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Build Multi Agent Systems with ADK, Streamlit, Autogen and CrewAI

Course Information

  • Sessions 1 day
  • Duration 7.5 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

Prerequisite

This course is for beginners. No prerequisite is required.

Certification

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

Claude Certified Associate - Foundations (CCAO-F) Exam Prep

Course Code: C991

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What's This Course About

Claude Certified Associate - Foundations (CCAO-F) Exam Prep prepares you for the Claude Certified Associate - Foundations exam from Anthropic, which validates that you can apply Claude to complete real-world business and productivity tasks with minimal guidance. The certification is intended for professionals who use Claude as a productivity tool in roles such as operations, marketing, project management, education, communications and consulting – people who translate business objectives into effective Claude interactions, evaluate generated content critically and know when human review or escalation is required.

The course follows the seven official exam domains. You will start with prompting and task execution, then focus on output evaluation and validation, the most heavily weighted domain, where you learn to check outputs for accuracy and completeness, spot hallucinations and bias, and decide when human review is needed. You will then compare Claude product features and the Haiku, Sonnet and Opus models, integrate Claude into existing workflows, and configure Claude Projects with instructions, knowledge sources and connectors.

The course closes with governance, risk and responsible use, including data sensitivity and organisational AI policy, and with troubleshooting and optimising underperforming prompts and workflows. Each domain combines explanation, hands-on practice in Claude and exam-style scenario questions. The CCAO-F exam has 60 multiple-choice and multiple-response questions in 120 minutes, delivered by Pearson VUE online or at a test centre, with a passing scaled score of 720 out of 1,000. By the end, you will be able to apply Claude confidently at work and be well prepared to pass the exam.

Bonus: Free Practice Exams

Get exam-ready on our Practice Exam Portal — train in realistic Practice Mode and timed Exam Mode, then retake them as many times as you like before the real exam.

Start Practising →

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

MYR4,400.00
+ 8% SST

Course Date

Course Time

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: Prompting and Task Execution

Topic 2: Output Evaluation and Validation

Topic 3: Product and Model Selection

Topic 4: Workflow Integration and Solution Design

Topic 5: Configuration and Knowledge Management

Topic 6: Governance, Risk, and Responsible Use

Topic 7: Troubleshooting and Optimization

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: 18-65 years old

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

Hardware: Windows PC or Mac laptop

How to Apply HRD Corp Funding

This course is HRD Corp claimable for employers registered with HRD Corp, under the HRD Corp Claimable Courses scheme (SBL-Khas). Your company applies for the grant before the class; we submit the training provider claim after it.

  1. Check your levy balance - your company must be registered with HRD Corp and have enough levy balance to cover the course fee.
  2. Request a quotation - contact us for the quotation, course content and trainer profile; you attach these to the grant application.
  3. Apply for the grant in eTRiS before the class - log in to your employer eTRiS account, go to Application > Grant > Apply Grant, choose the scheme HRD Corp Claimable Courses (SBL-Khas), select us as the training provider and this course, add your trainees, attach the quotation, course content and trainer profile, and submit.
  4. Submit in time - for public classes, submit at least 3 calendar days before the class (15 June to 31 December 2026) and at least 14 days before from 1 January 2027; in-house classes need 14 days. The training must start within 90 days of that advance submission period.
  5. Send us the grant approval - once HRD Corp approves the application, email us the grant ID so we can confirm your seats.
  6. Attend the class - trainees sign the daily attendance (T3) form.
  7. Claim after the class - we submit the training provider claim in eTRiS with the attendance and invoice; you then complete the employer claim and sign the JD/14 form (manager level or above). Claims must be submitted within 6 months of the training.

More details: our HRD Corp Claimable Courses page and the HRD Corp employer guidelines.

Job Roles

Job Roles

  • Operations Manager
  • Operations Executive
  • Marketing Manager
  • Marketing Executive
  • Project Manager
  • Business Analyst
  • Management Consultant
  • Corporate Communications Executive
  • Communications Specialist
  • Educator
  • Corporate Trainer
  • Human Resource Executive
  • Administrative Executive
  • Content Specialist
  • Customer Service Manager
  • Knowledge Management Specialist
  • Digital Transformation Lead
  • AI Adoption Champion

Trainers

Trainers

Shipping agentic AI applications that real users can try in a browser is central to the work of Dr. Alfred Ang, a full-stack AI developer, Agentic AI solution architect and corporate trainer who serves as CTO of Tertiary Infotech Academy Pte Ltd, the Singapore training organisation behind Tertiary Courses. Streamlit features prominently in Dr. Ang's portfolio: a courseware generation platform built with the Claude Agent SDK and Streamlit that automates the creation of training documents, a course-proposal generator powered by Claude, a document-generation app for training-partner procedures, and data-mining-ml-labs, a set of interactive Streamlit labs for machine learning. Dr. Ang has also built RAG systems, from n8n-ragdemo, in which a Gemini-powered Telegram agent answers questions over uploaded PDFs, to n8n-ragdemo2, a customer-service chatbot over a library of course brochures. Guardrails and alignment are treated as first-class concerns, as in n8n-hrportal, whose HR chatbot is protected by input and output guardrails and human-in-the-loop approvals. Multi-agent orchestration appears in an ERP prototype that coordinates AI agents for procurement, invoicing and replenishment, and in AI-LMS-TMS, a training management system with built-in agent automation. More than 300 public repositories at github.com/alfredang demonstrate the full journey from framework experiment to deployed, guarded application. Dr. Ang has also compared several agent frameworks in practice, learning where each one shines, where it struggles and how to keep code portable as the ecosystem evolves. That comparative, hands-on perspective shapes the structure of the whole course. Lessons from failed experiments are shared as openly as the successes.

Build Multi Agent Systems with ADK, Streamlit, Autogen and CrewAI gives learners a practical tour of today's leading agent frameworks. The first topic, agentic AI app development with agentic AI frameworks, compares Google ADK, Microsoft Autogen and CrewAI, and has learners build agents with defined roles, tools and collaboration patterns in each, so they understand the strengths and trade-offs of every approach. The second topic, agentic AI and RAG deployment on Streamlit Cloud, adds retrieval over documents, wraps the agents in a Streamlit interface and deploys the finished application so it can be shared with colleagues or clients. The final topic, model alignment and guardrails, covers prompt-injection defences, output validation, content filtering, human-in-the-loop checkpoints and techniques for keeping agents on task and within policy. Dr. Ang codes live and explains design decisions in context, drawing on the Streamlit apps and guarded chatbots already in production to show what tends to break when agents meet real users. Participants build and deploy their own multi-agent application during the course and leave with code they can extend. Developers, data scientists and solution architects with basic Python skills will gain a clear, framework-neutral understanding of how to design, ship and safeguard multi-agent systems. Learners also explore how to monitor deployed agents, manage API keys and secrets safely on Streamlit Cloud, and estimate the running costs of different model choices, so their applications remain secure and affordable after launch. To explore the Streamlit apps, RAG chatbots and agent projects behind this course, visit Dr. Ang's portfolio at https://github.com/alfredang.

Review

Customer Reviews (6)

Knowledgeable trainer 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 is an expert in the subject and shared many practical insights from real projects. (Posted on 22/04/2026)
Good course materials 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 is an expert in the subject and shared many practical insights from real projects. (Posted on 06/04/2026)
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
The trainer is an expert in the subject and shared many practical insights from real projects. (Posted on 04/01/2026)
Engaging trainer 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 is an expert in the subject and shared many practical insights from real projects. (Posted on 24/05/2025)
Very useful course 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
Very informative and interactive. The small class size meant we got a lot of personal attention. (Posted on 17/12/2024)

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