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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:
- A Claude Pro (or higher) subscription – required
- Claude desktop app – free download (optional, the web app also works)
Hardware: Windows PC or Mac laptop
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
Dr. Muhammed Siraj is a cybersecurity specialist and academic with 15 years of experience, serving as Senior Lecturer in the Department of Informatics and Director of Graduate and Continuous Education at Academic City University in Accra. He holds a PhD in Security in Computing from Universiti Putra Malaysia, where his research focused on blockchain security, an MSc in Information and Communication Technology from Aalborg University in Denmark, and a degree from the University of Ghana. He is a licensed independent assessor with Ghana's Cyber Security Authority, holds leadership roles in national cybersecurity and privacy professional bodies, and is certified as a Certified Ethical Hacker (CEH), Computer Hacking Forensic Investigator (CHFI) and Certified Data Protection Supervisor (CDPS). Before joining Academic City, he served as Acting Director of ICT and Data Protection Supervisor at Wisconsin International University College. His expertise spans penetration testing, digital forensics, incident response, malware analysis, cryptography, cloud and IoT security, zero trust architecture, cyber threat intelligence, data protection, and governance, risk and compliance.
Dr. Siraj's research interests cover blockchain, cybersecurity, distributed computing, consensus protocols and machine learning, with published work on blockchain consensus security, smart-contract privacy preservation for sensitive records in the cloud, and new consensus mechanisms. This background gives him a distinctive perspective on artificial intelligence: as organisations adopt AI tools, agents and data-driven automation, he helps learners understand how to protect the data these systems depend on, recognise new attack surfaces, and put sound governance, privacy and access controls in place so that AI can be used safely and responsibly. In the classroom he connects technical practice with regulation, privacy and human factors, drawing on real-world security and data-protection cases to show how concepts apply in professional settings, and his experiential, hands-on teaching style has made him a trusted trainer for students and working professionals alike.
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)
- Good course materials 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 5/14/2026)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 satisfied Review by Course Participant/Trainee
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A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 1/15/2026)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 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 7/26/2025)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 - 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 6/22/2025)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 - Worth every cent 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 2/2/2025)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
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