Machine Learning & Generative AI for CXOs & Sr. Managers

Assess maturity for AI readiness | Demystify Artificial Intelligence | 8 Case Studies | Google's No Code Auto ML

Ratings 4.49 / 5.00
Machine Learning & Generative AI for CXOs & Sr. Managers

What You Will Learn!

  • What is Generative AI
  • What is Large Language Model (LLM)
  • Is ChatGPT Strong AI or Weak AI
  • Why AI deployments have risen in the last 10 years
  • What are the core algorithms in AI
  • What is Machine Learning and How is that related to AI
  • What are the privacy challenges in Generative AI
  • How to address privacy challenges of ChatGPT
  • Is RPA really AI
  • What is prompt engineering
  • What are the top use cases of Machine Learning
  • Where should I focus my efforts

Description

Welcome to the program on Machine Learning and Generative AI for CxO's and Sr. Managers.

Everywhere you look, from global headlines to bustling startups, the impact of AI and Machine Learning is undeniable. Especially after the buzz surrounding revolutionary advancements like ChatGPT, there's no longer any doubt: we're in the age of AI.

Ever felt overwhelmed by the storm of terminologies like Large Language Models (LLM), Machine Learning, Generative AI, Transformers, or Strong vs. Weak AI? Or felt that gnawing concern that your competitors might be leveraging AI in ways you haven’t tapped into yet? This course is the remedy to your FOMO (fear of missing out).

Dive in with us as we:

  1. Demystify the realms of AI and ML, differentiating between the potent powers of Strong vs. Weak AI.

  2. Discuss the foundational algorithms such as regression and classification, and learn to assess their accuracy

  3. Unearth the secret sauce behind Generative AI and Large Language Models (ChatGPT) - the captivating world of transformers.

  4. Highlight the technological catalysts, from Big Data to cloud innovations, that are accelerating the AI boom.

  5. Navigate through real-world case studies in machine learning, unveiling success stories in fraud detection, demand planning, anomaly detection, predictive maintenance, customer experience and more.

  6. Explore how models think with 'Explainable AI (XAI)' – As users demand insight & visibility into machine decisions, XAI empowers you to bridge the gap between human intuition and algorithmic reasoning.

  7. Discuss the pressing concerns surrounding Generative AI, its implications on privacy and how to overcome the privacy challenges.

  8. Create your own custom LLM web applications to leverage your knowledge repository.

  9. Conclude with cutting-edge insights on Robotic Process Automation and the wonders of AutoML via Google Vertex.

But that's not all:


  • The technical content is meticulously curated to be as non-technical as possible, making it accessible to leaders from all backgrounds.

  • The course is led by an industry stalwart who has managed Technology, Operations and Strategy in large MNCs and nimble startups. He is the Founder and CEO of an AI startup (SeaportAi).

  • Recognizing the dynamic nature of AI, this course remains a live document. Continuously updated to keep stride with AI’s swift-paced advancements, it has successfully run for over 2 years, boasting nearly 11k enthused learners.

Equip yourself with the knowledge that could redefine your strategic direction. Stay not just relevant, but pioneering, in today's rapidly evolving tech landscape. Join us, and be the AI-savvy leader your organization needs.


Testimonials:

"The course was well explained by the instructor. All the concepts were taught in an easily understandable way!"

"Great course. Gave me a solid foundation and helped to clear up some of my confusion."

"Very Well Explained with real examples !!!"

"Very informative course and shows reality of science to human life."

"The distinction between technologies was explained clearly. Liked the examples."

"Before this course, I thought AI, RPA and Industry 4.0 are all same. This course clarified these jargon to me. Overall good course."


Who Should Attend!

  • CXOs
  • Managers
  • Technology Enthusiasts
  • Business Owners
  • Students
  • Any one interested in understanding and applying these technologies for business use

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Tags

  • Artificial Intelligence
  • Machine Learning
  • AutoML Automated Machine Learning

Subscribers

11845

Lectures

51

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