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AI for Managers - Elephant AI PRO

Module 1

AI management on the other hand

Topics

  • AI Career Options
  • How to Talk About AI So People Will Listen?
  • Data, Algorithm, Model, Predictions
  • DL vs ML vs RL
  • Data Science and Correlations
  • 14 AI Technology Families Review
  • AI Product Management: Matching Technology to the Business Problem
  • Practical Aspects
    • How to Choose the Best AI Career Area for Yourself?
    • Data Correlations
    • Machine Learning, Deep Learning and Reinforcement Learning Around Us
    • Analysis of the AI ​​Problem in a Company
    • Choosing the Right Technology for the Problem in a Company
    • Analysis of Maturity AI companies
 
Module 2

The data is clean money

Topics

  • Understanding Data
  • The Potential Hidden in Your Data - Monetization
  • Data visualization and tools
  • EDA, or practical data analysis
  • You determine the potential of data
  • You verify data for use in the project
  • You acquire data
  • You visualize data
  • You understand EDA and can perform key steps
  • Practical aspects
    • Types of data and their availability
    • Monetizing your data and company data
    • Data visualization
    • EDA simplified
 
Module 3

AI project management and building products AI

Topics

  • CRISP-DM and Methodology Review
  • Data Science Process
  • Agile and Lean Startup Applications
  • AI Project Challenges and Best Practices
  • User Experience of Building AI Products
  • Business Metrics and Data Science
  • Practical aspects
    • Choosing the DS methodology for the project
    • Dealing with the challenges of AI projects
    • Applying UX to the AI ​​project
    • Metric selection
 
Module 4

Effective data band science

Topics

  • Roles in the data science process
  • Building a team
  • Motivation and effective communication
  • Best ways to recruit
  • Practical aspects
    • Building a Data Science Team
    • Effective communication in the Team and motivation

Module 5

Digital transformation

Topics

  • Best practices
  • Digital transformation
  • Selection of projects for the AI ​​portfolio
  • Analysis of the profitability of AI projects
  • Presenting the AI ​​project to the Board
  • Practical aspects
    • Choosing the best projects from the candidate list
    • ROI calculation for AI projects
    • Preparing a project presentation to business decision-makers
 
Module 6

AI Solution Ethics

Topics

  • Ethical Issues in AI
  • Regulations and Standards
  • Analysis of Ethical Risks in AI Project
  • Practical Aspects
    • Analysis AI Ethics Project
    • List of AI Ethics Regulation Proposals
 
Module 7

ML Ops and Enterprise AI

Topics

  • AI Project Lifecycle
  • AI Product Maintenance and Retraining
  • Enterprise AI and ML Ops Platforms
  • Practical Aspects
    • ML Ops Best Practice Selection
    • AI Product Maintenance Planning
    • Model Retraining Planning
    • DS Platform Selection at the Enterprise Level

 

Link to the Full Training Program Elephant AI PRO

Product & Project Manager