Certificate in AI for Business Productivity

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In today's competitive business landscape, artificial intelligence (AI) is becoming an integral player in not only the technology sector but across a wide range of industries. By leveraging the power of AI, businesses are now able to streamline their processes, unlock new tools for efficiency, and drive impressive progress in their outputs and results. To maintain a competitive edge, AI is becoming an essential part of the technology-driven business world we operate in. Businesses of all sizes are starting to catch on to game-changing technology and you should too.


  • Real-world case studies and examples showcasing successful applications of AI in numerous industries and business functions;
  • Lessons with practical exercises;
  • Comprehensive coverage of different layers of AI, including natural language processing, prompt engineering, and machine learning.

Learning objectives

  • Gain a good understanding of the different use cases and applications of AI in business, including marketing customer service;
  • Learn how to identify the opportunities to adopt AI in your business;
  • Enhance your career prospects by acquiring in-demand skills in AI and demonstrating your ability to drive productivity and growth;
  • Connect and interact with a community of like-minded professionals, looking to deepen their knowledge in emerging technologies, as well as expand their network and career opportunities.


Chapter 1: The Revolution of AI

  • Introduction to the AI revolution;
  • Definition of AI;
  • Mid-20th century: emergence of AI research;
  • Obstacles and setbacks in AI research;
  • AI in everyday life;
  • AI in enhancing productivity and quality of life;
  • 6 key benefits of AI in the future.

Chapter 2: Introduction to Artificial Intelligence

  • AI in business;
  • Artificial intelligence taxonomy;
  • Machine learning taxonomy;
  • Explaining of NLP technology;
  • Importance of NLP AI (Automation, Augmentation, Innovation);
  • Statistics on AI;
  • Challenges;
  • Misconception;
  • 12 Key NLP AI applications;
  • 12 Key NLP AI tools;
  • 4 Examples of NLP AI tools;
  • 1 Case study;
  • 4 Deployment approaches;

Chapter 3: Prompt Engineering

  • Zero-shot prompting;
  • Few-shot prompting;
  • Chain-of-thought prompting;
  • Zero-shot chain-of-thought prompting;
  • Generic prompting framework;
  • 3 Challenges in prompt engineering;
  • 1 Importance;
  • 1 Benefit;
  • 5 best practices of prompt engineering;
  • 1 Application;
  • Examples.

Chapter 4: Marketing

  • Statistics on NLP AI in Marketing
  • 7 Applications:
    • Sentiment Analysis;
    • Chatbots;
    • Content Generation;
    • Keyword Research;
    • Customer Insights;
    • Personalization;
    • Competitive Analysis;
  • Use Cases:
    • Identify Brand Reputation;
    • Audience Analysis;
    • Content Writing;
    • Image Generation;
  • 8 Tools;
  • 1 Challenges;
  • 1 Case Study;
  • 5 Applied exercises.

Chapter 5: Sales

  • Statistics on NLP AI in Sales;
  • 4 Applications:
    • Sentiment Analysis;
    • Text Summarization;
    • Named Entity Recognition;
    • Natural Language Generation;
  • Use Cases:
    • Lead Scoring;
    • Opportunity Identification;
    • Customer Insight Analysis;
  • 4 Tools;
  • 1 Benefit;
  • 1 Challenge;
  • 1 Case Study;
  • 3 Applied exercises.

Chapter 6: Customer Relations

  • Statistics on NLP AI in Customer Relations;
  • 3 Applications:
    • Automated Responses;
    • Sentiment Analysis;
    • Language Translation;
  • Use Cases:
    • Customer Sentiment Analysis;
    • Responding to customer inquiries and complaints;
  • 3 Tools;
  • 1 Benefit;
  • 1 Challenge;
  • 1 Case Study;
  • 5 Applied exercises.

Chapter 7: Operations

  • Statistics on NLP AI in Operations;
  • 5 Applications:
    • Sentiment Analysis;
    • Test Mining;
    • Chatbots;
    • Document Summarization;
    • Natural Language Generation (NLG);
  • Use Cases:
    • Streamline Communication;
    • Task Automation;
  • 2 Tools;
  • 1 Challenge;
  • 1 Case Study;
  • 5 Applied exercises.

Chapter 8: Human Resources

  • Statistics on NLP AI in Human Resources;
  • 3 Applications:
    • Text-to-Speech Conversion;
    • Question Answering;
    • Chatbots and Virtual Assistants;
  • Use Cases:
    • Candidate Screening;
    • Personalised guideness, support and FAQ's;
  • 3 Tools;
  • 2 Benefits;
  • 1 Challenge;
  • 1 Case Study;
  • 5 Applied exercises.

Chapter 9: Innovation Management

  • Statistics on NLP AI in Innovation Management;
  • 3 Applications:
    • Automation;
    • Trends Analysis;
    • Collaboration and Communication;
  • 2 Challenge;
  • 2 Case Study;
  • 4 Applied exercises.

Chapter 10: Ethics and Governance of AI

  • Ethical Principles;
  • Transparency;
  • Fairness;
  • Responsibility;
  • Privacy;
  • Collaboration;
  • Reliability.

Chapter 11: Integrating AI to Business

  • Integration Process:
    • Choosing the right tools;
    • Budget;
    • Training;
  • Step-by-Step Implementation Strategy Process;

Chapter 12: Practical Application

  • Create an NLP Implementation Strategy;
  • Discuss possible ai integration into business functions.

Amany Sadek is an expert in fields of research and business development. With over a decade of experience in leading and executing successful market research and business development projects for multinational organisations, Amany has established herself as a trusted advisor to business leaders in the MENA region. Through her extensive work in business development, Amany has identified opportunities to introduce new technologies into the business space, including the transformative potential of AI. Drawing on her vast knowledge and research studying the latest AI technologies and their real-world application in various business functions, Amany developed this course.

Through the course, Amany shares her insights and practical knowledge, providing professionals with the tools and skills needed to identify opportunities for adoption AI in their organisations. Her unique perspective and wealth of knowledge makes her the ideal facilitator for this course, providing learners with invaluable guidance and support as they explore the exciting world of AI for Business Productivity: Beyond ChatGPT.

What certificates do I receive upon completing the Certificate in AI for Business Productivity course?

There are two certificates you can earn depending on your level of engagement and assessment:

Certificate of Attendance: This certificate recognises your dedication to learning the fundamentals of AI for business applications. You'll receive this upon successful completion of the course curriculum, including lectures, workshops, and assignments.

Certificate in AI for Business Productivity: This certificate signifies your mastery of AI concepts and ability to leverage them for practical business improvements. To earn this, you'll need to successfully complete both the course curriculum and a comprehensive final exam (40 questions).

What are the benefits of earning each certificate?

Certificate of Attendance:

Demonstrates your commitment to professional development and staying ahead of the curve in the tech-driven business landscape.
Enhances your understanding of AI's potential impact on various business functions.
Provides a valuable addition to your resume or portfolio, showcasing your interest in AI.

Certificate in AI for Business Productivity:

Stands out as a prestigious credential validating your expertise in applying AI for real-world business results.
Increases your job competitiveness and marketability to employers seeking AI-savvy professionals.
Boosts your confidence in leveraging AI to optimize processes, drive innovation, and gain a competitive edge

What types of modules are included?

The course features interactive modules with real-world case studies, hands-on exercises, and practical applications of AI across different industries.

How is the course delivered?

The course is delivered in a flexible online format, allowing you to learn at your own pace. You will have access to video lectures, interactive activities, downloadable resources, and a vibrant online community forum.

What level of technical knowledge is required? 

No prior knowledge of AI is required. The course is designed to be beginner-friendly and will help you build your understanding from the ground up.

Contact us if you would like to benefit from this opportunity:

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