Artificial Intelligence in Practice for Business

via Coursera

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Coursera
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Paid Course
Languages

English
Certificate

Paid Certificate Available
Duration & workload

17 hours 40 minutes
Sessions

Self-Paced
Level

Beginner
Subtitles

English

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Overview

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Based on the book, Artificial Intelligence in Practice, by Bernard Marr and Matt Ward. Artificial Intelligence is transforming how organizations operate, compete, and innovate across industries. This course explores how leading global companies apply AI, machine learning, and deep learning to drive growth, efficiency, and customer value in the real world. Through in-depth case studies of organizations such as Amazon, Google, Microsoft, and Tesla, you will discover how AI powers retail, healthcare, finance, manufacturing, media, and beyond. You will gain practical insights into how businesses use AI for fraud detection, recommendation systems, automation, predictive analytics, customer personalization, and operational optimization. By the end of the course, you will be equipped to identify AI opportunities within your own organization and contribute to AI-driven strategy. What makes this course unique is its strong focus on real-world implementation rather than abstract theory. Each module connects AI concepts to tangible business outcomes, showing how industry leaders turn data and algorithms into measurable competitive advantage. This course is ideal for business professionals, managers, entrepreneurs, consultants, and technology leaders who want to understand how AI creates value in practice. No programming experience is required, but a basic understanding of business concepts and digital technologies will be helpful. Copyright 2019 Bernard Marr, John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, United Kingdom

Syllabus

Alibaba: Using Artificial Intelligence To Power The Retail And Business-To-Business Services Of The Future

In this section, we explore Alibaba's AI use in e-commerce, reinforcement learning, and customer service solutions.

Alphabet and Google: Maximizing The Potential Of Artificial Intelligence

In this section, we explore how Alphabet applies AI in search optimization, virtual assistants, and medical diagnostics, highlighting its impact on technology and healthcare solutions.

Amazon: Using Deep Learning to Drive Business Performance

In this section, we examine how deep learning enhances business operations through AI applications in retail, logistics, and predictive analytics, emphasizing practical strategies for growth and innovation.

Apple: Integrating AI Into Products And Protecting User Privacy

In this section, we explore Apple's in-device AI strategies, focusing on privacy-centric applications and secure user experiences. Key concepts include AI integration, data protection, and user engagement.

Baidu: Machine Learning for Search Engines and Autonomous Cars

In this section, we explore how Baidu uses AI in search engines and self-driving vehicles.

Facebook: Using Artificial Intelligence to Improve Social Media Services

In this section, we explore how AI enhances social media through content moderation and data analysis.

IBM: Cognitive Computing Helps Machines Debate With Humans

In this section, we explore cognitive computing models using IBM Watson, focusing on AI applications in business decision-making and real-world machine learning scenarios.

JD.com: Automating Retail With Artificial Intelligence

In this section, we examine AI's role in retail automation, focusing on drone delivery and robotics.

Microsoft: Making Artificial Intelligence Part of the Fabric of Everyday Life

In this section, we explore Microsoft's strategy for democratizing AI through Azure Cognitive Services, emphasizing accessibility, inclusivity, and practical applications for broad societal impact.

Tencent: Using Artificial Intelligence To Power WeChat And Healthcare

In this section, we examine how AI enhances WeChat and healthcare through real-world applications.

Burberry: Using Artificial Intelligence To Sell Luxury

In this section, we explore how AI enhances retail competitiveness by integrating online innovations into physical luxury shopping experiences, focusing on customer engagement and in-store optimization.

Coca-Cola: Using Artificial Intelligence To Stay At The Top Of The Soft Drinks Market

In this section, we explore how AI enhances market analysis, optimizes distribution, and improves customer engagement in the soft drinks industry. Key concepts include data-driven strategies and intelligent systems for competitive advantage.

Domino's: Using Artificial Intelligence To Serve Up Hundreds Of Thousands Of Pizzas Every Day

In this section, we examine how AI improves operational efficiency and customer experience in the food service industry through data analytics and digital integration.

Kimberly-Clark: Using AI To Make Sense Of Customer Data

In this section, we examine how AI processes customer data to enhance decision-making.

McDonald's: Using Robots and Artificial Intelligence to Automate Processes

In this section, we examine how digital tools transform customer service and improve operational efficiency.

Samsung: Automating The Home And Workplace With Artificial Intelligence

In this section, we examine how AI is integrated into Samsung's consumer and industrial devices to enhance automation, convenience, and efficiency in home and workplace environments.

Starbucks: Using Artificial Intelligence To Sell Millions Of Coffees Every Day

In this section, we examine how AI enhances customer personalization and operational efficiency through data analytics and machine learning in global markets.

Stitch Fix: Combining The Power Of Artificial Intelligence And Humans To Disrupt Fashion Retail

In this section, we explore how AI and human stylists work together to enhance fashion retail experiences.

Unilever: Using Artificial Intelligence To Streamline Recruiting And Onboarding

In this section, we explore how AI streamlines talent acquisition, enhances candidate evaluation, and improves hiring efficiency for large organizations like Unilever.

Walmart: Using Artificial Intelligence To Keep Shelves Stacked And Customers Happy

In this section, we explore how AI enhances retail efficiency through inventory management, customer data analysis, and robotic shelf-scanning systems. It highlights practical applications of AI in large-scale operations.

The Walt Disney Company: Using Artificial Intelligence To Make Magical Memories

In this section, we examine how AI optimizes guest experiences by analyzing data to reduce park friction, manage crowds, and improve operational efficiency through smart systems.

Instagram: Using Artificial Intelligence to Tackle Online Bullying

In this section, we explore how AI detects and prevents online bullying on social media. It covers AI models, real-time monitoring, and their impact on user safety.

LinkedIn: Using Artificial Intelligence to Solve the Skills Crisis

In this section, we explore how AI enhances professional matching by analyzing skills, recommending jobs, and building career connections through data-driven insights.

Netflix: Using Artificial Intelligence To Give Us A Better TV Experience

In this section, we explore how AI enhances TV experiences through content personalization, binge-watching analysis, and user engagement metrics for improved subscriber satisfaction.

Press Association: Using Artificial Intelligence To Cover Local News Stories

In this section, we examine how AI enhances news production efficiency. It explores AI implementation, workflow impact, and content accuracy in local journalism.

Spotify: Using Artificial Intelligence To Find New Music You Will Love

In this section, we explore how AI enhances music discovery through machine learning, focusing on personalized recommendations and scalable playlist generation for user engagement.

Telefonica: Using Artificial Intelligence To Connect The Unconnected

In this section, we explore how AI identifies underserved communities and optimizes resource allocation for remote connectivity. It highlights practical AI applications for infrastructure challenges.

Twitter: Using Artificial Intelligence To Fight Fake News And Spambots

In this section, we explore how AI detects fake news and spambots using machine learning and data analysis to enhance online safety and content accuracy.

Verizon: Using Machine Learning to Assess Service Quality

In this section, we explore how machine learning models analyze network traffic and external factors to assess service quality. It highlights practical AI applications in telecom operations for improved customer experiences.

Viacom: Using Artificial Intelligence To Stream Videos Faster And Improve Customer Experience

In this section, we explore how AI optimizes video streaming and enhances customer experience through real-time analytics and scalable solutions for media networks.

American Express: Using Artificial Intelligence to Detect Fraud and Improve Customer Experience

In this section, we explore how machine learning enhances fraud detection and customer experience. AI techniques analyze transaction data to improve security and personalization in financial services.

Elsevier: Using Artificial Intelligence to Improve Medical Decisions and Scientific Research

In this section, we examine how AI integrates diverse data sources to enhance medical and scientific decision-making. Key concepts include data analysis, AI tools, and practical applications for research and patient care.

Entrupy: Using Artificial Intelligence To Combat The $450 Billion Counterfeit Industry

In this section, we explore how AI detects counterfeit goods, focusing on machine learning models and their role in protecting brand revenue through accurate product authentication.

Experian: Using Artificial Intelligence To Make Mortgages Simpler

In this section, we explore how AI and machine learning improve mortgage processing by analyzing credit data, reducing time, and enhancing financial decision-making efficiency.

Harley-Davidson: Using Artificial Intelligence To Increase Sales

In this section, we explore how AI enhances sales through data-driven strategies, focusing on practical tools and measurable business outcomes.

Hopper: Using Artificial Intelligence To Travel For Less

In this section, we explore how AI analyzes flight data to predict optimal booking times and reduce travel costs using machine learning models and historical trends.

Infervision: Using Artificial Intelligence to Detect Cancer and Strokes

In this section, we examine AI's role in early disease detection using medical imaging and precision platforms.

Mastercard: Using Artificial Intelligence To Cut Down The "False Declines" That Cost Businesses Billions Each Year

In this section, we explore how AI reduces false declines by analyzing transaction data and implementing machine learning models for real-time fraud detection and secure payment decisions.

Salesforce: How Artificial Intelligence Helps Businesses Understand Their Customers

In this section, we explore how AI enhances CRM via cloud-based SaaS models, focusing on customer data analysis and strategic business growth applications.

Uber: Using Artificial Intelligence To Do Everything

In this section, we explore how AI enhances decision-making and operational efficiency in businesses. It covers AI-first strategies, real-time applications, and scalable business process design.

BMW: Using Artificial Intelligence To Build And Drive The Cars Of Tomorrow

In this section, we explore how AI optimizes automotive logistics and production efficiency, focusing on real-world applications and measurable performance improvements.

GE: Using Artificial Intelligence To Build The Internet Of Energy

In this section, we examine how AI optimizes energy systems through digital transformation, focusing on smart, self-learning solutions and sustainable energy analytics.

John Deere: Using Artificial Intelligence To Reduce Pesticide Pollution In Agriculture

In this section, we examine how AI enhances precision agriculture by reducing pesticide use through automation and data analytics. It highlights practical applications of AI in sustainable farming practices.

KONE: Using Artificial Intelligence To Move Millions Of People Every Day

In this section, we explore how AI enhances urban mobility through real-time equipment monitoring, machine learning data analysis, and predictive maintenance solutions for infrastructure efficiency.

Daimler AG: From Luxury Personal Cars To Passenger Drones

In this section, we examine how machine learning enhances manufacturing efficiency and reduces errors in automotive production. It explores AI integration, automation benefits, and practical industrial applications.

NASA: Using Artificial Intelligence To Explore Space And Distant Worlds

In this section, we examine how AI enhances space exploration through autonomous decision-making, data analysis, and mission planning for planetary and deep space research.

Shell: Using Artificial Intelligence to Tackle the Energy Transition

In this section, we explore how AI enhances fossil fuel efficiency and integrates renewable energy. It highlights practical AI applications in addressing energy transition challenges.

Siemens: Using Artificial Intelligence and Analytics to Build the Internet of Trains

In this section, we explore how AI and analytics enhance rail efficiency and safety through predictive maintenance and IoT-enabled data analysis in smart railway systems.

Tesla: Using Artificial Intelligence To Build Intelligent Cars

In this section, we explore how AI enables autonomous driving in Tesla vehicles, focusing on autonomy levels, AI applications, and their impact on electric vehicle systems.

Volvo: Using Machine Learning To Build The World's Safest Cars

In this section, we explore how machine learning enhances vehicle safety and supports autonomous driving through data analysis and AI implementation in electric and hybrid vehicle strategies.