What you'll Learn
-
Understand AI agents and their role in automating data analysis tasks.
-
Compare and evaluate AI agent frameworks like CrewAI and Autogen.
-
Design and develop AI agent applications for data analytics.
Who Should Enroll?
-
Individuals: Data scientists, analysts, and developers will learn how AI agents automate data tasks. Business leaders will see how AI improves efficiency and decision-making.
-
Aspiring Students: Students and researchers will explore AI agents for data analytics and gain hands-on experience with CrewAI to build AI solutions.
About the Instructor
Srimugunthan Dhandapani, Technical Lead - Data science, AI & analytics at WellsFargo
Srimugunthan brings over 12 years of experience in data analytics, specializing in prediction models, recommender systems, and more. With a background in computer science and an Executive MBA in product management, he's well-equipped to guide us through the complexities of bias in ML models.
FAQ's
-
What are AI agents, and how do they help in data analysis?
AI agents are automated systems that perform tasks like data collection, cleaning, and analysis. They help streamline workflows, reduce manual effort, and improve decision-making with AI-driven insights.
-
What AI agent frameworks will be covered?
The course explores CrewAI and Autogen, highlighting their features and use cases, with a hands-on focus on building AI agents for data analysis using CrewAI.
-
Will I receive a certificate upon completing the course?
Yes, the course provides a certification upon completion.
-
Will I learn to build a complete AI agent for data analytics?
Yes! The course includes a step-by-step guide to building an AI-powered data analyst agent, covering data handling, automation, and result interpretation.
-
What kind of data tasks can an AI agent automate?
AI agents can automate data extraction, preprocessing, visualization, anomaly detection, report generation, and decision-making processes.