Grow your AI Career
with Sudha Jamthe’s courses on LinkedIn Learning
Learn AI with no-code for Product and Business Leaders
No-Code AI: Harness the Power of AI without Programming
In this course, you’ll learn how to leverage no-code AI to create AI models that can enhance your projects and initiatives. For example, you could apply the skills gained from this course to automate processes or develop AI-driven solutions that improve customer engagement in your software project.
No-Code Generative AI for Business Professionals
You will learn how to harness generative AI to create impactful business solutions without any coding experience. For instance, you could apply the skills from this course to develop a chatbot that enhances customer engagement for your projects at LinkedIn, streamlining interactions and providing insights from your data.
Learn AI in IoT and Autonomous Vehicles
Learn how to design intuitive, human-centered artificial intelligence specifically for autonomous vehicles, which can greatly enhance your skills in product leadership and digital transformation. For instance, you could apply the design principles from this course to create user-friendly AI interfaces that improve the overall experience of autonomous vehicle users.
In this course, you’ll learn how to build AI models from IoT data without any coding, which can significantly enhance your ability to integrate AI into software products. For example, you might apply these skills to develop a machine learning model that predicts customer churn for a software product, helping your team make data-driven decisions.
Advance your AI Career
Learn how to design autonomous AI solutions that can automate business workflows without the need for coding. For example, if you’re looking to enhance product leadership in your role, you can apply the concepts from this course to create AI agents that streamline marketing processes or improve customer experience in your projects.
AI Trends
Here’s what you will learn in the course:
- How AI is redefining the nature of work and its implications for various industries.
- Practical use cases for ChatGPT plugins and how they can be utilized in workflows.
- The limitations of generative AI and important considerations for its use.
- Fundamentals of prompt engineering to improve interactions with AI tools.
- An overview of how facial recognition technology works at a high level.
Testimonial
What Our Learners Are Saying

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