Cyber Security & Artificial Intelligence

Start: Jun 15, 2026
End: Jun 26, 2026
Venue: ESAMI HQ, Arusha, Tanzania
Format: Two weeks
Duration: 2 weeks
Statement of Need

The digital landscape has shifted; over 77% of security professionals believe AI is already being used to automate highly sophisticated attacks. Organizations now face autonomous malware and “deepfake” social engineering that bypasses human detection.

  • The Gap: There is a critical shortage of professionals who understand both the “hacker mindset” and the “data science” required to automate defenses.
  • The Solution: This course addresses the urgency for ESAMI’s regional stakeholders to adopt the NIST AI Risk Management Framework and deploy AI tools like TensorFlow, PyTorch, and ChatGPT, AI Agent to protect critical national and organizational infrastructure.
Who Attends

This course is specifically designed for:

  • IT & Security Professionals: Seeking upgrade to AI-driven workflows.
  • Data Scientists: Interested in applying machine learning to the domain of digital security.
  • Software Engineers: Looking to build secure, resilient AI-powered applications.
  • Security Managers & Analysts: Responsible for organizational risk and incident response strategy.
  • Law Enforcement & Intelligence Officers: Dealing with cybercrime and state-sponsored AI threats.
How participants will benefit
  • Future-Proofing Careers: Transition from traditional IT roles into high-demand AI Security Specialist positions.
  • Hands-on Labs: Focusing on real-world scenarios like phishing detection and DDoS defense.
  • Strategic Leadership: Gain the ability to advise boards and executive leadership on AI risks, ethics, and ROI on security investments.
Topics Include
  • Cybersecurity Frameworks: NIST & ISO standards in the age of AI.
  • Generative AI for Security: Using ChatGPT & Gemini for ethical hacking and prompt engineering.
  • Behavioral Analytics: Anomaly detection and identifying “insider threats.”
  • Python for Security: Automating port scans, malware analysis, and data preprocessing.
  • Threat Intelligence: Integrating AI with Splunk and Elasticsearch for real-time monitoring.
  • Deep Learning for Security: Building neural networks with TensorFlow and PyTorch.
  • Securing the Cloud: Implementing AI security in AWS GuardDuty and Microsoft Azure.
  • Adversarial AI: Understanding GANs (Generative Adversarial Networks) and model hardening.
  • AI Voice Cloning & Deepfakes: Defending against next-gen social engineering.
  • Ethics & Policy: Data bias, model vulnerabilities, and AI governance.
Fees

US$ 1600 to cover tuition and training materials only.