Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

Course Brochure

Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Agentic AI Applications with Codex

Course Code: C695
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What's This Course About

This course equips learners with practical skills to design, build, test, and optimise agentic AI applications using Codex. Participants will use Codex as an AI coding agent to translate application requirements into working software, understand existing codebases, generate and refactor code, diagnose issues, and validate solutions through testing and review.

Learners will explore the core components of agentic applications, including structured workflows, tool use, memory, context management, retrieval-augmented generation (RAG), action loops, human approvals, and multi-agent coordination. They will connect applications to external systems and data sources using Model Context Protocol (MCP) tools and develop reusable Skills for consistent, task-specific workflows.

The course covers the end-to-end development process, from defining use cases and planning system architecture to implementing interfaces, integrating APIs, managing data, and deploying functional applications. Participants will also use Codex to create tests, evaluate outputs, troubleshoot failures, improve reliability, and document their solutions.

Emphasis is placed on secure coding, permission control, data privacy, responsible AI practices, and human oversight. By the end of the course, learners will be able to use Codex to develop production-oriented agentic AI applications that can retrieve information, use tools, complete multi-step tasks, and support real-world business processes.

Course Fee

MYR350.00

Course Date

Course Time

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1 Agentic AI Application Planning and Development with Codex

  • What is an Agentic AI Application?
  • Setting Up Codex as an AI Coding Agent
  • Translating Requirements into Working Software
  • Understanding, Generating and Refactoring Code
  • Diagnosing Issues and Validating Solutions

Topic 2 Building Reusable AI Workflows with Codex Skills and MCP Tools

  • Structured Workflows, Tool Use and Action Loops
  • Memory and Context Management
  • Connecting to External Systems with Model Context Protocol (MCP)
  • Developing Reusable Codex Skills
  • Human Approvals and Permission Control

Topic 3 Developing RAG and Multi-Agent Applications with Codex

  • Retrieval-Augmented Generation (RAG) Fundamentals
  • Integrating APIs and Managing Application Data
  • Implementing Application Interfaces
  • Multi-Agent Coordination Patterns
  • Deploying a Functional Agentic Application

Topic 4 Testing, Evaluating and Optimising Agentic AI Applications

  • Creating Tests and Evaluating Outputs with Codex
  • Troubleshooting Failures and Improving Reliability
  • Secure Coding and Data Privacy
  • Responsible AI Practices and Human Oversight
  • Documenting and Optimising Your Solution

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE O Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

You can sign up for the following:

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • AI Developer
  • Machine Learning Engineer
  • AI Solutions Architect
  • Data Scientist
  • AI Agent Engineer
  • Software Developer
  • AI Product Manager
  • Data Engineer
  • Prompt Engineer
  • AI Automation Consultant
  • Application Developer
  • R&D Engineer (AI)
  • Technical Consultant (AI)
  • Business Intelligence Analyst
  • Innovation Manager
  • Systems Analyst
  • Tech Project Manager
  • Automation Engineer
  • AI Research Assistant
  • Solution Developer

Trainers

Trainers

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

Review

Customer Reviews (5)

Very useful course Review by Course Participant/Trainee
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Very informative and interactive. The small class size meant we got a lot of personal attention. (Posted on 24/04/2026)
Would attend again Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The trainer was knowledgeable and explained the concepts clearly with real-world examples. (Posted on 22/03/2026)
Engaging trainer Review by Course Participant/Trainee
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The trainer is an expert in the subject and shared many practical insights from real projects. (Posted on 12/06/2025)
Great learning experience Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The course materials were detailed and easy to reference afterwards. Great value for money. (Posted on 04/02/2025)
Knowledgeable trainer Review by Course Participant/Trainee
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2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The course materials were detailed and easy to reference afterwards. Great value for money. (Posted on 03/02/2025)

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