“Artificial Intelligence & Cybersecurity Micro-credentials”
Advanced C/C++: Vulnerabilities,
Exploits & Countermeasures
Exploits & Countermeasures
- Identifying vulnerabilities in low-level programs
- Applying secure programming techniques
- Implementing methods to prevent exploits
Advanced Malware Analysis and
Reverse Engineering
Reverse Engineering
- Identifying structure and behavior of malware
- Conducting static and dynamic analysis
- Using tools to reverse engineer malicious code
Advanced Monitoring
the Network
the Network
- Using monitoring tools to assess network health
- Analyzing performance metrics and traffic patterns
- Detecting unusual activity and potential threats
Advanced Network
Defense A
Defense A
- Applying multi-layered security defenses
- Strengthening overall security posture
- Reducing risks through attack surface analysis
Advanced Networking and
Cybersecurity
Cybersecurity
- Configuring advanced routing and switching
- Identifying and mitigating network threats
- Managing firewalls, IDS, and IPS
Advanced Programming
A Project
A Project
- Designing and planning software applications
- Developing functional project-based systems
- Writing secure and maintainable program code
Advanced Python
Security
Security
- Applying secure coding principles in Python
- Detecting weaknesses and vulnerabilities
- Creating automation scripts for security tasks
Agentic AI for
Business Leaders
Business Leaders
- Developing strategies for AI integration in organizations
- Automating workflows to improve productivity
- Using AI tools to enhance decision-making
AI Agents for Financial
Data Analysis
Data Analysis
- Using AI tools for financial data insights
- Automating financial modeling and calculations
- Forecasting trends using machine learning
AI Marketing
Associate
Associate
- Using AI tools for digital marketing strategies
- Analyzing customer data for better engagement
- Automating marketing content and campaigns
Ethics and Social
Implications of AI
Implications of AI
- Understanding responsible development of AI systems
- Recognizing issues of fairness and transparency
- Evaluating the social impact of emerging technologies
Forensic
Cybersecurity
Cybersecurity
- Collecting and preserving digital evidence
- Examining and analyzing cyber incidents
- Preparing reports based on investigative findings
Introduction to
Cybersecurity 1
Cybersecurity 1
- Learning foundational cybersecurity concepts
- Recognizing common digital threats
- Applying basic online protection techniques
Introduction to
Cybersecurity 2
Cybersecurity 2
- Developing intermediate cybersecurity skills
- Understanding network defense techniques
- Monitoring systems for security events
Machine Learning
(ML)
(ML)
- Training machine learning models
- Applying supervised and unsupervised learning
- Preparing and organizing data for analysis
Quantum Computing
(QC)
(QC)
- Understanding fundamental quantum concepts
- Working with qubits and quantum logic
- Exploring how quantum systems affect security
Prompt Engineering
& Agent Orchestration
& Agent Orchestration
- Write effective prompts for information retrieval and content creation
- Understand generative AI limitations and biases
- Demonstrate critical thinking when evaluating AI-generated results
- Apply prompt engineering in academic, research, and business contexts
Agent Orchestration
in Finance
in Finance
- Learn how to coordinate AI agents for complex tasks
- Integrate multiple AI workflows in business scenarios
- Apply orchestration techniques for financial analysis
Neural Networks and
Deep Learning
Deep Learning
- Building and training deep neural networks
- Understanding architectures and backpropagation
- Applying deep learning to real-world problems
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