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    Ai For Business: Strategy, Automation, Competitive Advantage

    Posted By: ELK1nG
    Ai For Business: Strategy, Automation, Competitive Advantage

    Ai For Business: Strategy, Automation, Competitive Advantage
    Published 9/2025
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 1.21 GB | Duration: 2h 36m

    Leverage ChatGPT, Gemini, Claude & other AI tools to automate processes, enhance productivity, and boost business growth

    What you'll learn

    Learn strategies to outperform your competitors using AI in business.

    Build groundbreaking projects with ChatGPT, Gemini, Claude, and other cutting-edge AI tools.

    Transform your marketing, sales, finance, HR, and logistics processes through automation.

    Harness AI to revolutionize data analysis, content creation, and visual design.

    Develop game-changing AI strategies that set your business apart.

    Elevate customer experience to boost loyalty and sales.

    Foster an AI-driven culture within your team for higher efficiency.

    Complete your digital transformation faster and more cost-effectively.

    Master AI tool selection and implementation for real business impact.

    Make faster, smarter decisions with data-driven insights.

    Create your own AI integration roadmap inspired by real business scenarios.

    Understand the ethical, secure, and sustainable use of AI.

    Build a long-term AI vision that prepares your organization for the future.

    Scale your business processes to be flexible, efficient, and future-ready.

    Achieve more results with fewer resources through AI-driven optimization.

    Turn AI into the engine of profitability, growth, and innovation in your business.

    Requirements

    A computer, laptop or smart phone with a stable internet connection

    Basic knowledge of workplace or business operations (no prior technical expertise required)

    An open mindset, willingness to experiment, and readiness to apply AI tools in real-world tasks

    Description

    Artificial Intelligence (AI) is no longer just a technology trend—it has become a strategic power that transforms business operations, decision-making processes, and customer experiences. Companies of all sizes now use AI to optimize workflows, reduce costs, gain a competitive edge, and accelerate digital transformation.This comprehensive course is designed for business leaders, entrepreneurs, and professionals who want to understand, adopt, and implement AI in the business world. You’ll learn how large language models (LLMs) and generative AI tools such as ChatGPT, Claude, and Gemini can be applied to everything from content creation and data analysis to reporting and decision support systems.We’ll start by exploring the evolution of AI—from manual processes to digitalization, and finally to AI-powered automation—and how this shift has revolutionized business models. Then, you’ll discover practical applications of AI across key departments such as marketing, sales, human resources, finance, logistics, and operations.Throughout the course, you’ll gain skills in:Personalizing the customer experience using AIIncreasing operational efficiency and automating workflowsMaking data-driven business decisionsSelecting the right AI tools for your organizationManaging cultural transformation and employee adoptionThis training covers not only the technical side but also strategic aspects like data management, AI strategy development, and change leadership. You’ll understand that AI integration is not just a software investment—it’s an organizational transformation—and you’ll learn how to lead this process effectively.By the end of the course, you will be able to use AI as a strategic lever to achieve greater productivity, faster decision-making, and sustainable competitive advantage—both at an individual and corporate level.Enroll now and start exploring the limitless opportunities AI offers in the business world!Disclaimer: Some parts of this course were created or enhanced using artificial intelligence tools. All materials have been carefully reviewed and edited by the instructor to ensure accuracy and quality.

    Overview

    Section 1: Introduction to Artificial Intelligence

    Lecture 1 What Will You Learn?

    Lecture 2 What is AI

    Lecture 3 The History of Artificial Intelligence

    Lecture 4 Layers of Artificial Intelligence

    Lecture 5 Artificial Intelligence Models

    Lecture 6 AI’s Differences from Other Technologies

    Lecture 7 Why AI Now?

    Lecture 8 Impact of AI on the Business World

    Lecture 9 Examples of Competitive Advantage - Amazon Case

    Lecture 10 Examples of Competitive Advantage - Netflix & Loreal Cases

    Lecture 11 Examples of Competitive Advantage - Maersk & PWC Cases

    Lecture 12 Effects of Artificial Intelligence on Different Sectors

    Lecture 13 Artificial Intelligence in Sectors: Google & HSBC

    Lecture 14 Artificial Intelligence in Sectors: Tesla & Siemens

    Lecture 15 Artificial Intelligence in Sectors: Unilever & IBM Watson

    Lecture 16 Artificial Intelligence in Sectors: Hyundai & Sephora

    Lecture 17 Risks of Artificial Intelligence and Mitigation Strategies

    Lecture 18 Integration Challenges with Existing Systems

    Lecture 19 Development of Technological Skills and Adaptation Process

    Lecture 20 High Costs and Return on Investment (ROI) Process

    Lecture 21 Protection of Personal Data and Regulations

    Lecture 22 Data Breaches

    Lecture 23 Conclusion

    Section 2: Integrating Artificial Intelligence into Business

    Lecture 24 What Will You Learn?

    Lecture 25 LLM-Powered Automation: Transform Knowledge Work with AI

    Lecture 26 AI Integration Process into the Business

    Lecture 27 Use-Case Discovery: Needs Analysis for Business

    Lecture 28 Technology Selection and Infrastructure Preparation

    Lecture 29 Cultural transformation and Employee Training

    Lecture 30 Start Small: Testing and Validating Business Processes

    Lecture 31 Data Management and Quality Assurance

    Lecture 32 Analysis and Measurement of Results

    Lecture 33 Boosting Efficiency with Artificial Intelligence

    Lecture 34 Exploring AI Applications in Corporate Environments

    Lecture 35 Use of AI in Operational Processes

    Lecture 36 AI-Powered Strategies for Better Customer Experience and Higher Income

    Lecture 37 Using Artificial Intelligence to Accelerate Product Design

    Lecture 38 AI in Risk Management, Finance and Forecasting

    Lecture 39 Example Applications of AI in Business Processes

    Lecture 40 Real-World AI in Action: Netflix & Amazon Use Cases

    Lecture 41 Real-World AI in Action: Bosch Use Case

    Lecture 42 Real-World AI in Action: Unilever Use Case

    Section 3: AI-Powered Business Management: Driving Efficiency and Innovation

    Lecture 43 What will You Learn?

    Lecture 44 Mastering LLMs & Prompt Engineering with No-Code AI Tools

    Lecture 45 AI Use Cases in Business Processes

    Lecture 46 Real-World AI in Action: Spike

    Lecture 47 Real-World AI in Action: Spiky.ai

    Lecture 48 Real-World AI in Action: Taskade

    Lecture 49 Real-World AI in Action: Whimsical

    Lecture 50 Real-World AI in Action: FormulaBot

    Lecture 51 Real-World AI in Action: Napkin

    Lecture 52 Real-World AI in Action: Julius AI

    Lecture 53 Real-World AI in Action: Supademo

    Lecture 54 Real-World AI in Action: Productboard

    Lecture 55 AI-Powered Leadership: Shaping the Future of Business

    Business owners, entrepreneurs, and startup founders who want to integrate AI into their workflows.,Managers and team leaders looking to improve operational efficiency and decision-making with AI.,Marketing, sales, HR, finance, and operations professionals seeking to leverage AI tools for their specific functions.,Professionals aiming to gain a competitive edge by adopting AI-driven strategies in their industry.,Anyone interested in learning practical ways to use ChatGPT, Gemini, Claude, and other AI tools for real business impact.,No prior technical background required—perfect for beginners in AI who want to apply it directly to business use cases.