AI For Business Course

USD 127
USD 102

Duration
01:7:45 hours

Access Time
Lifetime

Language
Arabic

Resources
(2)

242

USD 127
USD 102

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About the instructor

Mohammed Gomaa

AI Consultant

over 22 years of experience in the software industry. My expertise lies in machine learning and deep learning algorithms. I am passionate about promoting diversity and inclusion in the workplace.

I hold an academic master’s degree in Software Engineering and Artificial Intelligence from the Egyptian E-Learning University (EELU) in Egypt.

I am currently pursuing a PhD in Software Engineering and Artificial Intelligence at Cairo University.

My thesis is titled “Enhancing Classification Performance in Heart Disease Diagnosis Using Machine Learning,” which aims to improve prediction accuracy of heart disease through the application of machine learning techniques.

I have authored and published three research papers:

“A hybrid GA and PSO optimized approach for heart-disease prediction based on random forest,” published by Springer on March 8, 2022.
“A Hybrid Bidirectional LSTM and 1D CNN for Heart Disease Prediction,” published in IJCSNS on October 21, 2021.
“Heart-Disease Prediction Method Using Random Forest and Genetic Algorithms,” published by IEEE on July 3, 2021.

Throughout my career, I have contributed to many projects using frameworks like TensorFlow, PyTorch, and Keras. I have actively participated in challenges such as the PyTorch Challenge, Intel OpenVINO Challenge, and AWS DeepRacer Challenge.

I have delivered several workshops on AI and data, taught at Northwestern University, and hold multiple international certifications in Big Data and Artificial Intelligence.

My expertise also includes training in software engineering and various topics within machine learning and deep learning.

Objectives of AI For Business Course

Comprehensive AI Exploration: Offers an in-depth look at Artificial Intelligence, starting with fundamental definitions and covering various AI types.
Focus on Generative AI: Specifically delves into the specifics of Generative AI, providing detailed insights into this rapidly evolving field.
Practical Knowledge of AI Tools: Participants will gain hands-on understanding of how key AI tools, such as Chat GPT, operate.
Business AI Use Cases: Teaches how to identify and implement impactful AI applications in business settings using frameworks like the AI Canvas Model.
AI Maturity Assessment: Emphasizes strategies for assessing the maturity level of AI adoption within an organization.
Real-World AI Applications: Examines successful AI applications and case studies from startups.
Productivity Enhancement with AI Agents: Covers leveraging AI Agents to significantly boost daily business productivity.
Operational Optimization Skills: Provides attendees with the skills to optimize operations using both traditional and generative AI technologies.

You Will Learn

Define and Differentiate AI Types: Gain a clear understanding of what Artificial Intelligence is, including its various forms, with a specific emphasis on the capabilities and applications of Generative AI.
Understand AI Model Functionality: Learn how key AI models, such as Chat GPT, operate and process information, providing insight into the mechanics behind their performance.
Identify and Implement Business AI Use Cases: Acquire the skills to pinpoint relevant AI applications for business challenges and effectively implement them using strategic frameworks like the AI Canvas Model.
Enhance Productivity with AI Agents: Discover how to integrate AI Agents into your daily operations to significantly improve efficiency and streamline workflows across various business functions.
Assess AI Maturity and Learn from Successes: Develop the ability to evaluate AI readiness within organizations and draw lessons from successful AI adoption strategies observed in startups.

Targeted Students

Business Professionals and Managers: Individuals looking to understand and leverage AI and Generative AI for strategic decision-making, process optimization, and competitive advantage within their organizations.
Entrepreneurs and Startup Founders: Those aiming to integrate AI solutions into their business models, develop innovative products/services, or improve operational efficiency in new ventures.
IT Professionals and Developers: Professionals who want to grasp the business applications of AI, understand generative AI models, and explore how AI agents can enhance their technical projects and productivity.
Data Analysts and Scientists: Individuals seeking to expand their knowledge beyond traditional data analysis to include the practical implementation and strategic impact of AI, particularly Generative AI, in real-world business scenarios.
Product Managers and Innovators: Those responsible for developing new products or improving existing ones, seeking to understand how AI can drive innovation and create value.
Anyone interested in AI for Business: Individuals with a general curiosity about AI's role in the business world who want a structured approach to understanding its concepts, applications, and productivity benefits.