• Home
  • AI Agents Fundamentals for Beginners

AI Agents Fundamentals for Beginners

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Corporate Office Suite, KL Gateway, No. 2, Jalan Kerinchi, Gerbang Kerinchi Lestari, 59200 Kuala Lumpur, Malaysia

Course Brochure

Download 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.

AI Agents Fundamentals for Beginners

Course Code: C690

9 Review(s) | Add Your Review

Share

What's This Course About

This AI Agents Fundamentals for Beginners course equips learners with the knowledge and practical skills to design, build, and deploy AI agents that automate business processes, improve productivity, and support intelligent decision-making. Participants will learn how AI agents combine large language models (LLMs), reasoning, planning, memory, and tool integration to perform business tasks autonomously while collaborating effectively with human users.

The course introduces the fundamentals of agentic AI, prompt engineering, context engineering, and AI-powered workflow automation. Learners will gain hands-on experience in building AI agents that can retrieve information, interact with enterprise applications through APIs, execute business workflows, and automate repetitive tasks across different business functions.

Participants will also explore Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), memory management, multi-agent collaboration, and human-in-the-loop workflows to develop reliable, context-aware, and scalable AI solutions. Practical exercises demonstrate how AI agents can be applied to customer service, sales, marketing, finance, human resources, operations, and knowledge management.

The course further covers responsible AI practices, governance, security, guardrails, and deployment considerations to ensure AI agents operate safely and effectively in enterprise environments. By the end of the course, learners will be able to design, develop, and deploy business AI agents that integrate with existing systems, automate end-to-end processes, and create an AI-powered digital workforce capable of increasing organisational efficiency, innovation, and business value.

Why Take This Course?

  • Hands-On Learning Learn by doing. Every topic is practised hands-on, so you leave with skills you can use at work straight away.
  • Live Coaching Experienced instructors coach you live, answer your questions and guide you step by step.
  • Free Post-Course Consultation Stuck after class? Message your trainer any time for guidance as you apply what you have learned.
  • Always-Updated Materials Materials are refreshed to stay relevant. Log in to our LMS any time to get the latest version.
HRD Corp Claimable

🏦 HRD Corp Claimable

This course is HRD Corp claimable for eligible employers. Grant approval and reimbursement remain subject to HRD Corp requirements, the employer’s available levy and the approved grant details. How the HRD Corp process works →

Course Fee

MYR2,200.00
+ 8% SST

Course Date

Course Time

* Required Fields

Course fees are shown before SST. An 8% SST is included in the estimated total during registration.

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: Foundations of AI Agents for Business

Topic 2: Building and Integrating Business AI Agents

Topic 3: Intelligent Business Automation with AI Agents

Topic 4: Deploying, Governing, and Optimising AI Agents

Course Info

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: 21-65 years old

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

Hardware: Windows PC or Mac laptop

Job Roles

Job Roles

  • Innovation Manager
  • Business Strategist
  • AI Product Manager
  • Data Scientist
  • Business Intelligence Analyst
  • Digital Transformation Specialist
  • R&D Specialist
  • AI Solutions Architect
  • Chief Technology Officer (CTO)
  • Marketing Innovation Specialist
  • Operations Manager (with AI focus)
  • Startup Founder (AI-driven ventures)
  • IT Project Manager (AI integrations)
  • Customer Experience Strategist
  • Supply Chain Innovation Manager

Trainers

Trainers

For anyone taking a first step into AI agents, Dr. Alfred Ang offers the perspective of someone who builds them for real use. Dr. Ang is a full-stack AI developer, Agentic AI solution architect and corporate trainer, and serves as Chief Technology Officer of Tertiary Infotech Academy Pte Ltd, the Singapore training organisation behind Tertiary Courses, designing complete solutions from front-end interfaces and back-end services to databases, cloud deployment and native mobile apps. The public portfolio of more than 300 repositories on GitHub contains agents at every level of complexity. Simple examples include a no-code retrieval-augmented chatbot on n8n that answers questions from uploaded PDFs through Telegram, and a course-enquiry chatbot for a bakery training centre. More advanced ones include an inventory forecasting agent that runs on a local language model through Ollama, an HR portal whose chatbot is protected by input and output guardrails and whose leave requests go through human approval, and a stock analysis agent that responds on Telegram. Dr. Ang also built a self-hosted, AI-powered learning and training management system with AI agent automation, an AI-powered CMS on the Claude Agent SDK with a self-improving chatbot, a digital-human avatar trained on business content, and an AI interview practice tool where an AI hiring manager questions candidates across six roles. Together, these projects show agents moving from simple demonstrations to genuinely useful business tools that save time every day. Every agent in that list was built to solve a real task, not to impress in a demo.

AI Agents Fundamentals for Beginners uses that range of examples to make agents understandable to non-specialists. Dr. Ang begins with the foundations of AI agents for business: how large language models, reasoning, planning, memory and tools combine into an agent, and how agents differ from chatbots and traditional automation. The second topic moves to building and integrating business AI agents, where learners use beginner-friendly no-code and low-code tools to create an agent, connect it to documents and business applications, and test it with realistic requests. In the third topic, learners apply agents to intelligent business automation such as answering customer enquiries, triaging emails, summarising reports or preparing routine updates, and they identify which tasks in their own role are good candidates. The final topic covers deploying, governing and optimising AI agents: guardrails, human approval steps, data privacy, monitoring and how to measure whether an agent is actually saving time. Dr. Ang avoids jargon, explains each idea with a working demonstration and then lets learners build alongside, so even those with no coding background finish with something that works. Real lessons from deployed agents, including what happens when an agent receives an unexpected question, are shared openly. Participants leave with a working agent, a simple framework for evaluating use cases and the confidence to continue learning. Learners also receive a short checklist for deciding whether a task really needs an agent. To see the full range of agents Dr. Ang has built, visit https://github.com/alfredang

Review

Customer Reviews (9)

Practical and relevant 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 training was very practical and hands-on. I could apply what I learned to my work immediately. (Posted on 03/06/2026)
Hands-on and practical 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
Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 22/03/2026)
Worth every cent 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
Well organised course with clear objectives. The step-by-step approach made it easy to follow. (Posted on 09/11/2025)
Superb training 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 15/08/2025)
Clear and easy to follow 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
Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 01/06/2025)

Items 1 to 5 of 9 total

per page
Page:
  1. 1
  2. 2

Write Your Own Review

You're reviewing: AI Agents Fundamentals for Beginners

How do you rate this product? *

  1 star 2 stars 3 stars 4 stars 5 stars
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