Certificate in AI for Business Productivity

Introduction

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.

Benefits

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.

Agenda

Agenda

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.

Facilitator

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.

FAQs

What is the difference between the face-to-face course and the online course?

The course structure is the same, regardless of the delivery method. However, the autonomy given by the self-paced instruction is balanced by the lack of live interaction with the facilitator and other participants while attending.

What are the prerequisites for taking a course?

There is no prerequisites required.

Who should I contact if I have questions throughout the course?

You can communicate with your instructor through the eLearning forum or by email. You are highly encouraged to use these modes of communications.

How do I register for an online course?

You can register for an online course the same way you would register for any training course organized by The KPI Institute.

If you enroll through The KPI Institute Marketplace, after paying the course fee, you will receive a confirmation email containing the instructions and the credentials to access your online course.

If you enroll by fax or telephone, you will also receive your confirmation and instructions by email.

Where and how can I access the e-learning content? Are there any limitations?

Once you register with us for a course by paying the course fee, you can have 24/7 access to the e-learning content on our website. An automated course purchase confirmation email from our side will guide you through the process.

How can I download course materials?

Downloadable course materials are available on our eLearning Platform. These include course slides, assignment templates and supplemental documents that will help you brush up or dive deeper on concepts within that course. However, video presentations are not available for download.

What kind of computer equipment do I need in order to take an online course?

Operating Systems: Windows 7 and newer, Mac OSX 10.6 and newer, Linux - chromeOS.
Browsers: You must update to the newest version of whatever browser you are using. We recommend using Chrome, Firefox or Safari, beta versions of browsers are not supported and Internet Explorer is problematic. Please make sure that your web browser has JavaScript and cookies enabled.