Participants learn how AI tools, predictive analytics, and machine learning insights can improve operational performance, optimise resources, and inform long-term planning. The course emphasises practical, non-technical applications of AI, showing how human judgment and leadership remain central even in data-driven environments. Through hands-on exercises, case studies, and real-world scenarios, managers gain the confidence to identify AI opportunities, interpret AI-generated insights, and lead teams effectively in AI-enabled workplaces.
AI-Driven Decision Making for Managers
This course equips managers with practical skills to understand AI, evaluate AI-generated insights, apply AI tools, manage risks, and integrate artificial intelligence into everyday and strategic decision-making.
Free
START DATE
Available Now
DURATION
4 Weeks / 12 hours
LEARNING MODE
Flexible Self-Paced
4 MODULES
Navigate AI-Powered Decisions
Course fee
£28.50
About Course
AI for Confident Leadership and Decision-Making
Course structure · 4 Weeks · 8 lessons
Foundations of AI-Driven Decision Making2 lessons · 1 quiz
PPT - Foundations of AI-Driven Decision Making 45m
Reading - Foundations of AI-Driven Decision Making 120m
Week 1 - Knowledge CheckQuiz
Applying AI Tools to Business Decision Making2 lessons · 1 quiz
PPT - Applying AI Tools to Business Decision Making 45m
Reading - Applying AI Tools to Business Decision Making 120m
Week 2 - Knowledge CheckQuiz
Interpreting Data & Ensuring Ethical Use of AI2 lessons · 1 quiz
PPT - Interpreting Data & Ensuring Ethical Use of AI 0m
Reading - Interpreting Data & Ensuring Ethical Use of AI 120m
Week 3 - Knowledge CheckQuiz
Leading Teams through AI Adoption2 lessons · 1 quiz
PPT - Leading Teams through AI Adoption 45m
Reading - Leading Teams through AI Adoption 120m
Week 4 - Knowledge CheckQuiz
Course Structure
What will you learn?
Week:1
Foundations of AI for Managers
Understand and apply AI in managerial decision-making: Explain core AI, machine learning, and predictive analytics concepts, and identify key AI tools that support data-driven business decisions.
Evaluate AI’s role and limitations: Recognise opportunities and constraints of AI in management and differentiate between human-led and AI-augmented decisions for responsible decision-making.
Week: 2
Using AI Tools for Operational & Strategic Decisions
Apply AI tools to support decision-making: Use AI dashboards, forecasting tools, and analytics to generate insights that inform operational and strategic decisions.
Assess and implement AI-driven insights: Evaluate AI outputs for accuracy, relevance, and practical value, and identify business areas where AI can enhance performance and productivity.
Week: 3
Interpreting Data & Ensuring Ethical Use of AI
Interpret AI outputs: Analyse AI-generated patterns, correlations, and predictions to extract meaningful insights for decision-making.
Evaluate risks and ethical considerations: Assess data quality, potential biases, and algorithmic errors, applying ethical principles and governance frameworks for responsible AI use.
Integrate AI with human judgment: Combine AI insights with managerial experience to make balanced, informed decisions.
Week: 4
Leading Teams Through AI Adoption
Lead AI adoption and team transformation: Guide teams through AI integration and digital transformation, identifying roles, skills, and workflows that can be enhanced by AI.
Communicate and implement AI insights: Present AI-driven insights clearly and develop actionable plans to integrate AI into teams or departments.
Learning Outcomes
Skills You’ll Develop
- Understand core AI concepts, identify common business AI tools, recognise their opportunities and limitations, and understand the importance of human judgement
- Apply AI tools to business decisions, interpret AI-generated insights, evaluate their accuracy and value, and identify opportunities to improve performance and productivity
- Interpret AI outputs, evaluate risks and ethical considerations, recognise issues such as bias and privacy, and combine AI insights with human judgement.
- Identify opportunities for AI adoption, understand team skills and workflow changes, communicate AI insights effectively, and develop practical AI implementation plans.
Entry Requirements
What You Need to Apply?
No prior qualifications or experience
No prior AI, programming, mathematics, or data science experience is required, making this course accessible to diverse professional and educational backgrounds.
Digital Skills and English
Learners need basic digital skills, workplace software confidence, management interest, and sufficient English to understand materials and complete course activities.
Learn at your own pace
Complete the course in four weeks with three hours of learning each week. Enjoy 12 hours of flexible, self-paced study that fits around your schedule.
Certificate of Completion
Awarded upon the successful completion of the course. A digital certificate is provided upon completion, with a physical copy available by post upon request.
View a sample certificate
Learning on InatUni
Your learning, your rules
Courses are split into weeks and steps to help you track your progress.
Join a global classroom
Learn alongside an international network of learners.
Map your progress
Mark each step complete as you go.
Educator
Mohit Pandey
MBA
I am a finance and academic professional with experience in financial research, academic leadership, government consulting, curriculum design, content development, mentoring, and training. I specialize in bridging industry requirements with academic outcomes, with experience across leading institutions and large-scale government initiatives such as Haryana e-District and UID projects under NeGD.
Recommended courses
Business & Management MSc Management
Business & Management Master of Business Management (MBM)
Business & Management BA (Hons) Business and Management (Top-up)
Business & Management BA (Hons) Business and Marketing
Business & Management LLB (Hons) Law with Business
Browse all courses
×
Under Construction
We’ll be live very soon.