Overview
Understand what are AI agents, Identify the business use cases for AI Agents, Learn about concepts, terminology and architecture patterns for AI Agents, Design and build simple AI agents with minimal coding, Understand about safeguards and observability, Learn how to succeed with your AI project, Practice building AI Agents using Amazon Bedrock and multiple LLMs, Get a peek into advanced technology concepts
Managers interested in learning about how AI Agents can be used in their business, Non technical users who would like to learn about AI Agents, Technical users who are looking for an introductory course to jumpstart their learning of AI Agents
No programming is needed to learn the theory, concepts of AI agents and watch the demos., A basic background in Computer Science and knowledge of Generative AI (LLMs) would be useful., If you like to code or try out the demos, you will need a basic background in Python
This is an introductory course on AI Agents.
AI agents are emerging as a game changing technology for enterprises.
Companies of all sizes are seizing this opportunity to transform themselves to AI enabled enterprises. Companies in Financial Services, Healthcare, Customer Service, Retail and more, whether they are established companies or startups, are quickly redesigning their business processes with Agentic AI.
By having AI agents work with their existing IT landscape, businesses can reengineer their workflows and processes to be more automated and more efficient. By designing collaborative solutions which involve humans working together with AI agents, they will be able to improve productivity by leaps and bounds.
In fact, some are already calling Agentic AI as the new Operating System for enterprises because it can touch almost all of software.
The course is ideal for entry level technology professionals and managers interested in learning about this exciting topic. It will introduce the concepts of AI agents with lots of examples.
It will then discuss popular use cases in business and provide you guidance on selecting and succeeding in your AI project. Along the way, it will highlight some of the risks and safeguards that you need to take while deploying AI agents in production.
At the end of this course, you will gain comprehensive understanding of the technology and its potential. It will set you up for success in your next AI agent project.
Join me in this exciting journey on AI Agents!
Varad V
As the Founder and CEO of ConnectedWorld Technology Solutions, I leverage my extensive experience and expertise in AI and Machine Learning, IT and business consulting to deliver cutting-edge solutions with a focus on AWS. My mission is to help clients harness the power of AI/ML to create value, optimize performance, and drive innovation in their businesses.
Before launching ConnectedWorld, I spent over three decades in Technology Management and Consulting. More recently, I was a strategic advisor to CXOs at Amazon Web Services and Salesforce in the USA, where I led multi-million dollar projects, managed end-to-end product releases, and designed and implemented cloud-native and hybrid cloud solutions for global clients.
I am passionate about sharing my knowledge and insights through blogging, self-publishing, and speaking at industry events. I'm an active blogger on AWS, Salesforce and medium and have written two books under the pen name Jee Va, that are available from Amazon.
I have numerous certifications in AI/ML, AWS, Salesforce and other leading platforms.
I hold advanced degrees in engineering (IIT Madras), computer science (GWU), and business administration (NYU, MIT) in the USA.