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Artificial Intelligence and Deep Learning for Decision Makers

AI isn’t a tough nut to crack. Let our course be the bridge between you and the AI-driven future.

(AI-DL.AW1) / ISBN : 978-1-64459-660-9
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About This Course

Prepare to lead in the age of AI with Artificial Intelligence and Deep Learning for Decision Makers training course. 

Through clear, structured lessons, you’ll explore the fundamentals of Artificial Intelligence (AI) and Deep Learning (DL), learn to implement models using Python, and analyze results for smarter decision-making. 

This online course dives into the strategies of tech giants like Google, IBM, and Microsoft, showing you how AI and DL are transforming industries. From improving business operations to developing innovative products, you’ll gain actionable insights to apply in your organization. 

So, gear up because the future of intelligent decision-making awaits you! 

Skills You’ll Get

  • Understand the core concepts of AI and DL and how they differ from traditional machine learning.
  • Implement and analyze AI and DL models using industry-leading Python packages for real-world datasets.
  • Apply algorithmic problem-solving approaches to design and develop intelligent systems for business challenges.
  • Evaluate the business models and strategies of tech giants like Google, IBM, and Microsoft to integrate AI into organizational processes.
  • Leverage cognitive learning services like IBM Watson and cloud computing intelligence to improve decision-making and operational efficiency.
  • Design knowledge representation techniques to solve complex problems and enhance business outcomes.
  • Explore the potential of AI and DL to innovate products, services, and customer experiences across industries. 
Download Course Outline

1

Preface

2

Artificial Intelligence and Deep Learning

  • Artificial Intelligence (AI)
  • Deep Learning (DL)
  • Machine learning versus deep learning
  • Introduction to Artificial Neural Networks (ANNs)
  • Algorithmic Problem-Solving Approach
  • Conclusion
  • Questions
3

Data Science for Business Analysis

  • What is data science?
  • Challenges faced by businesses
  • Problems that Occur During Model Development
  • Problems Faced by IT Organizations While Developing Models
  • Artificial Intelligence and Deep Learning Methods to Develop Models
  • Improvements in the Business
  • Benefits of data science in business analysis
  • Conclusion
  • Questions
4

Decision Making

  • Representation Of Problems
  • Design and development knowledge representation
  • Representation techniques
  • Knowledge Representation Issues
  • Conclusion
  • Questions
5

Intelligent Computing Strategies by Google

  • The Strategies Of Google In Deep Learning Exploration
  • Research Environment By Deepmind And Other Services Provided To The Users
  • Business Models Currently Adopted by Google
  • Google business model canvas
  • Conclusion
  • Questions
6

Cognitive Learning Services in IBM Watson

  • The Cognitive Learning in NLP
  • IBM Watson
  • Improving services with IBM Watson
  • How to impact businesses with IBM Watson
  • Conclusion
  • Questions
7

Advancement of Web Services by Baidu

  • Baidu web services and its business orientation
  • Deep Learning in Baidu Web Services
  • Next steps of Baidu intelligent web services
  • Conclusion
  • Questions
8

Improved Social Business by Facebook

  • Introduction
  • Introduction to Facebook
  • The Current Progress of FAIR for Advancing Social Media
  • Application of AI in the Field at Facebook Scale
  • Social Media Analytics
  • Potential Use of DL in Improving Customers Among Social Media Users
  • Conclusion
  • Questions
9

Personalized Intelligent Computing by Apple

  • Introduction to Apple
  • AI in Apple: From Siri to the image processing
  • Innovation On Intelligent Product Development
  • Emergence Of Apple Products Year By Year
  • Conclusion
  • Questions
10

Cloud Computing Intelligence by Microsoft

  • Lesson Objective
  • Introduction
  • Microsoft Approach to AI
  • Microsoft AI platform - Overview
  • Incorporation of DL capabilities in cloud computing
  • Microsoft business model
  • Microsoft business segments
  • Conclusion
  • Questions

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This course is designed for business leaders, managers, and decision-makers who want to upskill in AI and DL to drive innovation and improve business processes. 

No prior technical experience is required. This AI course for decision-making is beginner-friendly, with clear explanations and practical examples to help you grasp complex concepts. 

Absolutely! This AI decision-maker course focuses on practical applications, teaching you how to implement AI and DL models, analyze results, and improve business processes using real-world examples. 

You’ll need access to a computer and a Wi-Fi connection. To use basic software like Python (with libraries such as TensorFlow or PyTorch), we recommend attempting our hands-on virtual labs. Detailed instructions will be provided. 

AI for the Bold

  Learn how to make smarter, faster decisions and lead your business into the future. 

$239.99

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