This course is designed for managers across various functions who seek to understand and leverage AI technologies to drive business outcomes. It covers foundational AI concepts, practical tools, and industry-specific applications, with a focus on strategic decision-making and innovation in management.
Pre-Requisite:
- Basic understanding of business management and operations.
- Familiarity with general technology concepts.
Target Audience:
- Managers in Marketing, HR, Operations, Finance, and other functional areas.
- Business leaders looking to integrate AI into their strategic planning.
- Professionals aiming to upskill and stay competitive in an AI-driven business environment.
Key Learning Outcome:
By the end of this course, participants will:
- Understand key AI concepts and how they apply to management roles.
- Be able to identify opportunities for AI implementation within their functions.
- Gain familiarity with AI tools and platforms used in business management.
- Learn to evaluate and manage AI projects within their organizations.
- Develop insights into the future of AI in business management.
Delivery Mode & Duration:
- Delivery Mode:
- Online Live
- Hybrid Mode: This batch follows a hybrid learning approach, combining online live sessions with in-person classroom training for a comprehensive learning experience.
- Duration: 120 Hours (60 Hours of Online Live Sessions + 60 Hours of Assignments)
Curriculum
Module 1: Introduction to AI in Business Management
Overview of AI
- Introduction to AI in business, historical context, and its significance.
- Impact of AI on business strategy and decision-making.
Understanding AI
- Key AI concepts, terminology, machine learning vs deep learning.
- Role of AI in enhancing business efficiency and innovation.
AI Trends
- Discussion of current and future trends in AI, including emerging technologies.
- How AI trends are reshaping business models and management practices.
Generative AI
- Introduction to Generative AI, examples like GPT-3, Deepfakes.
- Applications of Generative AI in business contexts.
Ethics in AI
- Ethical considerations, bias, and privacy concerns in AI.
- Managing AI responsibly in a business environment.
Module 2: AI Technologies and Tools for Managers
Fundamentals of AI
- Basic principles of machine learning, algorithms, and neural networks.
- Overview of AI methodologies relevant to management.
AI Tools Overview
- Overview of AI tools like TensorFlow, PyTorch, IBM Watson, and their business applications.
- AI platforms for managers: Analyzing tools for decision-making and analytics.
Data Analytics in AI
- Role of data in AI, introduction to data analysis tools like Tableau, Power BI.
- Understanding how data drives AI and informs business decisions.
AI Tools Workshop
- Hands-on workshop using AI tools for practical business applications.
- Case study exercises to apply AI tools in management scenarios.
Module 3: AI in Strategic Management
AI in Strategic Planning
- How AI enhances strategic planning and forecasting.
- Tools and techniques for AI-driven strategic management.
AI in Financial Management
- AI applications in financial planning, risk management, and investment analysis.
- Tools like Alteryx, IBM Watson in financial decision-making.
AI in Customer Relationship Management (CRM)
- Leveraging AI for customer insights, engagement, and retention.
- AI-driven CRM tools like Salesforce Einstein, HubSpot.
AI in Supply Chain Management
- AI applications in optimizing supply chains, inventory management, and logistics.
- Case studies on AI in supply chain operations.
AI in Talent Management
- AI in recruitment, employee engagement, and talent development.
- Tools like LinkedIn Talent Insights, Pymetrics for HR analytics.
Module 4: Industry-Specific AI Applications
AI in Marketing
- AI for personalized marketing, customer segmentation, and campaign optimization.
- Tools like MarketMuse, Google AI in marketing strategies.
AI in Operations
- AI for process optimization, workflow automation, and operational efficiency.
- Tools like UiPath, Blue Prism in operations management.
AI in Retail Operations
- Case study: AI applications in retail, tools like Salesforce Einstein.
- How AI is transforming retail supply chains, customer experience, and sales.
AI in Manufacturing
- AI-driven predictive maintenance, quality control, and production planning.
- Case studies on AI applications in manufacturing industries.
Module 5: Future of AI in Management
Round Table Discussion on AI Trends
- Discussion on future trends in AI across various management functions.
- Expert panel on the evolving role of AI in business leadership.
Final Project
- Capstone project: Participants will develop a strategy for implementing AI in their respective departments or business units.
- Presentation and peer review of AI implementation strategies.
