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2Days/16 Hours Price:45,000
40,000
Artificial Intelligence (A.I.) for Managers (with Industry Use Cases)
Artificial Intelligence (A.I.) is revolutionizing the business landscape, offering unprecedented opportunities for innovation and efficiency. This two-day online course is designed to equip managers with the knowledge and skills to leverage A.I. in their organizations. Through a combination of theoretical insights, industry use cases, and hands-on activities, participants will gain a comprehensive understanding of A.I. and its strategic applications.
Key Learnings:
Understand fundamental A.I. concepts and terminologiesExplore different types of A.I. technologies and their real-world applications
Analyze industry-specific use cases of A.I.
Develop strategies for implementing A.I. solutions in business
Address ethical considerations and challenges in A.I. deployment
Gain practical experience in building a simple A.I. model
Familiarize with popular A.I. tools and platforms
Learn how to foster an A.I.-ready culture within organizations
Identify career paths and opportunities in the field of A.I. for managers
Course Content:
Day 1: Understanding AI and Its Applications
Welcome and course objectivesOverview of the agenda
Introduction to Artificial Intelligence
What is AI?History and evolution of AI
Key concepts and terminologies
Types of AI Technologies
Machine Learning (Supervised, Unsupervised, Reinforcement Learning)Natural Language Processing (NLP)
Computer Vision
Robotics
Expert Systems
AI in Industry – Use Cases
Healthcare: Predictive diagnostics, personalized medicineFinance: Fraud detection, algorithmic trading
Retail: Customer recommendations, inventory management
Manufacturing: Predictive maintenance, quality control
Marketing: Customer segmentation, sentiment analysis
AI Implementation Strategies
Identifying business problems for AI solutionsData collection and preparation
Selecting the right AI tools and technologies
Building and training AI models
Ethical Considerations and Challenges in AI
Bias and fairness in AIData privacy and security
Transparency and explainability
Regulatory and legal issues
Day 2: Practical AI Implementation and Career Path Guidance
AI Project Lifecycle
Project scopingData collection and preprocessing
Model development and training
Model deployment and monitoring'
Hands-on Workshop: Developing a Simple AI Model
Selecting a use case (e.g., customer churn prediction)Data exploration and preprocessing
Building and training a machine learning model
Evaluating model performance
AI Tools and Platforms
Overview of popular AI tools (TensorFlow, PyTorch, Scikit-learn)AI as a Service (AIaaS) platforms (Google AI, AWS AI, Microsoft Azure AI)
Case studies of successful AI implementations using these tools
Building an AI-Ready Culture
Encouraging innovation and experimentationTraining and upskilling teams
Collaborating with AI experts and consultants
Creating an AI governance framework
Career Path in AI for Managers
Roles and responsibilities in AI projectsSkills and qualifications needed
Career progression and opportunities
Building a personal learning path
Prerequisites:
No prior knowledge of A.I. is requiredBasic understanding of business and management principles
Familiarity with data-driven decision-making processes is beneficial
Career Path
AI Project ManagerAI Consultant
Business Intelligence Manager
Data Science Manager
Strategic Planning Manager
Innovation Manager
International Student Fees: USD175$
Job Interview Preparation (Soft Skills Questions & Answers)
Tough Open-Ended Job Interview QuestionsWhat to Wear for Best Job Interview Attire
Job Interview Question- What are You Passionate About?
How to Prepare for a Job Promotion Interview
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Internships, Freelance and Full-Time Work opportunities
Join Internships and Referral Program (click for details)
Work as Freelancer or Full-Time Employee (click for details)
Flexible Class Options
Week End Classes For Professionals SAT | SUNCorporate Group Training Available
Online Classes – Live Virtual Class (L.V.C), Online Training
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