Understand Power Automate Features: Learn what Power Automate can do to simplify and automate business processes.
Create Cloud Flows: Build cloud flows from scratch, using different triggers and actions to automate tasks.
Integrate with Microsoft Dataverse: Learn to create and manage tables in Microsoft Dataverse and connect it with Power Automate for better data management.
Build Approval Processes: Create effective approval workflows to handle requests, notifications, and approvals.
Manage User Information Flows: Build flows that manage user information, including button flows that use location and date information and accept user inputs.
Integrate with Multiple Data Sources: Learn how to connect Power Automate with data sources like SharePoint to improve data access and automation.
Troubleshoot and Optimize Flows: Gain skills to fix common issues in Power Automate flows and make them work better.
Hands-on Practice: Engage in practical labs and exercises to apply what you learn to real-world situations.
Build Agentic AI Apps with Claude Code and Codex
About This Build Agentic AI Apps with Claude Code & Codex Course

Artificial Intelligence is rapidly transforming the way applications are designed, developed, and automated. Modern AI coding assistants such as Claude Code and Codex now enable users to generate code, automate workflows, create intelligent assistants, and accelerate software development using natural language instructions.
This highly practical and beginner-friendly course introduces learners to the fundamentals of Agentic AI application development using Claude Code and Codex. Participants will explore how AI-powered coding tools can assist in generating applications, improving productivity, automating repetitive tasks, and supporting intelligent business workflows.
The course covers key concepts including generative AI, agentic AI, prompt engineering, AI-assisted coding, workflow automation, and responsible AI practices. Learners will also gain hands-on exposure to creating simple AI-powered applications, generating and refining code, building AI workflows, and evaluating AI-generated outputs.
Designed for both technical and non-technical professionals, this course focuses on practical use cases and real-world demonstrations to help learners confidently begin their journey into AI-powered application development and automation.

What You Will Learn in Build Agentic AI Apps with Claude Code & Codex
Build AI-Powered Applications
Create simple applications and workflows using Claude Code, Codex and natural language instructions.
Apply Agentic AI Concepts
Use generative AI, agentic AI and LLM concepts in practical development scenarios.
Design Effective Coding Prompts
Structure prompts that guide AI tools to generate accurate, useful and relevant code.
Analyse AI-Generated Outputs
Evaluate AI results for accuracy, relevance, reliability, limitations and improvement opportunities.
Develop AI Assistants And Tools
Create beginner-friendly chatbots, assistants and productivity tools for business use cases.
Implement Responsible AI Practices
Apply privacy, governance, validation and ethical practices when using AI-generated code.
Who Should Attend Build Agentic AI Apps with Claude Code & Codex?
Business Professionals
You want to use AI tools to build simple solutions without becoming a full-time programmer.
Data Analysts
You need faster ways to automate analysis tasks, build tools and reduce repetitive manual work.
IT Professionals
You want to understand how Claude Code and Codex can accelerate development and support automation.
Innovation Managers
You need practical AI application ideas that can support digital transformation initiatives.
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This course is suitable for:
- Business professionals exploring AI tools and automation
- Executives and managers interested in AI transformation initiatives
- Data analysts and power users
- IT professionals and system administrators
- Beginner developers and aspiring AI developers
- Process improvement and operations teams
- Innovation and digital transformation teams
- Educators, trainers, and consultants
- Anyone interested in learning how AI coding assistants can help build intelligent applications and workflows
Pre-Requisites for Build Agentic AI Apps with Claude Code & Codex
🏛️ WSQ funding up to 70%, plus SkillsFuture Credit, UTAP and SFEC support.
Build Agentic AI Apps with Claude Code & Codex: Course Outline & Curriculum
Underlying Principles, Core Concepts and Theories Governing Generative AI
- Introduction to Generative AI and Agentic AI
- Understanding LLMs and AI coding assistants
- Introduction to Claude Code and Codex
- AI reasoning, workflows and automation concepts
- Fundamentals of AI-powered app development
Difference Between Generative and Discriminative Models
- Generative vs discriminative AI models
- AI chatbots vs AI agents
- Single-agent and multi-agent systems
- AI copilots and autonomous workflows
- Comparing Claude, Codex, ChatGPT and Gemini
Demonstrate the Use of AI in Diverse Applications
- AI for coding, summarisation and automation
- Building simple AI-powered applications
- Creating AI workflows and assistants
- Business use cases for Agentic AI
- Hands-on AI app demonstrations
Importance of Data Quality, Preprocessing, Model Pipeline and Model Training
- Importance of data quality and context
- Understanding prompts and model pipelines
- Managing hallucinations and AI limitations
- AI-assisted development workflows
- Testing and refining AI-generated outputs
Impact of Prompt Engineering on Model Outputs of Generative AI
- Fundamentals of prompt engineering
- Structuring effective prompts
- Multi-step and chain-of-thought prompting
- Prompt engineering for Claude Code and Codex
- Generating and refining AI-generated code
Apply Understanding of Generative AI Principles to Use Cases
- Creating AI assistants and chatbots
- Building simple AI productivity tools
- Automating business workflows
- AI-assisted coding and debugging
- Beginner-friendly AI app exercises
Analyse Generative AI Models’ Performance Metrics and Evaluate Prompt Variations
- Evaluating AI-generated outputs
- Measuring accuracy and relevance
- Comparing prompt variations
- Improving consistency and reliability
- Validating AI-generated code and content
Generative AI Model Workings, Training Data, Algorithms and Outputs
- How AI models are trained
- Data privacy and governance considerations
- AI security and responsible AI usage
- Risks of exposing confidential information
Ethical Implications and Societal Impact of AI-Generated Content
- Ethical use of AI-generated content
- Human-AI collaboration
- Workplace impact of AI adoption
- Responsible AI implementation
Analyze Limitations and Potential Biases in AI-Generated Content
- Biases and hallucinations in AI systems
- Risks of inaccurate AI-generated outputs
- Human validation and review practices
- Best practices for trustworthy AI usage
LU1: AI Fundamentals
T1: Underlying Principles, Core Concepts and Theories Governing Generative AI
- Introduction to Generative AI and Agentic AI
- Understanding LLMs and AI coding assistants
- Introduction to Claude Code and Codex
- AI reasoning, workflows, and automation concepts
- Fundamentals of AI-powered app development
T2: Difference Between Generative and Discriminative Models
- Generative vs discriminative AI models
- AI chatbots vs AI agents
- Single-agent and multi-agent systems
- AI copilots and autonomous workflows
- Comparing Claude, Codex, ChatGPT, and Gemini
T3: Demonstrate the Use of AI in Diverse Applications
- AI for coding, summarisation, and automation
- Building simple AI-powered applications
- Creating AI workflows and assistants
- Business use cases for Agentic AI
- Hands-on AI app demonstrations
LU2: Prompt Engineering for Agentic Coding
T1: Importance of Data Quality, Preprocessing, Model Pipeline and Model Training
- Importance of data quality and context
- Understanding prompts and model pipelines
- Managing hallucinations and AI limitations
- AI-assisted development workflows
- Testing and refining AI-generated outputs
T2: Impact of Prompt Engineering on Model Outputs of Generative AI
- Fundamentals of prompt engineering
- Structuring effective prompts
- Multi-step and chain-of-thought prompting
- Prompt engineering for Claude Code and Codex
- Generating and refining AI-generated code
T3: Apply Understanding of Generative AI Principles to Use Cases
- Creating AI assistants and chatbots
- Building simple AI productivity tools
- Automating business workflows
- AI-assisted coding and debugging
- Beginner-friendly AI app exercises
T4: Analyse Generative AI Models’ Performance Metrics and Evaluate the Influence of Prompt Variations
- Evaluating AI-generated outputs
- Measuring accuracy and relevance
- Comparing prompt variations
- Improving consistency and reliability
- Validating AI-generated code and content
LU3: Ethical Considerations
T1: Generative AI Model Workings, Including Training Data, Algorithms, and Outputs
- How AI models are trained
- Data privacy and governance considerations
- AI security and responsible AI usage
- Risks of exposing confidential information
T2: Identify the Ethical Implications and Societal Impact of AI-Generated Content
- Ethical use of AI-generated content
- Human-AI collaboration
- Workplace impact of AI adoption
- Responsible AI implementation
T3: Analyze Limitations and Potential Biases in AI-Generated Content
- Biases and hallucinations in AI systems
- Risks of inaccurate AI-generated outputs
- Human validation and review practices
- Best practices for trustworthy AI usage
Training Course Fees & Funding
Full course fee: S$1,200.00 (before GST & government funding) TGS: TGS-2026062462
70% SSG Grant
Baseline + Enhanced Training Support
- SG Citizens aged 40+ (Individual, SME or MNC)
- SME-sponsored SG Citizens (21+)
- SME-sponsored PRs (21+)
50% SSG Grant
Baseline WSQ Funding
- SG Citizens aged 21–39 (Individual or MNC)
- MNC company-sponsored PRs (21+)
- Individual PRs (21+)
Additional Funding Options
Singapore Citizens aged 25+ can use their SkillsFuture Credits to offset nett fees.
Companies sending local & foreign staff can claim up to $10,000 SFEC funding.
NTUC members can claim up to 50% of remaining fees (capped at $500/year).*
Need help with funding applications? We'll guide you through the process.
* Terms & conditions apply. Funding subject to eligibility and approval by respective agencies. GST applies on full course fee before subsidy. Fee information is accurate as of May 2026.
Register for Build Agentic AI Apps with Claude Code & Codex in Singapore
| Date | Duration | Venue | |
|---|---|---|---|
15, 16 Jun 2026 |
Register → | 2 Days | Fortune Centre, Singapore |
20, 27 Jun 2026 |
Register → | 2 Days | Fortune Centre, Singapore |
What Past Build Agentic AI Apps with Claude Code & Codex Participants Say
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