Cybersecurity & A.I. Practices Mastery for Business Resilience

Overview

This boot camp equips participants with essential skills to integrate cybersecurity and AI-driven solutions to enhance business resilience. It is designed for technical and non-technical professionals; the program focuses on foundational practices, compliance standards, and practical applications for safeguarding operations, enhancing productivity, and responsibly leveraging automation and AI. Participants will learn to securely mitigate risks, streamline workflows, and optimize team collaboration and customer interactions. 

Bootcamp Highlights

• Duration: 35 Hours (10 hours in-person, 15 hours live-virtual, 10 hours asynchronous) to provide a comprehensive yet flexible learning experience tailored for busy professionals. 
  • Asynchronous Online Training  
    Learners can complete learning modules at their own pace and schedule. Our resources include videos, reading materials, quizzes, and pre-recorded webinars. 
  • Hybrid Training 
    A portion of the course is delivered asynchronously online, and a portion is provided by our in-person experts. 
  • In-Person On-Site Training 
    Logics Technology will deliver in-person training at your offices, allowing for direct interaction. 
• Balanced Learning Approach: Combines interactive in-person workshops for hands-on training with self-paced asynchronous modules to explore key concepts and strategies. 
• Comprehensive Focus: Covers foundational and practical knowledge in cybersecurity, automation, and AI applications tailored to enhance business resilience. 
• Hands-On Practice: Create and implement actionable tools such as risk assessments, automated workflows, AI-enhanced productivity, and secure data management processes. 
• Strategic Application: 
  • Learn to mitigate cybersecurity threats and AI-specific risks. 
  • Align business processes with compliance standards, including PIPEDA and GDPR. 
  • Incorporate ethical AI practices into workflows and governance frameworks. 
• Real-World Insights: Analyze industry-relevant case studies to understand the practical applications of cybersecurity and AI for addressing modern business challenges. 
• Actionable Results: Leave with practical outputs, including AI-driven workflows, compliance checklists, risk management strategies, and secure collaboration frameworks that can be immediately applied in your organization. 

Course Outline

Day 1: Cybersecurity and Automation Foundations (In-Person, 5 Hours) 

Morning Session (2.5 Hours): Cybersecurity Threats and Risk Assessment 

• Learning Objectives: 
  • Understand key cybersecurity threats (e.g., phishing, ransomware, malware) and their impact on businesses. 
  • Learn practical techniques for assessing vulnerabilities and prioritizing risks. 
• Activities: 
  • Case Study: Analyze a real-world phishing or ransomware incident to identify vulnerabilities and strategies for prevention. 
  • Workshop: Conduct a hands-on risk assessment for a business scenario. 
• Output: Completed risk assessment worksheet tailored to organizational needs. 

Afternoon Session (2.5 Hours): Leveraging Automation for Business Productivity 

• Learning Objectives: 
  • Understand how automation can improve efficiency by reducing repetitive manual tasks. 
  • Design and implement workflows to streamline business processes. 
• Activities: 
  • Case Study: Review a real-world scenario where automation improved productivity. 
  • Workshop: Build and test an automated workflow for a repetitive business task. 
• Output: Functional automated workflow designed to improve productivity. 

Day 2: AI Applications and Ethical Risk Management (In-Person, 5 Hours) 

Morning Session (2.5 Hours): AI Tools for Daily Business Productivity 

• Learning Objectives: 
  • Understand how AI tools can enhance individual and team productivity. 
  • Use AI tools for task prioritization, scheduling, and team collaboration. 
• Activities: 
  • Case Study: Explore examples of AI tools enhancing business workflows. 
  • Workshop: Design a customized AI-driven workflow to improve teamwork and collaboration. 
• Output: Customized AI-driven workflow tailored to participants' roles. 

Afternoon Session (2.5 Hours): Managing AI Risks and Compliance 

• Learning Objectives: 
  • Identify risks associated with AI adoption, such as biases and compliance challenges. 
  • Develop strategies to mitigate AI-specific risks and ensure compliance with standards like GDPR and PIPEDA. 
• Activities: 
  • Case Study: Analyze an AI misuse scenario and its business impact. 
  • Workshop: Create a practical AI risk mitigation plan for a business use case. 
• Output: AI risk mitigation and compliance plan for immediate implementation. 

Live-Virtual Training (15 Hours) 

Session 1 (3 Hours): Cybersecurity Fundamentals and Compliance 

• Focus: Establish a foundation in cybersecurity threats and compliance frameworks. 
• Activities: 
  • Interactive Discussion: Explore key threats like phishing, malware, and ransomware. 
  • Exercise: Develop a cybersecurity readiness checklist for organizational use. 
• Output: Personalized cybersecurity readiness checklist. 

Session 2 (3 Hours): Fundamentals of AI and Automation 

• Focus: Differentiate between automation and AI concepts and identify use cases for business. 
• Activities: 
  • Demo: Explore AI tools, including machine learning, NLP, and predictive analytics. 
  • Exercise: Identify AI tools relevant to participants' roles and propose practical use cases. 
• Output: AI application plan tailored to specific business needs. 

Session 3 (3 Hours): Automation for Business Workflows 

• Focus: Apply automation tools to streamline business operations. 
• Activities: 
  • Workshop: Design, build, and test automation workflows for predefined tasks. 
• Output: Fully developed and tested workflow applicable to business operations. 

Session 4 (3 Hours): AI for Task Management and Collaboration 

• Focus: Use AI tools to improve scheduling, task management, and team collaboration. 
• Activities: 
  • Live Demo: Implement AI-based tools for task and team management. 
  • Workshop: Customize and configure workflows to enhance team productivity. 
• Output: Configured AI-driven task management and collaboration system. 

Session 5 (3 Hours): Ethical AI Implementation 

• Focus: Develop governance frameworks for ethical and responsible AI adoption. 
• Activities: 
  • Discussion: Address ethical challenges like AI bias, transparency, and accountability. 
  • Workshop: Draft a governance framework for ethical AI use in business processes. 
• Output: Ethical AI policy document and governance checklist. 

Asynchronous Modules (10 Hours) 

Module 1 (2 Hours): Cybersecurity Best Practices and Compliance 

• Focus: Develop secure workflows aligned with compliance standards. 
• Activities: Tutorials, quizzes, and self-assessment exercises. 
• Output: Secure data management plan. 

Module 2 (2 Hours): AI Fundamentals 

• Focus: Build foundational knowledge of AI tools and principles. 
• Activities: Identify relevant AI tools and map their applications to business tasks. 
• Output: AI implementation plan. 

Module 3 (2 Hours): Practical Automation for Workflows 

• Focus: Reinforce automation concepts by designing and testing workflows. 
• Activities: Develop and refine workflows for specific tasks. 
• Output: Tested automation workflows. 

Module 4 (2 Hours): AI Risk and Compliance Case Studies 

• Focus: Analyze real-world scenarios of AI risks and compliance challenges. 
• Activities: Review and extract practical lessons from case studies. 
• Output: Compliance and risk recommendations. 

Module 5 (2 Hours): Case Studies in AI and Cybersecurity 

• Focus: Learn from successful and failed implementations of AI and cybersecurity. 
• Activities: Analyze industry case studies and extract actionable insights. 
• Output: Insights report with recommendations for resilience. 

By the End of This Boot Camp, Participants Will: 

1. Understand foundational cybersecurity concepts, including identifying and mitigating common threats like phishing, ransomware, and malware. 

2. Gain practical skills to create automated workflows and implement AI tools that enhance productivity and streamline daily business operations. 

3. Learn to assess and manage AI-specific risks, such as biases and adversarial threats, while aligning with compliance frameworks like PIPEDA and GDPR. 

4. Develop ethical AI policies and governance frameworks to ensure responsible AI adoption in business processes. 

5. Leave with actionable outputs, including risk assessments, secure data management workflows, AI-driven collaboration systems, and compliance-ready checklists that they can immediately apply in their organization

Delivery Methods