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AI-Powered Business Models: From Strategy to Execution

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Skool of AI

4:48:20

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  • 1 - Introduction.mp4
    06:48
  • 2 - Historical Background and Progression.mp4
    04:57
  • 3 - Contemporary Trends and Future Prospects.mp4
    03:57
  • 4 - Machine Learning and Deep Learning Fundamentals.mp4
    04:09
  • 5 - Natural Language Processing and Computer Vision.mp4
    05:28
  • 6 - Robotics and Automation.mp4
    03:39
  • 7 - Market Research and Customer Demands.mp4
    04:26
  • 8 - Analysis of the Competitive Environment by Using AI.mp4
    04:43
  • 9 - Data Acquisition and Management.mp4
    07:16
  • 10 - Ensuring Data Quality and Preprocessing.mp4
    05:20
  • 11 - Big Data Analysis.mp4
    06:07
  • 12 - Defining AI Objectives and Aims.mp4
    03:26
  • 13 - Developing an AI Roadmap.mp4
    06:39
  • 14 - Budgeting Resource Allocation and Risk Management.mp4
    08:01
  • 15 - Choosing Suitable Algorithms.mp4
    05:25
  • 16 - Model Training and Validation.mp4
    05:11
  • 17 - Model Deployment.mp4
    05:00
  • 18 - AI in Supply Chain Management.mp4
    06:16
  • 19 - AI in Customer Support.mp4
    05:12
  • 20 - AI in Human Resources.mp4
    06:37
  • 21 - AI in Finance and Accounting.mp4
    05:19
  • 22 - Customized Customer Experiences.mp4
    05:54
  • 23 - AI in Product Design and Development.mp4
    06:20
  • 24 - AI in Service Delivery.mp4
    07:03
  • 25 - Ethical AI Practices.mp4
    06:17
  • 26 - Compliance with Regulations.mp4
    06:23
  • 27 - Addressing Bias and Ensuring Fairness.mp4
    07:47
  • 28 - AI Generated Content.mp4
    08:24
  • 29 - Personalization and Customer Engagement.mp4
    07:54
  • 30 - AI in Social Media Marketing.mp4
    05:33
  • 31 - Product Hunting and Research.mp4
    15:51
  • 32 - Inventory Management and Forecasting.mp4
    08:35
  • 33 - Project Overview.mp4
    01:58
  • 34 - AIDriven Graphic Design.mp4
    10:03
  • 35 - Delivering Tailored Design Solutions.mp4
    08:09
  • 36 - Key Performance Indicators KPIs.mp4
    05:10
  • 37 - Return on Investment ROI Analysis.mp4
    05:56
  • 38 - Gathering and Analyzing Customer Feedback.mp4
    08:10
  • 39 - Continuous Improvement Strategies.mp4
    08:43
  • 40 - Addressing Scaling Challenges.mp4
    06:24
  • 41 - Infrastructure Scalability and Global Expansion.mp4
    07:38
  • 42 - Advancements in AI Technologies.mp4
    05:56
  • 43 - Forecasts and Emerging Trends.mp4
    08:17
  • 44 - LongTerm Business Strategies.mp4
    05:28
  • 45 - Final Thoughts and Conclusions.mp4
    06:31
  • Description


    Transformative AI Strategies for Business Growth, Innovation, and Ethics

    What You'll Learn?


    • Understand AI fundamentals and their business applications.
    • Identify AI integration opportunities within various industries.
    • Develop strategic AI roadmaps tailored to business goals.
    • Master data acquisition, management, and quality assurance.
    • Implement AI in key business operations like supply chain, HR, and finance.
    • Build and deploy AI models using suitable algorithms and tools.
    • Innovate products and services through AI-driven strategies.
    • Analyze AI impact using KPIs and ROI for continuous improvement.
    • Navigate ethical and legal considerations in AI deployment.
    • Scale AI solutions across global operations and infrastructure.

    Who is this for?


  • Business professionals looking to integrate AI into their operations
  • Entrepreneurs aiming to innovate with AI-driven business models
  • Data scientists seeking to apply AI in real-world business scenarios
  • Tech enthusiasts interested in the intersection of AI and business
  • Corporate strategists focused on future-proofing their organizations
  • Students and beginners wanting to explore AI in a business context
  • What You Need to Know?


  • Basic understanding of business concepts
  • Interest in AI technologies and their applications
  • No prior AI experience needed
  • A computer with internet access
  • More details


    Description

    Unlock the full potential of artificial intelligence with our comprehensive course on developing AI-powered business models. This course offers a deep dive into harnessing AI technologies to revolutionize your business operations, innovate products and services, and drive strategic growth.

    You will begin with an introduction to AI-powered business models, tracing their historical evolution and exploring contemporary trends and future prospects. Delve into the core AI technologies, including machine learning, deep learning, natural language processing, and robotics, to understand how they can be applied to solve business challenges.

    Learn to identify lucrative business opportunities for AI integration through market research and competitive analysis. Gain essential skills in data acquisition, management, and analysis, which are crucial for building robust AI models. We cover everything from defining AI objectives and developing strategic roadmaps to budgeting and risk management.

    Explore practical applications of AI across various business functions such as supply chain management, customer support, human resources, and finance. Discover how AI can drive product and service innovation, enhance marketing strategies, and streamline operations in areas like Amazon FBA and design services.

    Address ethical and legal considerations to ensure responsible AI use and learn how to assess AI’s impact through KPIs, ROI analysis, and customer feedback. Finally, prepare for scaling your AI solutions and strategize for future advancements in AI technology.

    This course is designed for business leaders, entrepreneurs, and professionals eager to leverage AI for competitive advantage and long-term success. Join us to master the art of integrating AI into your business model and stay ahead in the rapidly evolving AI landscape.

    Who this course is for:

    • Business professionals looking to integrate AI into their operations
    • Entrepreneurs aiming to innovate with AI-driven business models
    • Data scientists seeking to apply AI in real-world business scenarios
    • Tech enthusiasts interested in the intersection of AI and business
    • Corporate strategists focused on future-proofing their organizations
    • Students and beginners wanting to explore AI in a business context

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    We are a team of AI experts, engineers, researchers and enthusiastic professionals who are passionate about advancing artificial intelligence and teaching others. With over 50 years of combined experience building AI systems for a diverse range of industries, our goal is to share this collective knowledge with students who want to learn both the fundamentals and practical application of AI. Our courses are led by multiple instructors, allowing students to gain exposure to our varied areas of specialty - from machine learning to natural language processing to robotics and beyond. With a hands-on, project-driven approach grounded in ethics, we prepare students to apply AI to drive innovation. Join us if you share our excitement for AI and its vast potential!
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 45
    • duration 4:48:20
    • Release Date 2024/10/11

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