Microsoft - Lead the Era of AI

Join our FREE AI Event
to redefine and recalibrate your organization's growth trajectory.

Embrace AI technology, thrive, and lead in an ever-evolving world. Discover transformative possibilities, enhance efficiency, and drive innovation.

Introduction:

Welcome to the immersive "Lead the Era of AI" event.

In this intensive one-day session, you'll dive into the world of artificial intelligence, data science, and machine learning using the power of Python programming and Microsoft Azure Studio.

Whether you're a beginner or have some experience, this workshop aims to demystify complex concepts and equip you with practical skills to build and deploy regression models effectively.

The Real-World Impact of AI:

AI technology is not a futuristic vision but a present-day reality, offering businesses tangible opportunities for transformation.

Its capacity to optimize operations, revolutionize customer experiences, and extract insights from complex data sets empowers organizations to drive innovation, enhance efficiency, and gain a competitive edge in today's dynamic.

How AI enables opportunities for your business:

Minimize costs, automate workflows, and deliver state-of-the-art services with the help of Microsoft Azure AI, which protects your data while providing the tools you need to innovate.

Facts & Figures

As reported by Forrester, the integration of Microsoft Azure AI yields the following benefits:

$23.3 million

net present value over 3 years for a composite organization aggregated from survey responses.

80%

Reduction of manual work and enabling employees to reallocate their time to higher-value work.

150%

Increase in work output when automating and scaling processes to benefit business growth.

284%

Return on investment (ROI), in benefits of $31.5 million versus costs of $8.2 million.

Workshop Outline

Introduction to AI, Data Science & Machine Learning

Overview of big data, data science, AI and machine learning concepts.
Importance and real-world applications.

Python Programming for Data Science

Introduction to Python: syntax, variables, data types.
Data manipulation using libraries like Pandas.

Regression Modeling Basics

Introduction to regression analysis and types of regression.
Understanding the regression workflow.

Building a Regression Model with Microsoft Azure Studio

Introduction to Microsoft Azure Studio.
Data preprocessing and feature engineering.
Building and training a regression model.
Model evaluation and interpretation.

Hands-on Workshop and Q&A

Guided practice session: Building a regression model with provided dataset.
Question and answer session with instructors.

Speaker:

Mohammed Al-Obaydee,

With a PhD in AI and 17+ years' experience, he specializes in Big Data, ML, DL, and Immersive Tech. He's trained 2000+ professionals, led PhD/Master's candidates, and spoken globally. He founded AlC4ALL for AI education and used AI/Immersive Tech in his 14+ years as a digital marketer and INNOEYETIVE founder.

Who Should Attend:

Aspiring Data Scientists

Individuals curious about harnessing the potential of AI and data science for predictive modeling.

Programmers & Developers

Those interested in expanding their skills to include machine learning and AI-driven applications.

Business Analysts

Professionals seeking to enhance their data analysis and decision-making capabilities.

Tech Enthusiasts

Anyone intrigued by the intersection of technology, data, and AI-driven insights.

Start building your future with AI

From efficiency and productivity gains to new capabilities and improved speed of business, AI is here to offer tangible benefits for everyone—not just developers and data scientists.

Eager to learn more?

Start your Learning Path:

For a more in-depth overview of this learning path, check out our campaign page with the button below.

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