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Course Details
Course Details
What You'll Learn
Topic 1: Understanding AI Agents
- What are AI Agents? From Chatbots to Autonomous Agents
- How AI Agents Work: Large Language Models, Prompts, Tools and Memory
- Types of AI Agents: Conversational, Task-Based and Multi-Agent Systems
- AI Agent Use Cases in Customer Service, Marketing and Operations
- Overview of Popular AI Agent Platforms and No-Code Tools
Topic 2: Building Your First AI Agents
- Designing an AI Agent: Goals, Instructions and Personas
- Building a No-Code AI Agent Step by Step
- Grounding Agents on Your Own Documents and Knowledge Sources
- Connecting Agents to Tools to Automate Everyday Tasks
- Testing, Deploying and Best Practices for AI Agents
Course Info
Prerequisite
Basic computer and file-management skills are expected. Familiarity with basic computer use and familiarity with the business or creative tasks covered by this course will help you follow the exercises.
Software Requirement
Install and test the listed software before class. Confirm the required version and account or licence access in your joining instructions. Cloud and AI services may charge subscription or usage fees.
Hardware Requirement
Bring a Windows or Mac laptop supported by the listed software, with a working keyboard and sufficient storage for course exercises.
Bring your own computer and charger, with a reliable internet connection and permission to install the required software. For live online classes, also prepare a microphone or headset.
If you need help arranging a suitable device, contact us before the class to confirm availability.
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
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.
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)
- Clear and easy to follow Review by Course Participant/Trainee
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Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 3/21/2026)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 - Learned a lot 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 3/15/2026)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 - Hands-on and practical Review by Course Participant/Trainee
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Excellent delivery and good balance between theory and practice. Learned a lot in a short time. (Posted on 11/13/2025)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 - Would attend again Review by Course Participant/Trainee
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Well organised course with clear objectives. The step-by-step approach made it easy to follow. (Posted on 5/10/2025)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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Well organised course with clear objectives. The step-by-step approach made it easy to follow. (Posted on 4/19/2025)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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