In the fast-evolving world of AI, understanding how to design and deploy intelligent agents—without writing a single line of code—is becoming an essential skill. This course on Agentic AI provides a practical, step-by-step journey into the world of AI agents, empowering learners to conceptualize, build, and deploy AI workflows using non-coding platforms.
Designed for professionals and enthusiasts in product management, technology, and innovation roles, this course demystifies the concepts of agentic AI, chatbot development, and Retrieval Augmented Generation (RAG). Learners will explore no-code tools like n8n, Langflow, Agentx, Flowise, HeyGen, and Microsoft Copilot Studio, gaining hands-on experience to rapidly prototype and deploy AI applications.
Structured across three progressive learning units, the course first establishes foundational knowledge of AI agents and workflows, then guides learners through building practical chatbot solutions, and finally moves into advanced applications like RAG for deep research and contextual response systems. Whether you’re aiming to improve customer service, automate internal workflows, or build AI-driven products, this course equips you with the right tools and frameworks.
By the end of the course, you’ll not only understand the difference between generative and agentic AI, but also be able to create functional AI agents that solve real-world problems—boosting efficiency, user engagement, and business innovation.
Topic 1: Overview of AI Agents and Agentic AI Workflows
- What is AI Agent and Agentic AI?
- Agentic AI vs Generative AI
- LLM Reasoning Frameworks and their underlying algorithms
- Use Cases of Agentic AI Workflows – APA and Computer Use
- Introduction to Agentic AI platforms – n8n & Langflow
- Analyze the process of creating an AI Agent on Agentic AI Platforms
Covers the Learning Objective 1 – Analyze AI Agents algorithms to identify strengths and limitations in non-coding platform applications.
- Range of AI applications
- Applicability of AI in the Product Development track
- Analyse algorithms in the AI applications
- Identify strengths and limitations of the AI applications
Topic 2: Build Agentic AI Chatbots on No-Code Platforms
- Introduction to AI Chatbot Platforms – Agentx, Promptly & Flowise
- Evaluate the design of an Agentic AI Chatbot on AI Chatbot Platforms
- Introduction to Digital Human Avatar powered by HeyGen and it its core AI algorithms
- Assess the implementation of a Digital Human Avatar Chatbot with No Code
Covers Learning Objective 2 – Analyze AI agent algorithm design for its impact on efficiency and assess AI-driven improvements in product management.
- Algorithm design and implementation
- Methods of evaluating process improvements to product management
- Establish the correlation between design of algorithms and efficiency
- Assess improvements of AI in product
Topic 3: Build Retrieval Augmented Generation
- Overview of Retrieval Augmented Generation (RAG)
- Evaluate the structure and feasibility of Agentic RAG on No-Code Platforms
- Introduction to Agentic Search and Deep Research
- Assess the application design and feasibility of AI Agents and RAG on Microsoft Copilot Studio
Covers Learning Objective 3 – Evaluate AI Agents application effectiveness and assess feasibility for product and maintenance processes.
- Concepts pertaining to performance effectiveness and analysis
- Methods of evaluating effectiveness of AI applications in products
- Evaluate various AI applications to compare strengths and limitations of the AI applications
- Assess feasibility of AI applications to each product and its’ maintenance processes
This course takes a step-by-step approach to learning and applying agentic AI, starting from core concepts and advancing toward real-world implementation. The learning path is thoughtfully sequenced to ensure each skill builds on the previous one, providing a clear, logical progression.
Unit 1: Introduction to AI Agents and Workflows
- Understand what Agentic AI is, and how it differs from Generative AI.
- Explore key reasoning frameworks that power intelligent agents.
- Analyze use cases across industries and identify where agentic workflows can be applied.
- Create your first AI agent using platforms like n8n and Langflow.
Unit 2: Developing AI Chatbots
- Dive into no-code chatbot development using Agentx, Promptly, and Flowise.
- Learn how to integrate digital human avatars via HeyGen to create engaging AI experiences.
- Correlate AI algorithm design with efficiency in product management workflows.
- Improve existing agent applications for real-world use cases.
Unit 3: Implementing RAG Applications
- Understand the architecture and benefits of Retrieval Augmented Generation (RAG).
- Build agentic RAG applications to enhance AI reasoning and context retention.
- Leverage Microsoft Copilot Studio to develop intelligent RAG-based search and research agents.
- Evaluate AI’s effectiveness and feasibility for product development and maintenance.
By progressing from foundational theory to hands-on practice and advanced applications, learners are equipped not just with tools, but with strategic insight into building scalable, intelligent systems.
• Able to operate computer functions with minimum Computer Literacy Level 2
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)Attitude
• Positive Learning Attitude
• Enthusiastic LearnerExperience
• Minimum of 1 year of working experience.
Target Age Group: 21 years and above
- Executives,
- professionals,
- technicians,
- managers,
- technology leaders,
- CTO,
- CEO,
- HR,
- L&D Managers,
- IT managers
Post-Course Support
- We provide free consultation related to the subject matter after the course.
- Please email your queries to training@intellisoft.com.sg and we will forward your queries to the subject matter experts.
Venue:
All courses are conducted at Intellisoft Training Rooms at 190 Middle Road, 10-08 Fortune Centre, Singapore 188979.
Short walk from Bencoolen MRT, Bugis, Rochor, Bras Basah MRT stations. The venue is disabled-friendly. For directions, click Contact Us.
This course takes a step-by-step approach to learning and applying agentic AI, starting from core concepts and advancing toward real-world implementation. The learning path is thoughtfully sequenced to ensure each skill builds on the previous one, providing a clear, logical progression.
Unit 1: Introduction to AI Agents and Workflows
- Understand what Agentic AI is, and how it differs from Generative AI.
- Explore key reasoning frameworks that power intelligent agents.
- Analyze use cases across industries and identify where agentic workflows can be applied.
- Create your first AI agent using platforms like n8n and Langflow.
Unit 2: Developing AI Chatbots
- Dive into no-code chatbot development using Agentx, Promptly, and Flowise.
- Learn how to integrate digital human avatars via HeyGen to create engaging AI experiences.
- Correlate AI algorithm design with efficiency in product management workflows.
- Improve existing agent applications for real-world use cases.
Unit 3: Implementing RAG Applications
- Understand the architecture and benefits of Retrieval Augmented Generation (RAG).
- Build agentic RAG applications to enhance AI reasoning and context retention.
- Leverage Microsoft Copilot Studio to develop intelligent RAG-based search and research agents.
- Evaluate AI’s effectiveness and feasibility for product development and maintenance.
By progressing from foundational theory to hands-on practice and advanced applications, learners are equipped not just with tools, but with strategic insight into building scalable, intelligent systems.
- Executives,
- professionals,
- technicians,
- managers,
- technology leaders,
- CTO,
- CEO,
- HR,
- L&D Managers,
- IT managers
Topic 1: Overview of AI Agents and Agentic AI Workflows
- What is AI Agent and Agentic AI?
- Agentic AI vs Generative AI
- LLM Reasoning Frameworks and their underlying algorithms
- Use Cases of Agentic AI Workflows – APA and Computer Use
- Introduction to Agentic AI platforms – n8n & Langflow
- Analyze the process of creating an AI Agent on Agentic AI Platforms
Covers the Learning Objective 1 – Analyze AI Agents algorithms to identify strengths and limitations in non-coding platform applications.
- Range of AI applications
- Applicability of AI in the Product Development track
- Analyse algorithms in the AI applications
- Identify strengths and limitations of the AI applications
Topic 2: Build Agentic AI Chatbots on No-Code Platforms
- Introduction to AI Chatbot Platforms – Agentx, Promptly & Flowise
- Evaluate the design of an Agentic AI Chatbot on AI Chatbot Platforms
- Introduction to Digital Human Avatar powered by HeyGen and it its core AI algorithms
- Assess the implementation of a Digital Human Avatar Chatbot with No Code
Covers Learning Objective 2 – Analyze AI agent algorithm design for its impact on efficiency and assess AI-driven improvements in product management.
- Algorithm design and implementation
- Methods of evaluating process improvements to product management
- Establish the correlation between design of algorithms and efficiency
- Assess improvements of AI in product
Topic 3: Build Retrieval Augmented Generation
- Overview of Retrieval Augmented Generation (RAG)
- Evaluate the structure and feasibility of Agentic RAG on No-Code Platforms
- Introduction to Agentic Search and Deep Research
- Assess the application design and feasibility of AI Agents and RAG on Microsoft Copilot Studio
Covers Learning Objective 3 – Evaluate AI Agents application effectiveness and assess feasibility for product and maintenance processes.
- Concepts pertaining to performance effectiveness and analysis
- Methods of evaluating effectiveness of AI applications in products
- Evaluate various AI applications to compare strengths and limitations of the AI applications
- Assess feasibility of AI applications to each product and its’ maintenance processes
• Able to operate computer functions with minimum Computer Literacy Level 2
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)Attitude
• Positive Learning Attitude
• Enthusiastic LearnerExperience
• Minimum of 1 year of working experience.
Target Age Group: 21 years and above
Post-Course Support
- We provide free consultation related to the subject matter after the course.
- Please email your queries to training@intellisoft.com.sg and we will forward your queries to the subject matter experts.
SkillsFuture Ready
Singaporeans can use $500 SkillsFuture Credits for this training to offset the course fees.
Contact us for advise on how to go about claiming your SkillsFuture.
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We teach you, step by step, how you can learn new skills, build your knowledge and enhance your career prospects quickly & easily, with Practical Tips & Tricks!
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How To Register
How To Register For Advanced Data Analytics & Data Visualization With Excel Course in Singapore
Register for the 2 Days Advanced Excel Data Analytics & Data Visualization MasterClass Course today by simply clicking on the chosen course date available at the top of this page.
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Call us at +65-6250-3575, SMS / WhatsApp: 9066-9991
Send an email to training@intellisoft.com.sg
We have regular public classes For Advanced Data Analytics & Visualization With Excel MasterClass each quarter, and Corporate Training can be arranged at your office too!
Note: This class uses a convenient and hands-on approach to gain Excel Analytics & Visualization Mastery. It requires you to take part in Data Analysis & Data Visualization exercises during the class. You can bring your own laptop or request to use our computer during the class beforehand.
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