AI Strategy for Business Leaders with ChatGPT, ML & DL

Packt via Coursera

Go to class Write review

Details

Go to class

Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Paid Certificate Available
Duration & workload

11 hours 7 minutes
Sessions

On-Demand
Subtitles

English

Found in

Overview

Coursera Flash Sale

40% Off Coursera Plus for 3 Months!

Grab it

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Artificial Intelligence (AI) is transforming industries, and as a business leader, understanding its potential is essential for maintaining competitive advantage. This course empowers you to implement AI strategies effectively, focusing on real-world applications like ChatGPT, Machine Learning (ML), and Deep Learning (DL). You will gain hands-on experience in navigating AI tools, evaluating business solutions, and understanding AI's role in decision-making processes. The journey begins with an exploration of AI fundamentals and debunking myths, offering you a foundational understanding of AI's capabilities. You'll then dive into the current landscape, examining the latest trends, case studies, and product innovations that are shaping AI's impact on business. The course also includes practical exercises on integrating AI into business operations, measuring ROI, and leveraging cloud tools and AI platforms like Google Cloud, TensorFlow, and Amazon AWS. Throughout the course, you’ll hear from expert AI consultants and learn from successful business applications, gaining insights on how to make AI adoption seamless in your organization. From selecting the right AI solutions to managing change and risks, this course is packed with essential knowledge for leading AI-driven transformations. This course is ideal for business leaders, entrepreneurs, and managers seeking to harness the power of AI in their organizations. No prior technical knowledge of AI is required, though an understanding of business operations is beneficial.

Syllabus

Introduction

In this module, we will introduce the course and provide a roadmap for your learning journey. You'll explore real-world AI applications, clarify common AI misconceptions, and gain a high-level understanding of AI models, quantum computing, and the vital role of business leaders in AI adoption. Finally, we will examine the exponential growth of AI and its impact across industries.

Current Status of AI

In this module, we will explore the current landscape of AI and its widespread adoption in businesses. You’ll gain insights into different AI categories, understand how companies implement AI for competitive advantage, and discover emerging technologies like AI avatars and personal AI clones that are transforming user experiences.

Updates On New AI Products

In this module, we will keep you updated on cutting-edge AI developments, including breakthrough models, disruptive companies, and the latest trends in AI-powered business solutions. We’ll also explore how quantum computing is influencing AI progress and what it means for the future of AI-driven decision-making.

AI Case Studies

In this module, we will dive into case studies of AI-powered success stories, from AlphaGo’s pioneering achievements to AI-driven personalization at Spotify. We’ll also explore how AI is revolutionizing industries like manufacturing and fragrance creation, culminating in a deep-dive analysis of AI’s impact on production line efficiency.

AI Predictions and Trends

In this module, we will look into the future of AI, analyzing expert predictions and emerging trends. You’ll explore the transformative impact of AI across industries and gain insights into how businesses can stay ahead by leveraging AI innovations.

Implementing AI in Business

In this module, we will explore practical strategies for successfully implementing AI in business. You'll learn how to choose AI solutions, assess data quality, calculate ROI, and apply decision-making frameworks. Additionally, we’ll cover rapid prototyping techniques and real-world examples of businesses achieving success with AI.

Places to Find AI/ML Models, Data, Tools, etc.

In this module, we will introduce a comprehensive list of AI and ML tools, platforms, and resources. You’ll explore cloud services, open-source frameworks, and specialized platforms like Hugging Face and Kaggle, equipping you with the knowledge to leverage AI for business innovation.

Interviews with AI Consultants

In this module, we will hear directly from AI consultants on how they approach AI integration, measure success, and manage risks. You’ll gain valuable insights into AI consulting best practices, including client requirement gathering, rapid prototyping, and ethical considerations in AI deployment.

Organizational Culture for AI

In this module, we will explore how organizations can build a culture that embraces AI. You’ll learn practical steps for driving AI adoption, ensuring ethical AI outputs, and aligning AI initiatives with business goals.

AI in Project Management

In this module, we will explore how AI is transforming project management. From AI-driven decision-making to task automation, you’ll discover practical applications of AI in streamlining workflows, improving productivity, and managing complex projects.

Challenges and Risks

In this module, we will examine the critical challenges businesses face when implementing AI, including regulatory concerns, ethical dilemmas, and transparency issues. You’ll gain insights into managing risks and ensuring responsible AI development and deployment.

Conclusion and Key Takeaways

In this final module, we will wrap up the course by summarizing key takeaways and outlining next steps for integrating AI into your business strategy. You’ll leave with a clear roadmap for AI adoption and insights to stay ahead in the evolving AI landscape.