wsq_funded SkillsFuture Credits, UTAP & SFEC Grants are available.
Build Agentic AI Apps with Claude Code & Codex

Build Agentic AI Apps with Claude Code and Codex

23+
Years
120+
Courses
3,460+
Corporate Clients
45,000+
People Trained
Trusted by
WSQ Accredited · Intellisoft
🔥 Filling Up Fast
Next Available Date
📅 Next Class ⚡ 15, 16 Jun 2026
Course Details
Duration 2 Days
📍 Venue Fortune Centre, Singapore
👥 Class Size Up to 20 Pax
🎓 Certificate ✓ WSQ Certificate Issued
Accreditation
🔖 TSC Code ICT-INT-0052-1.1
From S$468 after WSQ Grant*
Full fee: S$1,308.00 incl. 9% GST  ·  See grant table →
🏛️ WSQ & SkillsFuture funding available — view full grant breakdown →
✓ 100% satisfaction guarantee · Respond within 2 hours
🏛 Up to 70% SSG Grant  ·  Pay from S$468 after funding
WSQ Funded SkillsFuture UTAP SFEC Learn more ↓
About This Course

About This Build Agentic AI Apps with Claude Code & Codex Course

Codex and Claude Code Course for Agentic AI coding
Codex and Claude Code Course for Agentic AI coding

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.

Codex Course For Agentic AI Application Development in Singapore with SkillsFuture & WSQ Grants
Codex Course For Agentic AI Application Development in Singapore with SkillsFuture & WSQ Grants
Learn to turn natural language instructions into AI-powered apps, workflows, assistants and practical coding solutions.
🖥️
Learn By Doing
Hands-on exercises on real Singapore business datasets from the very first module.
👥
Small Class Sizes
Capped at 20 participants for personal attention.
📧
Post-Training Support
We provide email support for our participants. Simply email us your questions.
What You'll Walk Away With
🤖 Learn Claude Code and Codex fundamentals through beginner-friendly, hands-on AI app development exercises.
💻 Create simple AI-powered applications, assistants and productivity tools using natural language prompts.
⚙️ Apply prompt engineering techniques to generate, refine, test and troubleshoot AI-generated code.
🛡️ Understand responsible AI practices, hallucination risks, privacy concerns and human validation methods.
What You Will Learn

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.

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.

Is This For You?

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.

  • 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
Before You Attend

Pre-Requisites for Build Agentic AI Apps with Claude Code & Codex

Basic familiarity with Microsoft 365 applications. An understanding of workflow concepts or basic automation tools is advantageous.

🏛️  WSQ funding up to 70%, plus SkillsFuture Credit, UTAP and SFEC support.

Curriculum

Build Agentic AI Apps with Claude Code & Codex: Course Outline & Curriculum

Module 1

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
Module 2

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
Module 3

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
Module 1

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
Module 2

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
Module 3

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
Module 4

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
Module 1

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
Module 2

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
Module 3

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
Your Trainer
👤
Your Trainer

Vinai Prakash

MBA Microsoft Certified Trainer 35+ Years Experience

Founder of Intellisoft Systems. Trained 45,000+ professionals across Singapore corporates, government agencies, and polytechnics, in several countries. Vinai has published articles on data analysis in The Straits Times and written content for leading business publications. He is the author of the bestselling book on Amazon - Excel Crash Course.

Trusted by professionals from 500+ organisations
Canon CPF Board OCBC NTU NUS Mindef HDB JTC ExxonMobil Sembcorp
AXA Epson NTUC Health DSO Toyota Asia Pacific BNY Mellon Ritz-Carlton Standard Chartered Singapore Police Force Tan Tock Seng Hospital

Training Course Fees & Funding

Full course fee: S$1,200.00 (before GST & government funding) TGS: TGS-2026062462

Highest Funding
70% Grant

70% SSG Grant

Baseline + Enhanced Training Support

  • SG Citizens aged 40+ (Individual, SME or MNC)
  • SME-sponsored SG Citizens (21+)
  • SME-sponsored PRs (21+)
Course Fee S$1,200.00
SSG Funding (70%) − S$840.00
Nett Fee S$360.00
GST (9%) S$108.00
You Pay S$468.00
SSG Funded
50% Grant

50% SSG Grant

Baseline WSQ Funding

  • SG Citizens aged 21–39 (Individual or MNC)
  • MNC company-sponsored PRs (21+)
  • Individual PRs (21+)
Course Fee S$1,200.00
SSG Funding (50%) − S$600.00
Nett Fee S$600.00
GST (9%) S$108.00
You Pay S$708.00
Foreigners & other pass holders: Government grants are not applicable. Full course fee of S$1,200.00 + 9% GST = S$1,308.00 applies. Contact us for more details.

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

Register for Build Agentic AI Apps with Claude Code & Codex in Singapore

💬 Corporate / Group Enquiry
Date Duration Venue
15, 16 Jun 2026
Register → 2 Days Fortune Centre, Singapore
20, 27 Jun 2026
Register → 2 Days Fortune Centre, Singapore
🏢 Running this for a group? Request a Custom Corporate Run →
What Participants Say

What Past Build Agentic AI Apps with Claude Code & Codex Participants Say

★★★★★
I enjoyed the step by step process to automate the processes on my desktop with Claude Cowork and Codex. This is a must attend course for all people. Now everyone can create their own apps in no time.
J
Joyce Lim
Researcher, A*Star
★★★★★
OpenAI Codex can create complete apps in a very short time. The key thing is the prompt. It is a huge time saver to automate my work flows, create a complete web page and has freed up my time considerably. I did not even know how to code.
T
Tan Siew Hien
Financial Advisor, Financial Analyst
★★★★★
Trainer is knowledgeable & friendly. Notes provided is good. I picked up AI coding and app development easily, Relevance to real life applications, Clarity in explaining differences between various Vibe Coding Apps is great.
J
James McLeod
Hobbyist & YouTube Influencer
Common Questions

Frequently Asked Questions

What are the course fees and funding options?
The full course fee is S$1,200 before GST and government funding. Eligible Singapore Citizens and PRs may receive up to 70% WSQ funding, reducing the payable amount to as low as S$468 including GST. SkillsFuture Credit, UTAP and SFEC may also be applicable, subject to eligibility.
How long is the Claude Code and Codex course?
This is a 2-day instructor-led course. The programme is designed to be practical and beginner-friendly, with guided demonstrations, hands-on exercises and real-world AI application examples.
Do I need coding experience before attending?
No advanced coding background is required. Basic digital literacy and familiarity with Microsoft 365 applications will be helpful. The course introduces AI-assisted coding concepts step by step using Claude Code and Codex.
Will I receive a certificate after completion?
Yes, participants will receive a WSQ certificate upon successful completion, subject to course and assessment requirements. This certificate is recognised in Singapore and supports professional upskilling in AI, automation and application development.
Where is the training conducted?
The classroom training is conducted at Fortune Centre, 190 Middle Road, #10-08, Singapore 188979. Corporate runs may also be arranged for companies that want a dedicated class for their team. Online or customised delivery can be discussed based on training needs.
Who should attend this Agentic AI app development course?
This course is suitable for business professionals, data analysts, IT professionals, beginner developers and innovation teams. It is especially useful for learners who want to use Claude Code and Codex to build simple AI apps, assistants and workflow tools.
How do I register for the course?
You can register through the course page or contact Intellisoft directly for upcoming dates. Companies can also enquire about group registrations, corporate runs and funding support. Intellisoft can guide eligible learners through the WSQ funding process.
What practical skills will I gain from this course?
You will learn how to use prompt engineering, Claude Code and Codex to generate, refine and evaluate AI-generated code. You will also explore AI assistants, simple productivity tools, app workflows, responsible AI usage and validation practices.
Ready to Get Started?

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Build Agentic AI Apps with Claude Code & Codex
Next class: 15, 16 Jun 2026 · Fortune Centre, Singapore · 2 Days
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Build Agentic AI Apps with Claude Code & Codex

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