …

What you'll learn
Lead AI Initiatives in Healthcare: Learn to lead and oversee AI programs across clinical and administrative environments.
AI Implementation for Operations and Care: Develop the ability to apply AI tools to improve efficiency, patient care, and resource management.
Data-Driven Decision-Making: Grasp how to use data insights to strengthen planning, performance tracking, and executive decisions.
AI Project and Change Management: Equip yourself to manage AI-driven projects, coordinate stakeholders, and support adoption across teams.
Healthcare Systems Navigation: Learn to navigate complex healthcare structures and workflows to align AI with organizational goals.
Ethics, Compliance, and Regulation: Grasp ethical implications and regulatory requirements to apply AI responsibly and securely.
Digital Transformation Leadership: Develop the capability to drive AI adoption and innovation to advance healthcare administration outcomes.

AI+ Ethical Hacker™

40 hours
Expert

Protect Digital Landscapes: Harness AI-Enhanced Technologies. Tailored for budding ethical …

What you'll learn
AI Fundamentals and Applications: Learn how AI is transforming industries and business practices.
Prompt Engineering Skills: Develop the ability to interact effectively with AI systems.
AI Strategies in Legal Practices: Understand how AI optimizes workflows and operations in the legal field.
Ethics and Responsibility in AI: Grasp the challenges of bias, fairness, and ethical AI usage.
Hands-on Activities and Case Studies: Apply AI concepts through practical exercises and real-world scenarios.
Career Preparation in AI: Equip yourself with skills to thrive in an AI-driven professional environment.

AI+ Healthcare™

24 hours
Intermediate

Revolutionize Patient Care with Advanced AI. Healthcare Transformation: Learn how AI …

What you'll learn
The AI+ Healthcare certification program offers a comprehensive exploration of technologies like machine learning, deep learning, and neural networks within the healthcare domain.
These tools are utilized to enhance diverse areas including medical imaging, diagnostics, treatment planning, patient monitoring,and healthcare administration.
AI enhances diagnostic accuracy, tailors treatment strategies, and facilitates streamlined resource allocation.
Nonetheless, integrating AI into healthcare poses challenges concerning data integrity, privacy, ethical concerns, and regulatory adherence.
As AI continues to advance,it holds the potential for significant progress in patient care, predictive analytics, and operational efficacy within the healthcare industry.

AI+ Security Level 1™

40 hours
Intermediate

Empowering Cybersecurity with AI. Start your AI security journey with …

What you'll learn
Our comprehensive course, AI+ Security level 1 offers professionals a thorough exploration of the integration of AI and Cybersecurity.
Beginning with fundamental Python programming tailored for AI and Cybersecurity applications, participants delve into essential AI principles before applying machine learning techniques to detect and mitigate cyber threats, including email threats, malware, and network anomalies.
Advanced topics such as user authentication using AI algorithms and the application of Generative Adversarial Networks (GANs) for Cybersecurity purposes are also covered, ensuring participantsare equipped with cutting-edge knowledge.
Practical application is emphasized throughout, culminatingin a Capstone Project where attendees synthesize their skills to address real-world cybersecurity challenges, leaving them adept in leveraging AI to safeguard digital assets effectively.

AI+ Security Level 2™

40 hours
Intermediate

Protect and Secure: Leverage Intelligent AI Solutions. Transform your security …

What you'll learn
Our comprehensive course, Al+ Security Level 2 offers professionals a thorough exploration of theintegration of Al and Cybersecurity.
Beginning with fundamental Python programming tailored for Al and Cybersecurity applications, participants delve into essential Al principles before applying machine learning techniques to detect and mitigate cyber threats, including email threats, malware, and network anomalies.
Advanced topics such as user authentication using Al algorithms and the application of Generative Adversarial Networks (GANs) for Cybersecurity purposes are also covered, ensuring participants are equipped with cutting-edge knowledge.
Practical application is emphasized throughout, culminating in a Capstone Project where attendees synthesize their skills to address real-world cybersecurity challenges, leaving them adept in leveraging Al to safeguard digital assets effectively.

AI+ Security Level 3™

40 hours
Expert

Master the Future of Cybersecurity with AI-Driven Solutions. The AI+ …

What you'll learn
The Al+ Security Level 3 course provides a comprehensive exploration of the intersection between Al and cybersecurity, focusing on advanced topics critical to modern security engineering.
It covers foundational concepts in Al and machine learning for security, delving into areas like threat detection, response mechanisms, and the use of deep learning for security applications.
The course addresses the challenges of adversarial Al, network and endpoint security, and secure Al system engineering, along with emerging topics such as Al for cloud, container security, and blockchain integration.
Key subjects also include Al in identity and access management (IAM), IoT security, and physical security systems, culminating in a hands-on capstone project that tasks learners with designing and engineering Al-driven security solutions.