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Agentic AI Builder™

Agentic AI Builder™

RM 3,600.00Price

Agentic AI Builder™ is an advanced, instructor-led training program designed for technical professionals who want to build and deploy real-world AI agents that can automate complex tasks and workflows.

 

As organizations move beyond basic AI usage into agentic AI systems, the demand for professionals who can design and implement intelligent agents is rapidly increasing. Unlike traditional automation, AI agents can reason, make decisions, and interact with systems dynamically to complete tasks that would otherwise require human judgment. This course focuses on the practical implementation of such agents, transforming business requirements into working AI solutions.

 

Over three days, participants will learn how to build an AI agent from the ground up—starting from environment setup to deployment in production environments. The course emphasizes hands-on development using Python, large language models (LLMs), and modern AI engineering techniques.

 

Training Duration: 3 Days

  • Certificate Of Completion Available
  • Group Private Class
  • VILT Class Available
  • SBL-Khas Claimable
  • Your organization has assessed its need and ability to implement one or more AI agents with minimal risk. Now it's just a matter of building those agents—that's where you come in. In this course, you'll translate business requirements into a functional AI agent that can automate complex tasks and processes that would otherwise require significant human effort. Ultimately, this can lead to improved user productivity, a reduction in operational costs, and enhanced employee and customer satisfaction.


    This is the second course in a series and is meant to build upon the foundation of the first course by giving technical practitioners the skills they need to successfully build agentic AI into their organizations.

Frequently Asked Questions

An AI agent is a system that can autonomously perform tasks, make decisions, and interact with tools or systems to achieve specific goals.

This course is suitable for programmers, DevOps engineers, IT professionals, and technical specialists working on AI or automation projects.

Yes. Participants should have programming experience, preferably in Python, and foundational knowledge of AI concepts.

Retrieval-Augmented Generation (RAG) is a technique that enhances AI responses by retrieving relevant external data and combining it with model-generated outputs.

Tools include Python, APIs, LLM services (such as OpenAI), Docker environments, and development tools like Visual Studio Code.

Yes. This course is HRDC claimable, subject to HRDC approval and company eligibility requirements.

Yes. The course can be tailored to your organization’s AI architecture, workflows, and use cases.

Yes. This course prepares participants for the CertNexus Agentic AI Builder™ (AGB-110) certification.


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