Developing Agentic AI Systems

Developing Agentic AI Systems will help you stay on the cutting edge of AI. This course is an intensive three-day workshop designed for developers already proficient with LLM systems who are ready to take their skills to the next level. Participants will transcend conventional LLM applications, learning to architect, build, and deploy sophisticated autonomous agents. Along the way, they’ll gain mastery over the intricate architectures of intelligent agents, navigate the dynamic ecosystem of specialized tools, using advanced techniques to build secure, robust, and effective agentic systems. Emerge equipped to engineer the next generation of intelligent solutions, commanding newfound capabilities to address complex challenges with unprecedented autonomy. Participants will also master the architecture of intelligent agent teams, leverage specialized frameworks, and utilize effective communication protocols.

Duration

3 days

Audience

Developers, Data Scientists, Data Engineers, Machine Learning Engineers, MLOps professionals, DevOps professionals.

prerequisites

Participants should have solid skills in Python, basic experience with machine learning, and solid understanding of LLMs and LLM systems.

Developing Agentic AI Systems ensures participants are able to:

• Understand the architecture of LLM agents and their core components Navigate the ecosystem of
  libraries, utilities, and models for agentic AI Acquire hands-on experience building and evaluating
  LLM agents
• Develop practical knowledge to build and test agentic systems for maximum robustness Learn how to
  optimize agent prompts and sampling parameters for greater performance Build the skills and
  understanding to develop agentic LLM solutions
• Understand the fundamental principles and mechanisms of multi-agent AI, including various
  frameworks, architectures, and inter-agent communication protocols.
• Gain experience designing and implementing specialized AI agents, and orchestrating their
  collaboration within multi-agent systems to tackle complex tasks.
• Become familiar with the parallels between multi-agent AI and common engineering concepts, such as
  asynchronous programming and zero-trust.

Register 21 days before class start date and save 10%! Enter discount code EARLY10 during registration.

Register 21 days before class start date and save $250! Enter discount code EARLY250 during registration.

Is there a discount available for current students?

UMBC students and alumni, as well as students who have previously taken a public training course with UMBC Training Centers are eligible for a 10% discount, capped at $250. Please provide a copy of your UMBC student ID or an unofficial transcript or the name of the UMBC Training Centers course you have completed. Asynchronous courses are excluded from this offer.

What is the cancellation and refund policy?

Student will receive a refund of paid registration fees only if UMBC Training Centers receives a notice of cancellation at least 10 business days prior to the class start date for classes or the exam date for exams.