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Course overview
Course fees – £295
Artificial Intelligence (AI) is rapidly becoming a major force in the modern workplace, transforming how businesses operate across nearly every industry. From automating routine tasks to improving decision-making through data analysis, AI is helping companies boost efficiency, reduce costs, and stay competitive. Tools like chatbots, predictive analytics, and AI-driven platforms are being used in fields such as customer service, marketing, finance, healthcare, and manufacturing.
As AI becomes more integrated into daily operations, it is increasingly important for workers to understand how to use it effectively. Rather than replacing humans entirely, AI is often used to augment human skills—allowing employees to focus on more complex, creative, or strategic work. However, this shift also means that digital literacy and adaptability are becoming essential skills in the job market.
Learning to use AI tools can enhance productivity, open up new career opportunities, and help individuals stay relevant in a rapidly changing technological landscape. Whether it’s mastering AI-enhanced software, understanding data-driven insights, or collaborating with AI systems, being comfortable with AI is no longer optional—it’s a necessary part of career development in the modern era. Embracing this change early can give professionals a significant advantage in the future of work.
Like what you just read? Guess what! It was written by AI. You too, can learn how to harness the power of AI. This course is aimed at beginners who want to master AI in the workplace to help them leverage these incredible tools and stay ahead of the curve. Don’t get left behind. Take this course and secure your future.
Study method
- Online
- Blended
- In-class
- Virtual
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Duration study load
The total time for the course is 12 hours and 29 mins. You will have full access to the course for 12 months.
Course features
- Covers beginner-level AI courses
- Video-based course material
- Course is accessible 24/7, 365 globally
- Accessible on any device
- Total duration: 12hrs 31mins
- No exams, no assessments
Subjects
Module 1 – Getting Started With AI
Module 1.1 Introduction To AI
Module 1.2 Understanding The Types of AI
Module 2 – Programming Languages, Tools and Platforms For AI Solutions
Module 2.1 AI and Programming Languages
Module 2.2 AI, Machine Learning and Deep Learning
Module 2.3 AI Models
Module 2.4 AI Services in the Cloud
Module 3 – Data Science Fundamentals for AI
Module 3.1 Introduction to Data Science
Module 3.2 Data Preparation Techniques
Module 3.3 Exploratory Data Analysis (EDA)
Module 4 – AI In the Modern Workplace
Module 4.1 AI In The Workplace
Module 4.2 Data Analysis and Business Intelligence AI Tools
Module 4.3 Automation and Workflow Management Tools
Module 4.4 Natural Language Processing (NLP) Tools
Module 4.5 Virtual Assistants and Chatbots
Module 5 – Ethical AI and Future Trends
Module 5.1 Understanding Bias, Fairness, Privacy, and Security
Module 5.2 Impact of AI on Jobs and Society
Module 5.3 Emerging Trends in AI
Module 5.4 AI Governance and Regulation
Module 6 – Monumental Leaps Forward With AI
Module 6.1 AI for Social Good
Module 6.2 AI in Creative Industries
Module 6.3 AI in Cybersecurity
Module 6.4 AI in Smart Cities and Infrastructure
Module 7 – AI Project Lifecycle Management
Module 7.1 AI Project Lifecycle Management
Module 7.2 Development and Implementation
Module 7.3 Maintenance, Evaluation, and Scaling
Module 8 – AI Fundamentals Course Closeout
Module 8.1 Course Closeout
Module 1 – ChatGPT Fundamentals
1.1 Course Welcome
1.2 Instructor Introduction
1.3 Download Course Resources
1.4 ChatGPT Fundamentals
1.5 What is ChatGPT
1.6 Use Cases for ChatGPT
1.7 Role of ChatGPT
1.8 Future of ChatGPT
1.9 ChatGPT Statistics, Facts & Trends
1.10 Limitations
1.11 What is a Chatbot
1.12 Understanding AI-ML
1.13 Demonstration – Tools to Use with ChatGPT
1.14 Business Benefits
1.15 Whiteboard – How it all works
1.16 Demonstration – How to Get Started with ChatGPT
1.17 Demonstration – Example Prompts
1.18 Discussion – ChatGPT Performance Issues
1.19 Module Summary
Module 2 – ChatGPT Prompt Demonstrations
2.1 ChatGPT Prompt Demonstrations
2.2 What is a Prompt
2.3 Best Practices For Writing Prompts
2.4 Prompt Demonstration – Asking Questions
2.5 Prompt Demonstration – Top Ten Lists
2.6 Prompt Demonstration – Long Form Docs
2.7 Prompt Demonstration – Complex Form and Code
2.8 Prompt Demonstration – Feedback
2.9 Prompt Demonstration – Content Modification
2.10 Prompt Demonstration – Instruction Generation
2.11 Prompt Demonstration – Information Extraction
2.12 Prompt Demonstration – Writing Computer Code
2.13 Prompt Demonstration – Solving Math Problems
2.14 Prompt Demonstration – Create YT Video Outline
2.15 Prompt Demonstration – Write a Blog Article
2.16 Prompt Demonstration – SEO Keywords
2.17 Comparing Google Bard vs ChatGPT
2.18 Module Summary
2.19 Course Closeout
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 in 2023
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
Module 5 – AI for Operations and Supply Chain Management
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 Closeout
8.1 Course Closeout
8.2 Course Review
8.3 Course Closeout
Course Introduction – AI in Talent Management
01 Course Introduction
02 Instructor Introduction
Module 1: Introduction to AI in Talent Management
1.1 Introduction to AI in Talent Management
1.2 Understanding AI in Talent Management
1.3 Leveraging AI for Candidate Sourcing
1.4 Ethical Considerations of AI in Hiring
Module 2: AI-Powered Sourcing and Screening
2.1 AI-Powered Sourcing and Screening
2.2 AI-driven Candidate Search Engines
2.3 Demonstration RecruiterGPT
2.4 Automated Resume Screening and Skills Assessment
2.5 Whiteboard – Workflow – How Resume Screening Works
2.6 Chatbots and Conversational AI in Recruitment
Module 3: AI-Enhanced Interviewing and Selection
3.1 AI-Enhanced Interviewing and Selection
3.2 Video Interviews and Behavioral Analytics
3.3 Predictive Analytics and Hiring Decisions
3.4 Explainable AI and Building Trust in Hiring
Module 4: AI-Powered Upskilling and Development
4.1 AI-powered Upskilling and Development
4.2 Identifying Skills Gaps and Upskilling Needs
4.3 Personalized Learning and AI-powered Learning Platforms
4.4 Microlearning and Adaptive Learning with AI
Module 5: Implementing AI in Your Talent Acquisition Strategy
5.1 Implementing AI in Your Talent Acquisition Strategy
5.2 Evaluating AI Solutions for Your Organization
5.3 Integrating AI with Existing Talent Acquisition Processes
5.4 Change Management and Building a Culture of AI in Recruitment
Module 6: The Future of AI in Talent Management
6.1 The Future of AI in Talent Acquisition
6.2 Emerging Trends and Innovations in AI-powered Talent Acquisition
6.3 Building a Sustainable Talent Pipeline with AI
6.4 The Enduring Role of Humans in Talent Management
6.5 Course Summary
6.6 Course Closeout
Module 1 – Introduction to AI and Data Privacy
1.1 Introduction to AI and Data Privacy
1.2 The relationship Between AI and Data Privacy
Module 2 – How AI Technologies Handle and Protect Data
2.1 How AI Technology Handle and Protects Data
2.2 Real World Examples of AI Systems with Robust Privacy Measures
Module 3 – Understanding the Risks of AI and Data Privacy
3.1 Understanding the Risks of AI and Data Protection
3.2 Real World Cases Where AI Systems Mishandled Personal Data
Module 4 – Regulations & Best Practices for Ethical AI Data Privacy
4.1 Regulations and Legal Frameworks for AI and Data
4.2 Best Practices for Ethical AI Data Privacy
4.3 – Role of Governments and Organizations in E
4.4 – Recap and Course Closeout
Module 1 – Introduction to Generative AI
1.1 What Is Generative AI
1.2 – History and Evolution
1.3 – Where is Generative AI Being Used
1.4 – Ethical Considerations
Module 2 – Understanding the Foundations
2.1 Generative AI – Recap
2.2 Exploring Large Language Models (LLMs)
2.3 Accessing and Using LLMs
2.4 Prompt Engineering
2.5 – Embeddings and Fine-Tuning
Module 3 – Generative AI Tools
3.1 – Explore ChatGPT – Features & Capabilities
3.2 – Text Generation with ChatGPT
3.3 – Image and Art Generation with AI
3.4 – Fine-Tuning LLMs for Specific Needs
3.5 How to Fine-Tune a Large Language Model (LLM)
Module 4 – Generative AI in Context
4.1 Generative AI Applications in Software Development
4.2 Applications of Generative AI in Retail
4.3 Applications of Generative AI in Marketing
Module 5 – The Future of Generative AI
5.1 Trends and Innovations
5.2 Careers in Generative AI_ Opportunities and Pathways
5.3 Popular Generative AI Tools
5.4 Course Closing: The Future is AI-Powered
Introduction – Responsible Automated Intelligence Ethics
Course Welcome
Instructor Introduction
Module 1: Introduction to AI Ethics
1.1 Introduction to AI Ethics
1.2 Understanding AI Ethics
1.3 Ethical Frameworks and Principles in AI
1.4 Ethical Challenges
1.5 Whiteboard – Key Principles of Responsible AI
Module 2: Responsible AI Development
2.1 Responsible AI Development – Introduction
2.2 Responsible AI Development – Continued
2.3 Bias and Fairness in AI
2.4 Transparency in AI
2.5 Demonstration – Microsoft Responsible AI
2.6 Accountability and Governance in AI
Module 3: Privacy and Security with AI
3.1 Privacy and Security in AI
3.2 Data Collection and Usage
3.3 Risks and Mitigation Strategies
3.4 Ethical Data Management in AI
3.5 Demonstration – Examples of Privacy EUL
Module 4: Social and Ethical Impacts of AI
4.1 Social and Ethical Impacts of AI
4.2 Automation and Job Displacement
4.3 AI and Social Good
4.4 Demonstration – ChatGPT
4.5 Demonstration – Bard
Module 5: Policy Development
5.1 Policy Development
5.2 Ethical AI Leadership Culture
5.3 Ethical AI Policy Elements
5.4 Ethical AI in a Changing Landscape
5.5 Course Review
5.6 Course Closeout
Module 1 – AI and the Workforce Transformation
1.1 – The Future of Work with AI Intro
1.2 – The Evolution of Work
1.3 – AI’s Impact on Job Roles
1.4 – Emerging Job Roles in the Age of AI
Module 2 – Skills for the AI-Driven Economy
2.1 – The Importance of Adaptability and Lifelong Learning
2.2 – Technical Skills and AI Literacy
2.3 – Critical Soft Skills in the AI Era
2.4 – The Role of Data in AI-Driven Decision Making
Module 3 – Preparing for AI-Driven Changes in the Workplace
3.1 – Organizational Strategies for AI Integration
3.2 – Workforce Reskilling and Upskilling
3.3 – The Role of Leadership in AI Transition
3.4 – Ethical Considerations and Workforce Well-being
Module 4 – Case Studies and Course Wrap-Up
4.1 – Practical AI Case Studies
4.2 – Developing a Personal or Organizational AI-Readiness
4.3 – In Closing, Embrace, Not Fear AI
About Hudson
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The Hudson online courses, certifications, and diplomas are highly effective, offering a whole range of features designed to get you certified faster. Some of these incredible features include video and audio based training so you can see and hear your tutor, 24/7 online tutor support, and online labs to practice your skills in a simulated environment.
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