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The world’s most interesting “New Job for 2024”

The AI-Copilot !!!!

Fourth Wave

Diploma Starts

Oct 26th

Diploma Location

To be Announced

Diploma Duration

8 Offline Sessions +
A Graduation Project
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What is an AI-Copilot?!

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This Diploma is Sponsored By

Our Partners

Valu
Microsoft

Core Essentials You Will Learn in this Diploma

Provide a solid foundation in Al principles, enabling participants to grasp how these technologies can be applied in various business contexts.

Inspire participants to use Al to create innovative solutions to business challenges, fostering a culture of continuous improvement and competitive advantage.
Familiarize participants with the latest Al tools and platforms, teaching them how to select and effectively use the right technology for their specific business needs.
Students will learn to effectively collaborate with AI agents, enhancing their ability to harness the potential of advanced AI tools generation.
Students will learn the skill of prompt engineering, learning to direct AI models to achieve desired outcomes.
The course will explore the integration and application of various AI models, enabling students to address complex problems through the combined capabilities of these technologies.
Develop participants’ skills in identifying business challenges that can be addressed with Al, and designing and implementing Al-driven solutions.
To empower participants to leverage Al technologies to streamline operations, and increase overall business efficiency, by enabling one employee to perform the work of an entire team.
Equip participants with the knowledge and skills that make them indispensable in the future job market, where Al competencies will be increasingly valued.
Through case studies and project work, to enable participants to apply Al concepts and tools to real-world business scenarios, ensuring they can deliver tangible results post-diploma.
To instill an understanding of the ethical considerations in deploying Al technologies, including privacy, security, and fairness, ensuring responsible use of Al in business practices.
Provide opportunities for participants to connect with industry experts and peers, fostering a network of professionals with a shared interest in Al and its business applications.
Prepare participants to lead Al initiatives within their organizations, including managing change, overcoming resistance, and ensuring stakeholder alignment.
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Clear Starting Point

The diploma addresses the common question of "where to start" by providing a structured learning path that demystifies the world of AI for non-technical participants.

General AI Proficiency

The curriculum focuses on building a broad understanding of AI concepts and applications across various industries, empowering individuals to utilize AI tools effectively without becoming specialized AI engineers.

Practical Application

The diploma emphasizes hands-on learning through real-world case studies and projects, allowing participants to directly apply their acquired skills in solving practical problems.

What Should You Expect From the Diploma?

This comprehensive program equips you with the knowledge and skills to become an AI powerhouse, transforming you from an observer to a collaborator in the exciting world of AI.

What will you be able to achieve as an AI Co-Pilot?!

Unlock Diverse Career Paths

Versatility in job roles, as participants can leverage AI in multiple business functions.

Make Smarter Decisions

Enhanced decision-making skills through data-driven insights.

Stand Out With AI Edge

Competitive edge in the job market, with a unique blend of AI & business sophistication.

Master AI & Lead the Way

Preparation for future technological advancements in AI.

Diploma Content

Session#1 - General AI Science

Offer a foundational understanding of AI, its business impact, and real-world applications, empowering participants to identify potential use cases in their industries.

  • Definition and evolution of AI.
  • Key concepts: Machine Learning, Deep Learning, Neural Networks.
  • Distinction between AI, ML, and Data Science.
  • Overview of how AI is transforming various industries.
  • Discussion on AI-driven competitive advantages.
  • Addressing common challenges and misconceptions about AI in business.
  • Detailed analysis of successful AI implementations across different sectors (e.g., healthcare, finance, retail).
  • Focus on how AI solutions address specific business problems.
  • Lessons learned and best practices.
  • Discussing the limitations of current AI technologies.
  • Ethical considerations and responsible AI usage in business.
  • Addressing AI biases and ensuring fairness.
  • Open floor for participants to discuss ideas, ask questions, and share experiences.
  • Encourage sharing of potential AI use cases from their businesses.
  • Examining emerging trends in AI and potential future developments.
  • Discussion on how these trends could impact various business sectors.
  • Preparing for the future: staying adaptable and informed in a rapidly evolving AI landscape.
Session#2 - Prompt Engineering

Empower participants with skills in precise and effective prompt engineering to optimize AI interactions for business applications across platforms.

  • Introduction to prompts and their importance in interacting with AI.
  • Types of prompts: Open-ended, Closed-ended, Instruction-based.
  • Understanding the AI’s interpretation of language and instructions.
  • Techniques for crafting clear, concise, and specific prompts.
  • Balancing detail and flexibility in prompts to guide AI responses.
  • Examples of effective vs. ineffective prompts.
  • Overview of popular AI platforms and their unique prompting requirements (e.g., GPT, DALL-E, etc.).
  • Adapting prompts to different types of AI (text, image, code generation, etc.).
  • Participants practice creating prompts in real-time.
  • Group exercises to refine prompting skills.
  • Feedback and tips on improving prompts.
  • Introducing techniques for complex scenarios (e.g., iterative refinement, chaining prompts).
  • Handling ambiguous or open-ended tasks with effective prompts.
  • Applying prompting skills to specific business use cases (e.g., marketing content creation, data analysis queries, customer support automation).
  • Discussing the role of AI prompts in strategy and decision-making.
  • Preparing for the future: staying adaptable and informed in a rapidly evolving AI landscape.
Session#3 - Content Generation

Learn to leverage AI for creating video, image, and text content in business, gaining hands-on experience with tools to enhance marketing, communication, and operational efficiency.

  • Introduction to AI tools for video, image, and text generation.
  • The impact of AI content on marketing, branding, and customer engagement.
  • Ethical considerations and authenticity in AI-generated content.
  • Demonstrating tools for AI-generated or enhanced video content.
  • Use cases in advertising, product demonstrations, and training materials.
  • Workshop: Participants create a brief AI-assisted video relevant to their business.
  • Exploring AI tools like DALL-E for image creation and enhancement.
  • Applications in digital marketing, product visualization, and social media.
  • Workshop: Participants use an AI tool to create or edit images for specific business use cases.
  • Introduction to AI writing tools (like GPT-3).
  • Applications in creating marketing copy, blog posts, and customer communication.
  • Workshop: Participants draft a piece of text content using an AI writing tool.
Session#4 - AI Agents and GPTs

This session focuses on the development and application of AI agents and Private GPTs, offering an in-depth exploration of their creation, foundational principles, and practical uses in automation. Attendees will learn how to build Private GPTs, understand their role in automating processes, and discover tools and design principles for implementing AI-driven solutions.

Building AI Agents and Private GPTs (1.5 hours)

  • Overview of what AI agents are and their role in technology.
  • Discussing the basics of AI agent architecture and design principles.
  • Steps for developing customized GPTs for specific business needs.
  • Presenting various case studies where AI agents have been effectively utilized.
  • Open floor for questions regarding AI agents and private GPTs.
  • Hands-on session to experiment with building a simple AI agent.

Automation Using AI (1.5 hours)

  • Defining the scope of automation using AI and its importance.
  • Introduction to tools and platforms used for AI-powered automation.
  • Principles of designing robust AI automations for different industries.
  • Exploring innovative applications of AI in automating tasks.
  • A session for addressing queries related to AI automations.
  • Participants will create a basic automation using AI tools.
Session#5 - AI in Finance / Accounting / Fintech
To introduce participants to the application of AI in finance and accounting, focusing on how AI can automate processes, enhance financial analysis, and improve accuracy and efficiency in financial operations. This session will explore the transformative impact of AI on the financial aspects of business operations.
  • Overview of AI’s role in data science and analytics.
  • Key concepts: predictive modeling, machine learning algorithms, big data analytics.
  • Differences between traditional data analysis and AI-enhanced analysis.
  • Introduction to popular AI tools and platforms for data analytics (e.g., TensorFlow, PyTorch, IBM Watson).
  • Demonstrations of AI in action: analyzing data sets, identifying patterns, and making predictions.
  • Exploration of case studies where AI and data science have significantly impacted business outcomes.
  • Discussion on best practices and strategies for implementing AI in data analytics.
  • Understanding the importance of data quality and preparation for effective AI analysis.
  • Techniques for collecting, cleaning, and organizing data for AI processing.
  • Discussing ethical considerations and privacy concerns in AI data analytics.
  • Addressing issues of data bias and ensuring responsible data usage.
  • Hands-on exercise in data analysis using a simple AI tool.
  • Open discussion for participants to ask questions and share insights.
Session#6 - AI in Edutech
The session further explores various AI tools available for course building and how to design AI-enhanced learning experiences. It delves into the significance of data-driven curriculum development and the personalization of learning through AI, providing a more customized educational experience.
  • Discussing the transformative potential of AI in the education sector.
  • Reviewing current applications and platforms where AI is integrated into education technology.
  • Exploring AI tools available for educators to develop courses.
  • Principles of using AI to create engaging, effective, and adaptive learning experiences.
  • How AI can analyze educational data to inform and refine curriculum development.
  • Strategies for implementing AI to tailor educational content and pathways to individual learning styles and needs.
  • Analysis of successful implementations of AI in educational settings.
  •  Addressing the challenges and ethical considerations of applying AI in educational contexts.
  • Discussing predictions and emerging trends of AI in education.
  • An opportunity for participants to ask questions and engage in discussions about the content presented.
Session#7 - AI in Ecommerce & Digital Marketing & Automation

Discover how AI transforms e-commerce through enhanced customer experiences, streamlined operations, and personalized marketing applications

  • Introduction to the role of AI in transforming the e-commerce landscape.
  • Key concepts: personalized shopping experiences, AI-driven recommendations, inventory management.
  • Understanding the impact of AI on customer behavior and sales.
  • Deep dive into how AI powers personalized shopping experiences.
  • Techniques for using AI to analyze customer data and provide tailored recommendations.
  • Case studies of successful AI implementation in personalization.
  • Exploring AI tools for customer service, such as chatbots and virtual assistants.
  • Strategies for enhancing customer engagement through AI.
  • Workshop: Participants design a basic AI-driven customer interaction scenario.
  • How AI assists in inventory forecasting and management.
  • Utilizing AI for demand prediction and supply chain optimization.
  • Case study: AI in efficient inventory management.
  • Discussing the ethical implications and privacy concerns in using AI for e-commerce.
  • Balancing personalization with consumer privacy.
  • Participants share insights or experiences related to AI in e-commerce.
  • Open floor for questions and discussion on real-world applications.
Session#8 - Operational Efficiency / CRM / Automation
The session then explores AI’s transformative role in CRM, offering practical examples of AI-driven CRM solutions. Additionally, AI’s potential to automate and optimize business processes is discussed, alongside strategies for integrating AI into business operations.
  • The significance of AI in transforming data science and CRM.
  • Covering AI’s role in predictive modeling and analytics tools.
  • Discussing the importance of data integrity for AI applications in business.
  • Exploring how AI enhances customer insights and sales forecasting.
  • Demonstrating AI in action with examples like chatbots and personalized marketing.
  • Case studies on AI in supply chain management, HR, and administrative tasks.
  • Strategies for embedding AI tools into existing workflows.
  • Ethical considerations and data security in AI’s business applications.
  • Addressing participant questions and facilitating discussion.

Offer a foundational understanding of AI, its business impact, and real-world applications, empowering participants to identify potential use cases in their industries.

  • Definition and evolution of AI.
  • Key concepts: Machine Learning, Deep Learning, Neural Networks.
  • Distinction between AI, ML, and Data Science.
  • Overview of how AI is transforming various industries.
  • Discussion on AI-driven competitive advantages.
  • Addressing common challenges and misconceptions about AI in business.
  • Detailed analysis of successful AI implementations across different sectors (e.g., healthcare, finance, retail).
  • Focus on how AI solutions address specific business problems.
  • Lessons learned and best practices.
  • Discussing the limitations of current AI technologies.
  • Ethical considerations and responsible AI usage in business.
  • Addressing AI biases and ensuring fairness.
  • Open floor for participants to discuss ideas, ask questions, and share experiences.
  • Encourage sharing of potential AI use cases from their businesses.
  • Examining emerging trends in AI and potential future developments.
  • Discussion on how these trends could impact various business sectors.
  • Preparing for the future: staying adaptable and informed in a rapidly evolving AI landscape.

Empower participants with skills in precise and effective prompt engineering to optimize AI interactions for business applications across platforms.

  • Introduction to prompts and their importance in interacting with AI.
  • Types of prompts: Open-ended, Closed-ended, Instruction-based.
  • Understanding the AI’s interpretation of language and instructions.
  • Techniques for crafting clear, concise, and specific prompts.
  • Balancing detail and flexibility in prompts to guide AI responses.
  • Examples of effective vs. ineffective prompts.
  • Overview of popular AI platforms and their unique prompting requirements (e.g., GPT, DALL-E, etc.).
  • Adapting prompts to different types of AI (text, image, code generation, etc.).
  • Participants practice creating prompts in real-time.
  • Group exercises to refine prompting skills.
  • Feedback and tips on improving prompts.
  • Introducing techniques for complex scenarios (e.g., iterative refinement, chaining prompts).
  • Handling ambiguous or open-ended tasks with effective prompts.
  • Applying prompting skills to specific business use cases (e.g., marketing content creation, data analysis queries, customer support automation).
  • Discussing the role of AI prompts in strategy and decision-making.
  • Preparing for the future: staying adaptable and informed in a rapidly evolving AI landscape.

Learn to leverage AI for creating video, image, and text content in business, gaining hands-on experience with tools to enhance marketing, communication, and operational efficiency.

  • Introduction to AI tools for video, image, and text generation.
  • The impact of AI content on marketing, branding, and customer engagement.
  • Ethical considerations and authenticity in AI-generated content.
  • Demonstrating tools for AI-generated or enhanced video content.
  • Use cases in advertising, product demonstrations, and training materials.
  • Workshop: Participants create a brief AI-assisted video relevant to their business.
  • Exploring AI tools like DALL-E for image creation and enhancement.
  • Applications in digital marketing, product visualization, and social media.
  • Workshop: Participants use an AI tool to create or edit images for specific business use cases.
  • Introduction to AI writing tools (like GPT-3).
  • Applications in creating marketing copy, blog posts, and customer communication.
  • Workshop: Participants draft a piece of text content using an AI writing tool.

This session focuses on the development and application of AI agents and Private GPTs, offering an in-depth exploration of their creation, foundational principles, and practical uses in automation. Attendees will learn how to build Private GPTs, understand their role in automating processes, and discover tools and design principles for implementing AI-driven solutions.

Building AI Agents and Private GPTs (1.5 hours)

  • Overview of what AI agents are and their role in technology.
  • Discussing the basics of AI agent architecture and design principles.
  • Steps for developing customized GPTs for specific business needs.
  • Presenting various case studies where AI agents have been effectively utilized.
  • Open floor for questions regarding AI agents and private GPTs.
  • Hands-on session to experiment with building a simple AI agent.

Automation Using AI (1.5 hours)

  • Defining the scope of automation using AI and its importance.
  • Introduction to tools and platforms used for AI-powered automation.
  • Principles of designing robust AI automations for different industries.
  • Exploring innovative applications of AI in automating tasks.
  • A session for addressing queries related to AI automations.
  • Participants will create a basic automation using AI tools.
To introduce participants to the application of AI in finance and accounting, focusing on how AI can automate processes, enhance financial analysis, and improve accuracy and efficiency in financial operations. This session will explore the transformative impact of AI on the financial aspects of business operations.
  • Overview of AI’s role in data science and analytics.
  • Key concepts: predictive modeling, machine learning algorithms, big data analytics.
  • Differences between traditional data analysis and AI-enhanced analysis.
  • Introduction to popular AI tools and platforms for data analytics (e.g., TensorFlow, PyTorch, IBM Watson).
  • Demonstrations of AI in action: analyzing data sets, identifying patterns, and making predictions.
  • Exploration of case studies where AI and data science have significantly impacted business outcomes.
  • Discussion on best practices and strategies for implementing AI in data analytics.
  • Understanding the importance of data quality and preparation for effective AI analysis.
  • Techniques for collecting, cleaning, and organizing data for AI processing.
  • Discussing ethical considerations and privacy concerns in AI data analytics.
  • Addressing issues of data bias and ensuring responsible data usage.
  • Hands-on exercise in data analysis using a simple AI tool.
  • Open discussion for participants to ask questions and share insights.
The session further explores various AI tools available for course building and how to design AI-enhanced learning experiences. It delves into the significance of data-driven curriculum development and the personalization of learning through AI, providing a more customized educational experience.
  • Discussing the transformative potential of AI in the education sector.
  • Reviewing current applications and platforms where AI is integrated into education technology.
  • Exploring AI tools available for educators to develop courses.
  • Principles of using AI to create engaging, effective, and adaptive learning experiences.
  • How AI can analyze educational data to inform and refine curriculum development.
  • Strategies for implementing AI to tailor educational content and pathways to individual learning styles and needs.
  • Analysis of successful implementations of AI in educational settings.
  •  Addressing the challenges and ethical considerations of applying AI in educational contexts.
  • Discussing predictions and emerging trends of AI in education.
  • An opportunity for participants to ask questions and engage in discussions about the content presented.

Discover how AI transforms e-commerce through enhanced customer experiences, streamlined operations, and personalized marketing applications

  • Introduction to the role of AI in transforming the e-commerce landscape.
  • Key concepts: personalized shopping experiences, AI-driven recommendations, inventory management.
  • Understanding the impact of AI on customer behavior and sales.
  • Deep dive into how AI powers personalized shopping experiences.
  • Techniques for using AI to analyze customer data and provide tailored recommendations.
  • Case studies of successful AI implementation in personalization.
  • Exploring AI tools for customer service, such as chatbots and virtual assistants.
  • Strategies for enhancing customer engagement through AI.
  • Workshop: Participants design a basic AI-driven customer interaction scenario.
  • How AI assists in inventory forecasting and management.
  • Utilizing AI for demand prediction and supply chain optimization.
  • Case study: AI in efficient inventory management.
  • Discussing the ethical implications and privacy concerns in using AI for e-commerce.
  • Balancing personalization with consumer privacy.
  • Participants share insights or experiences related to AI in e-commerce.
  • Open floor for questions and discussion on real-world applications.
The session then explores AI’s transformative role in CRM, offering practical examples of AI-driven CRM solutions. Additionally, AI’s potential to automate and optimize business processes is discussed, alongside strategies for integrating AI into business operations.
  • The significance of AI in transforming data science and CRM.
  • Covering AI’s role in predictive modeling and analytics tools.
  • Discussing the importance of data integrity for AI applications in business.
  • Exploring how AI enhances customer insights and sales forecasting.
  • Demonstrating AI in action with examples like chatbots and personalized marketing.
  • Case studies on AI in supply chain management, HR, and administrative tasks.
  • Strategies for embedding AI tools into existing workflows.
  • Ethical considerations and data security in AI’s business applications.
  • Addressing participant questions and facilitating discussion.
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Graduation Project

The program goes beyond theory!
You’ll work together on a final project tackling real-world issues with AI.
Gain practical experience and impress industry experts with your innovative solution.
Here’s how it works:

1. Spark Ideas

Based on everyone's ideas, We'll choose the most promising ideas.

2. Team Up

Based on our chosen project, you'll be paired with others to form a team.

3. Develop

Turn your idea into a Pitch!
You'll create a business plan outlining your AI solution and craft a compelling presentation to showcase it.

4. Pitch & Ceremony

This is your moment to shine!
Present your business plan to industry experts.

The top 3 teams will win cash prizes!

About the Instructor

Omar El Monayar

Investor and Co-Founder at Sigma Fit

My biggest dream is to enhance human lives through futuristic tech, Integrating super humans through smart wearables, humans that could survive pandemics, global warming and one day colonize Mars. By building deep tech companies that enhance human lives through data, gather them through Blockchain and give them extra powers through smart clothing and wearables.

You get what you pay for

Diploma Add-Ons

EGP 25,000
  • Practical Use of AI Tools and SoftwareHands-on experience with leading AI tools and software used in the industry.
  • Certificate of CompletionRecognized certification upon successful completion of the course.
  • Career ServicesAssistance with job placement and career advice for graduates.
  • Workshops and WebinarsRegular workshops on emerging AI topics and technological advancements.
  • Private Telegram GroupExclusive access to a private group for sharing updates, news, and networking with peers and experts.
  • MentorshipPersonalized guidance from experienced professionals in AI and related fields.
  • Guest LecturesSessions with industry leaders and AI experts for real-world insights and trends.
  • Alumni NetworkAccess to an alumni network for ongoing support and collaboration opportunities.
  • Scholarships to Top Students
  • Access to the AI-Copilot Online Course
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FAQs

This diploma is designed for individuals in the business field who are looking to advance their careers. This includes:

  • Business professionals from all sectors.
  • Employees seeking promotion or career development.
  • CEOs and founders of small and medium-sized businesses.

We encourage applicants with at least 3 years of experience and a genuine passion for learning.

Due to limited seats and offline location, we carefully select participants according to:

  • CV & Cover Letter: Showcase your experience & highlight your motivation.
  • Commitment to learning: Demonstrate your readiness & time availability.

Our goal is to build the first dynamic community of AI learners who will contribute to the diploma’s success and support others’ growth.

  • Weekly Session: 3 hours once a week.
  • Weekly Assignment: 6-8 hours for the weekly tasks & study time to solidify your learning.
  • Assignments Feedback: Make sure to set aside time to review the feedback on your assignments provided by our team.
  • Graduation project: The final session concludes with a graduation project, during which you will apply your learnings to a real-world case study of one of our partner companies. This project encompasses: Business Plan, Marketing Plan, Moodboard, Financial Analysis, Data Analysis, and Go-To-Market, ..etc.

The Diploma includes 8 sessions beginning on the October 26th and targeting completion by December 2024.

  • A minimum of 3 years of business experience is preferred.
  • CV and Cover Letter explaining your motivations and highlighting your expertise, demonstrating your readiness to study and apply this knowledge after completing the diploma.
  • Submissions will be reviewed using an AI Checker to ensure human writing and genuine motivation.
  • Follow Omar El Monayar’s social media posts for insights on the core topics of AI.
  • Complete the FREE “Starter Course” provided by Omar El Monayar at Almentor & Yanfaa.
You are eligible for a refund before completing 25% of the course material.