Gain practical knowledge and insights into the intricacies of multi AI agent development.

Course Overview

Starting On Thursday, February 6th, 2025

This course offers a balanced mix of theoretical foundations and hands-on experience. Through a series of projects and labs, participants will gain practical knowledge and insights into the intricacies of AI agent development.

Join us to advance your expertise and stay at the forefront of AI technology.

Learning Outcome

By the end of this course, you should be equipped with the skills and knowledge required to design, implement, and manage AI agents in enterprise environments. 

Schedule

START DATE THURSDAY, FEBRUARY 6th, 2025
Periodicity Meets every Thursday and Tuesday for eight weeks
Schedule From 7 PM to 9:30 PM PST

Skills You Will Learn

Agentic principles and best practices, harnessing multiple AI agents to build complex real-world AI applications, a deep-dive into the CrewAI framework

Prerequisites

Python LLMPrompt Engineering

The teaching faculty for this course comprises the instructor, a supportive staff of teaching assistants, and a course coordinator. Together, they facilitate learning through close guidance and 1-1 sessions when needed.

Syllabus details

This curriculum spans eight weeks consisting of 2 sessions per week.  Every week has a theory session on Friday followed by a lab session on the following Tuesday.

In the introduction to Agentic Reasoning, we cover the core principles of effective AI agents

 

You will learn how multiple AI agents can collaborate to achieve more complex tasks by breaking them down to sub-tasks that can be distributed across the agents using various roles and strategies.

We will go through a guided reading of some of the foundational papers in this field

(image taken from link)

We pick CrewAI as the multi AI agent framework since it offers very good features.  You will learn how it can be used to build complex multi agent applications.

You will learn how agents can be enhanced by leveraging tools for carrying out specific tasks.

In this project, you will build an educational platform where AI agents help students learn collaboratively.
In this project, you will build a detailed business plan with all sections such as business strategy, competitive analysis, financial projections, implementation plan, etc.
A multi-agent application to create a good summarization of a topic along with the glossary of key terms pertinent to this topic.

We will walk through a demo of a few interesting multi AI agentic applications across various industry verticals.

Teaching Faculty

Asif Qamar

Chief Scientist and Educator

Background

Over more than three decades, Asif’s career has spanned two parallel tracks: as a deeply technical architect & vice president and as a passionate educator. While he primarily spends his time technically leading research and development efforts, he finds expression for his love of teaching in the courses he offers. Through this, he aims to mentor and cultivate the next generation of great AI leaders, engineers, data scientists & technical craftsmen.

Educator

He has also been an educator, teaching various subjects in AI/machine learning, computer science, and Physics for the last 32 years. He has taught at the University of California, Berkeley extension, the University of Illinois, Urbana-Champaign (UIUC), and Syracuse University. He has also given a large number of courses, seminars, and talks at technical workplaces. He has been honored with various excellence in teaching awards in universities and technical workplaces.

Chandar Lakshminarayan

Head of AI Engineering

Background

A career spanning 25+ years in fundamental and applied research, application development and maintenance, service delivery management and product development. Passionate about building products that leverage AI/ML. This has been the focus of his work for the last decade. He also has a background in computer vision for industry manufacturing, where he innovated many novel algorithms for high precision measurements of engineering components. Furthermore, he has done innovative algorithmic work in robotics, motion control and CNC.

Educator

He has also been an educator, teaching various subjects in AI/machine learning, computer science, and Physics for the last decade.


Teaching Assistants

Our teaching assistants will guide you through your labs and projects. Whenever you need help or clarification, contact them on the SupportVectors Discord server or set up a Zoom meeting.

Kate Amon

Univ. of California, Berkeley

Kayalvizhi T

Indira Gandhi National Univ

Ravi Sati

Kalasalingam Univ.

Harini Datla

Indian Statistical Institute

Kunal Lall

Univ. of Illinois, Chicago

In-Person vs Remote Participation

Participants local to Silicon Valley are encouraged to attend in person at SupportVectors so that they can form strong learning teams and participate in the dynamic learning community. However, it is equally possible to attend all the sessions remotely. The workshops are designed in such a manner as to ensure that remote participants are equally a part of the learning experience.
Each session is live over zoom, and very interactive. A group of teaching assistants will monitor the stream of questions from students, and moderate their participation in the live discussions with other students and the professor during the sessions. Each session is also live broadcast over a dedicated private YouTube link, so that participants may choose to participate live on their TV.
Through the dedicated course portal, the participants will find a wealth of educational resources associated with the subject and the workshop, including recordings of all the sessions, the solutions to the labs and quizzes, etc.

YOUR PATH TO TECHNICAL EXCELLENT IN AI

We strive hard to help you become awesome AI engineers & leaders

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Plutarch

Education is not the filling of a pail, but the lighting of a fire. “For the mind does not require filling like a bottle, but rather, like wood, it only requires kindling to create in it an impulse to think independently and an ardent desire for the truth.

Our Goal: build the next generation of data scientists and AI engineers

The AI revolution is perhaps the most transformative period in our world. As data science and AI increasingly permeate the fabric of our lives, there arises a need for deeply trained scientists and engineers who can be a part of the revolution.

Over 2250+ AI engineers and data scientists trained

  • Instructors with over three decades of teaching excellence and experience at leading universities.
  • Deeply technical architects and AI engineers with a track record of excellence.
  • More than 30 workshops and courses are offered
  • This is a state-of-the-art facility with over a thousand square feet of white-boarding space and over ten student discussion rooms, each equipped with state-of-the-art audio-video.
  • 20+ research internships finished.

Where technical excellence meets a passion for teaching

There is no dearth of technical genius in the world; likewise, many are willing and engaged in teaching. However, it is relatively rare to find someone who has years of technical excellence, proven leadership in the field, and who is also a passionate and well-loved teacher.

SupportVectors is a gathering of such technical minds whose courses are a crucible for in-depth technical mastery in this very exciting field of AI and data science.

A personalized learning experience to motivate and inspire you

Our teaching faculty will work closely with you to help you make progress through the courses. Besides the lecture sessions and lab work, we provide unlimited one-on-one sessions to the course participants, community discussion groups, a social learning environment in our state-of-the-art facility, career guidance, interview preparation, and access to our network of SupportVectors alumni.

Join over 2000 professionals who have developed expertise in AI/ML

Become Part of SupportVectors to Inculcate In-depth Technical Abilities and Further Your Career.