AI Business Foundation – Essential AI Knowledge for Professionals
Discover key AI concepts, workflows, and ethics tailored for non-technical professionals. Explore case studies across industries and master tools like Power BI and Tableau to make data-driven decisions. Build confidence to lead and support AI initiatives effectively.
- Lay the groundwork for integrating AI into business strategies.
- Use AI for market analysis, customer insights, and process automation.
- Develop strategic decision-making skills powered by AI-driven data.
- Complete a hands-on project to design an AI-driven process optimisation plan.
- Course duration: 4 weeks
- Become a Certified AI Business Foundations Specialist.
AI Business Foundation Course
AI Business Foundations Course Overview
- Comprehensive Curriculum – Covers AI fundamentals, industry applications, data management, ethics, and AI-driven business intelligence.
- Industry Case Studies – Explore AI’s impact across retail, healthcare, finance, and other sectors through real-world examples.
- Data Management & Ethics – Understand data types, collection methods, quality assurance, and ethical considerations in AI implementation.
- AI Tools & Visualization – Gain hands-on experience with Power BI and Tableau to create AI-driven dashboards and track key business metrics.
AI Business Foundations Course Outline
Module 1: Basics of AI and ML for Non-Technical Professionals
- Simplify AI concepts: AI, ML, DL, and Data Science.
- Understand AI categories and workflows.
- Learn AI’s capabilities and limitations for informed decisions.
Module 2: Case Studies: AI Transforming Industries
- Retail: Personalized recommendations, inventory management.
- Healthcare: Predictive diagnostics, patient engagement.
- Finance: Fraud detection, algorithmic trading.
- Explore emerging AI applications in energy, education, and more.
Module 3: Understanding Data: Sources, Quality, and Usage
- Discover structured, unstructured, and semi-structured data.
- Learn effective data collection and ensure quality.
- Address privacy and ethical considerations in data use.
Module 4: AI Ethics: Fairness, Bias, and Societal Impact
- Analyze real-world AI bias and its consequences.
- Explore mitigation techniques and ethical frameworks.
- Understand AI’s broader societal impact.
Module 5: Introduction to Tools: Power BI and Tableau
- Build dashboards and visualize data effectively.
- Use AI-driven insights for strategic decision-making.
- Track key metrics and KPIs for business success.
- Location – Leeds, UK
- Duration – 10 Days
- Timing – 9:00 to 17:00
- Price – £4010
- Duration – 10 Days
- Timing – 9:00 to 17:00
- Price – £3660
What’s Included in the AI Business Foundations Course:
- Flexible Learning / Flexible Delivery
- Self-paced online modules with interactive content.
- Live expert-led sessions for real-time discussions and Q&A.
- Exam Preparation
- Practice assessments and mock exams.
- Detailed review sessions covering key concepts and exam strategies.
- Certification
- Official AI Business Foundations certification upon successful completion.
- Globally recognized credential to enhance career prospects.
Prerequisites for AI Business Foundations Course
- Basic Understanding of Business Concepts
- Familiarity with business operations, decision-making processes, and KPIs.
- No Technical Background Required
- Designed for non-technical professionals; no prior coding or AI knowledge is necessary.
- Interest in AI-Driven Innovation
- A keen interest in leveraging AI for business growth and transformation.
- Access to a Computer and Internet
- To participate in hands-on exercises with tools like Power BI and Tableau.
- Analytical Mindset
- Willingness to engage with data-driven insights and business scenarios.
Each participant of this course will have to attend and pass one project and one exam to complete the module and attain the certification.
Module Project (50%)
- Duration: Throughout the course
- Type: Practical project based on the contents of the module- AI-Based Business Strategy Proposal
- Problem Identification: Selecting a business area for AI integration.
- Competitive Analysis: Studying AI use in similar industries.
- Drafting a Proposal: Objectives, ROI estimation, and resource requirements.
- Pass mark: 65%
Certification Exam (50%)
- Duration: 60 minutes
- Type: 40 multiple choice questions
- Pass mark: 65% (26/40)