AI and Business Efficiency
£796, Now £399
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/ month for 4 months
What's included:
This is the essential AI Skills package that employers want to see on job applications and will get you employed faster. Here you'll learn how to rapidly streamline old processes and get tasks that used to take hours completed in minutes. Perfect for career changers that want to build up their AI Skills and work remotely. You will learn everything from the the basics of AI Prompting and how to gain an advantage in the work place to being able to leverage AI technologies to automate workflows, accelerate incident response, and scale cyber security operations.
Courses included:
Chat GPT and AI Fundamentals
AI Fundamentals for Business Professionals
AI in Operations Management
CompTIA SecAI+
All with 12 months access to allow you to plan your time at your own pace.
A better career and higher salaries from CompTIA
ChatGPT and AI Business Fundamentals
The ChatGPT and AI Business Fundamentals course will introduce you to the exciting world of AI Prompting and how you can use AI to help businesses streamline costs, save time and become more productive by covering the below:
- Roles of ChatGPT in the workplace
- Best practices for writing prompts
- How to extract information
- Using ChatGPT for blog articles, math problems, questions and more
- Understanding Machine Learning
Module 1 Chat GPT Fundamentals
Module 2 ChatGPT Prompt Demonstrations
AI Fundamentals for Business Professionals
The AI Fundamentals for Business Professionals course covers the key modules such as the role of AI in business, implementing AI strategies, optimizing marketing and sales efforts with AI tools, and understanding AI applications in human resources and finance. Each module will provide you with actionable insights and hands-on demonstrations, ensuring that you can apply what you’ve learned in real-world scenarios. By the end of the course, you will be equipped not only to understand AI but also to lead your organization in its AI journey, preparing you for the future of business in an increasingly digital landscape.
Course Objectives
Understand the basics of AI and its relevance in the business environment.
Identify the benefits and challenges of implementing AI in various business functions.
Develop an AI integration strategy tailored to your organization’s needs.
Utilize AI tools effectively for marketing, sales, human resources, operations, and finance.
Analyze the future implications of AI in business and society.
Demonstrate the ability to optimize business processes using AI-driven insights.
Modules 1 to 4
Introduction To AI For Business Professionals
01 Course Welcome
02 Instructor Introduction
03 Download Course Resources Module
1 – Introduction to AI in Business
1.1 Introduction to AI in Business
1.2 Understanding the Basics of AI
1.3 Exploring the Role of AI in Business
1.4 Identifying the Benefits of AI in Business
1.5 Whiteboard – How Does AI Actually Work?
1.6 Demonstration – Google Bard AI
Module 2 – Implementing AI in Business
2.1 Implementing AI in Business
2.2 Preparing Your Business for AI Integration
2.3 Whiteboard AI Strategy
2.4 Identifying the Best AI Tools for Your Business
Module 3 – AI for Marketing and Sales
3.1 Demonstration – Hacksocial AI
3.2 How AI Can Help Your Marketing and Sales Efforts
3.3 Exploring AI-Driven Customer Insights and Targeting
3.4 Examples AI Sales Tools
3.5 Optimizing Your Marketing and Sales Strategies with AI
3.6 Demonstration – RegieAI Sales Workflows Module
4 – AI Applications in Human Resources
4.1 AI Applications in Human Resources
4.2 Using AI for Talent Acquisition and Recruitment
4.3 Optimizing Performance Management with AI
4.4 Enhancing Employee Engagement with AI
4.5 Whiteboard – Resume Filtering with AI
Modules 5 to 8
Module 5 – AI for Operations and Supply Chain Managemen
5.1 AI for Operations and Supply Chain Management
5.2 How AI Can Improve Your Operations and Supply Chain Management
5.3 Exploring AI-Driven Predictive Maintenance and Quality Control
5.4 Optimizing Your Operations and Supply Chain Strategies with AI
Module 6 – AI for Finance and Accounting
6.1 AI for Finance and Accounting
6.2 How AI Can Streamline Your Finance and Accounting Processes
6.3 Exploring AI-Driven Fraud Detection and Risk Management
6.4 Personal Finance AI Applications
6.5 Optimizing Your Finance and Accounting Strategies with AI
6.6 Demonstration – Using Bing AI Chatbot for Personal Finance
Module 7 – The Future of AI in Business
7.1 The Future of AI in Business
7.2 Latest Developments in AI Technology
7.3 Implications of AI for Business and Society
7.4 Discussion – Developing an AI Strategy
Module 8 – Course Conclusion
8.1 Course Review
8.2 Course Conclusion
AI and Operations Management
The AI and Operations Management course will allow you to engage with real-world case studies and demonstrations, including hands-on experiences with tools like ChatGPT and Google Gemini. By the end of this course, you will not only understand the fundamental concepts of AI and operations management but also be able to implement AI-driven strategies to improve efficiency and decision-making in your organization. Whether you are looking to advance your career, enhance your skill set, or prepare for IT certification, this course provides a robust foundation for success in the evolving landscape of operations management.
Course Objectives
Understand the fundamentals of operations management and the role of AI in enhancing operational efficiency.
Explore AI techniques for supply chain optimization and their practical applications.
Learn about predictive maintenance and the benefits of AI in maintenance planning.
Master demand forecasting methodologies and the future of AI in this area.
Analyze AI applications in quality control and workforce management.
Identify emerging AI technologies and their potential impacts on operations management.
Discuss challenges and considerations in AI adoption within operations.
Modules 1 to 3
Course Introduction
1 Course Welcome
2 Why AI is Important for Ops Management
3 Download Course Resources
Module 1 – Introduction to AI and Operations Management
1.1 Module One Overview
1.2 Operations Management Fundamentals
1.3 Overview of AI and Its Importance
1.4 The Intersection of AI and Operations Management
1.5 Challenges and Considerations in AI Operations
1.6 Module One Review Module
2 – AI for Supply Chain Optimization
2.1 Module Two Overview
2.2 Traditional VS AI-powered Supply Chain Management
2.3 AI Techniques for Supply Chain Optimization
2.4 Demonstration – Use ChatGPT for Supply Chains
2.5 Case Study in AI-powered Supply Chain Optimization
2.6 Module Two Review Module
3 – Predictive Maintenance with AI
3.1 Module Three Overview
3.2 Introduction to Predictive Maintenance
3.3 AI-powered Predictive Maintenance Techniques
3.4 Implementing AI for Predictive Maintenance
3.5 Benefits of AI-powered Predictive Maintenance
3.6 Demonstration – Use Google Gemini for Predictive Maintenance Planning 3.7 Module Three Review
Modules 4 to 6
Module 4 – AI for Demand Forecasting
4.1 Module Four Overview
4.2 Fundamentals of Demand Forecasting
4.3 AI Techniques for Demand Forecasting
4.4 The Future of AI in Demand Forecasting
4.5 Demonstration – Use ChatGPT for Demand Forecasting
4.6 Use Cases of AI in Demand Forecasting Across Various Industries
4.7 Module Four ReviewModule
5 – AI for Quality Control and Workforce Management
5.1 Module Five Overview
5.2 Quality Control Basics
5.3 AI In Quality Control
5.4 AI-powered Workforce Management
5.5 Case Study in AI-powered Quality Control
5.6 Module Five Review Module
6 – Future Trends and Challenges of AI in Operations Management
6.1 Module Six Overview
6.2 Emerging AI Technologies and Their Impacts on Operations Management
6.3 Challenges in AI Adoption
6.4 The Future of AI in Operations Management
6.5 Module Six Review
6.6 Course Closeout
CompTIA SecAI+
The CompTIA SecAI+ course equips learners with the essential knowledge and skills needed to navigate the intersection of artificial intelligence and cybersecurity. As AI technologies become increasingly integrated into security frameworks, understanding how to secure AI systems and leverage AI for security purposes has never been more critical.
This course covers foundational AI concepts, the security challenges associated with AI systems, and the governance and compliance aspects of AI in cybersecurity. Through a blend of theoretical insights and practical demonstrations, students will gain a robust understanding of how AI can enhance security measures while identifying and mitigating potential risks.
Course Objectives:
Understand the basic concepts of AI as they relate to cybersecurity.
Identify various types of AI and their applications in security.
Learn threat modeling techniques specific to AI systems.
Implement security controls and access management for AI systems.
Utilize AI tools for enhanced security automation and incident response.
Examine governance structures and compliance requirements related to AI.
Assess AI-related risks and develop strategies for effective risk management.
Modules 1 - 2
CompTIA SecAI+ (CY0-001)
1.0 : Basic AI Concepts Related to Cybersecurity
1.1 Types of AI
1.2 Demo – Generative AI vs Traditional Search
1.3 Module Training Techniques
1.4 Demo – Examining Machine Learning
1.5 Prompt Engineering
1.6 Demo – Examining Prompt Engineering Techniques
1.7 Data Processing Security in AI
1.8 Demo – Examining NLP and Language Models
1.9 Data Security in AI
1.10 Demo – Examining Fine-Tuning Concepts
1.11 Examining Security and the AI Lifecycle
1.12 Demo Examining Data Cleansing with AI
1.13 Module Overview CompTIA SecAI+ (CY0-001)
Module 2.0 : Securing AI Systems and Module Overview
2.1 Threat-Modeling AI Systems
2.2 Demo Threat-Modeling AI Systems
2.3 Security Controls in AI Systems
2.4 Demo – Using Prompt Template for Security Control
2.5 Access Control in AI Systems
2.6 Data Security Controls in AI Systems
2.7 Demo Data Minimization with Sensitive Information
2.8 Monitoring and Auditing for AI Systems
2.9 Attack Evidence in AI Systems
2.10 Demo Model Poisoning in AI Systems
2.11 Compensating Controls in AI Systems
2.12 Demo Implementing Compensating Controls in AI
2.13 Module Summary
Modules 3 to 4
Module 3.0 : AI Assisted Security
3.1 Examining AI-enabled Tools for Security
3.2 Demo – AI-Assisted Threat Categorization
3.3 AI Attack Vector Enablement
3.4 Demo – AI-Assisted Reconnaissance Acceleration
3.5 AI Security Automation
3.6 Demo – AI-Assisted Incident Report Summarization
3.7 Module Summary CompTIA SecAI+
Module 4.0 : AI Governance, Risk, and Compliance
4.1 Organizational Governance Structures Supporting AI
4.2 Demo – AI Decision Authority Mapping
4.3 Examining AI-related risks
4.4 Demo – Internal Policy vs. External Law Conflict
4.5 Examining the Compliance Impact of AI
4.6 Demo – NIST AI RMF Lifecycle Mapping
4.7 Module Summary
4.8 Course Outro
All delivered through our world class learning portal
Navigation and Controls
Our self paced training programmes allow you to study anywhere at any time. Pause, Rewind and play as many times as you like with 24 hour access.
Expert instructor led training
Our instructors are experts in the IT industry with a minimum of 15 years real world experience backed with many certifications in their subject of expertise
Visual demonstrations and multimedia presentations
Expert-led demonstrations and content rich presentations allow ITcertify students to develop their skills based on real world scenarios
Quizzes and exam simulators
Custom made practice exams reflect progress you have made throughout the course. Practice quizzes after each module build your confidence before moving to the next level.
Flash cards and educational games
ITcertify understand every student is unique and learns at a different pace. Our Flashcards and Educational Games are engineered to keep you engaged and 100% focused by providing a bit more fun to learning.
