Claude Code Training: Full-Stack, MCP & CI/CD
9:00 AM – 5:00 PM (MYT, GMT+8) · 2 Days · Live on Zoom
AI & Emerging Technology
Claude Code Training: Full-Stack, MCP & CI/CD
Build practical capability in Claude Code Training: Full-Stack, MCP & CI/CD through instructor demonstrations, guided exercises and a workplace-focused project.
Upcoming Zoom sessions
Pick a date and reserve your seat.
Every intake runs live on Zoom in Malaysia time (GMT+8). The joining link is emailed automatically once payment succeeds.
Course overview
Turn learning into workplace capability.
Build practical capability in Claude Code Training: Full-Stack, MCP & CI/CD through instructor demonstrations, guided exercises and a workplace-focused project. Participants complete guided practice, receive feedback and leave with repeatable methods plus a clear next-step plan.
The programme balances useful AI capability with verification, privacy, human judgement, and responsible implementation in real workplace processes.
By the end
Learning outcomes
- Explain the essential principles and workflow behind Claude code project workflow.
- Apply full-stack application architecture and APIs and data integration in guided exercises.
- Use model context protocol and testing and secure automation to complete a practical output.
- Review, improve and deliver work using CI/CD and deployment.
By the end
Learning objectives
- Explain Claude code project workflow and connect it to the participant's workplace context.
- Apply full-stack application architecture using a structured method and appropriate supporting evidence.
- Use APIs and data integration to complete a realistic task accurately and efficiently.
- Evaluate model context protocol by applying quality criteria, controls, and professional judgement.
- Integrate testing and secure automation with related tools, people, information, and review points.
- Produce a practical, workplace-ready output together with a clear next-step implementation plan.
Practical curriculum
Course outline: Claude Code Training: Full-Stack, MCP & CI/CD
A focused sequence designed for application, reflection and measurable next steps. Expand each module for its detail and practical exercise.
01. Claude Code project workflow
- Capabilities, limitations, terminology, and appropriate business uses related to Claude code project workflow.
- Prompt, context, input-data, tool-selection, and output-quality decisions for the task.
- Verification, privacy, bias, intellectual-property, security, and human-oversight considerations.
- Integration of the method into a repeatable workflow with clear ownership and review points.
Practical exercise: Participants apply the method to a sanitised workplace case, evaluate the output, and document the human review required while applying Claude code project workflow.
02. Full-stack application architecture
- Capabilities, limitations, terminology, and appropriate business uses related to full-stack application architecture.
- Prompt, context, input-data, tool-selection, and output-quality decisions for the task.
- Verification, privacy, bias, intellectual-property, security, and human-oversight considerations.
- Integration of the method into a repeatable workflow with clear ownership and review points.
Practical exercise: Participants apply the method to a sanitised workplace case, evaluate the output, and document the human review required while applying full-stack application architecture.
03. APIs and data integration
- Capabilities, limitations, terminology, and appropriate business uses related to APIs and data integration.
- Prompt, context, input-data, tool-selection, and output-quality decisions for the task.
- Verification, privacy, bias, intellectual-property, security, and human-oversight considerations.
- Integration of the method into a repeatable workflow with clear ownership and review points.
Practical exercise: Participants apply the method to a sanitised workplace case, evaluate the output, and document the human review required while applying APIs and data integration.
04. Model Context Protocol
- Capabilities, limitations, terminology, and appropriate business uses related to model context protocol.
- Prompt, context, input-data, tool-selection, and output-quality decisions for the task.
- Verification, privacy, bias, intellectual-property, security, and human-oversight considerations.
- Integration of the method into a repeatable workflow with clear ownership and review points.
Practical exercise: Participants apply the method to a sanitised workplace case, evaluate the output, and document the human review required while applying model context protocol.
05. Testing and secure automation
- Capabilities, limitations, terminology, and appropriate business uses related to testing and secure automation.
- Prompt, context, input-data, tool-selection, and output-quality decisions for the task.
- Verification, privacy, bias, intellectual-property, security, and human-oversight considerations.
- Integration of the method into a repeatable workflow with clear ownership and review points.
Practical exercise: Participants apply the method to a sanitised workplace case, evaluate the output, and document the human review required while applying testing and secure automation.
06. CI/CD and deployment
- Capabilities, limitations, terminology, and appropriate business uses related to CI/CD and deployment.
- Prompt, context, input-data, tool-selection, and output-quality decisions for the task.
- Verification, privacy, bias, intellectual-property, security, and human-oversight considerations.
- Integration of the method into a repeatable workflow with clear ownership and review points.
Practical exercise: Participants apply the method to a sanitised workplace case, evaluate the output, and document the human review required while applying CI/CD and deployment.
Programme detail
How the course runs
Methodology
- Short instructor explanations that establish the principles, terminology, and workflow of Claude Code Training: Full-Stack, MCP & CI/CD.
- Live demonstrations and sanitised workplace prompts, output evaluation, and workflow-design exercises.
- Individual, pair, and group activities using realistic inputs that do not require disclosure of confidential information.
- Facilitated review, peer discussion, trainer feedback, and correction against clear quality criteria.
- A final application task plus a personal or team action plan for transfer to the workplace.
Assessment & evidence of learning
- Opening diagnostic questions to establish experience, needs, and relevant workplace scenarios.
- Observation of guided practice and completion of module activities relevant to AI & Emerging Technology.
- Knowledge checks, review questions, or scenario decisions at appropriate points in the programme.
- A final practical output, simulation, presentation, analysis, or implementation plan reviewed against stated criteria.
- Trainer feedback and participant reflection identifying strengths, corrections, and next-step workplace actions.
Prerequisites
- Basic computer, file-management, and workplace digital-literacy skills are recommended.
- Participants should have access to a suitable laptop and an appropriately licensed, trainer-supported version of the required software.
Course completion & workplace transfer
- Record corrections, open questions, support needs, and an accountable next action for workplace application.
- Review the final practical output against the learning outcomes and complete the trainer's closing knowledge check, reflection, or skills demonstration.
Who should attend
Who this course is for
Professionals, managers and teams seeking practical, responsible ways to use AI at work.
01
Live online via Zoom Meeting
Join a scheduled public intake from anywhere. Trainer-led, camera-on, with hands-on exercises and Q&A throughout.
02
Private in-house group session on Zoom
The same programme run privately for one organisation on its own date, with examples tailored to your policies and roles.
03
Joining details by email
The Zoom link, meeting ID and passcode are sent automatically once payment succeeds, with reminders one day and one hour before the start.
Course questions
What organisations usually ask
Is Claude Code Training: Full-Stack, MCP & CI/CD HRD Corp claimable?
The programme can be proposed as HRD Corp claimable training, subject to the employer’s eligibility, current scheme rules, course registration and final approval.
Who should attend this course?
Professionals, managers and teams seeking practical, responsible ways to use AI at work.
How long is the course and how is it delivered?
The standard duration is 2 Days. Every session runs live on Zoom with a trainer — there is no face-to-face or physical classroom option. Available formats: Live online via Zoom Meeting, Private in-house group session on Zoom.
How do I receive the Zoom link?
Reserve a seat online and complete payment. The Zoom joining link, meeting ID and passcode are emailed automatically the moment payment succeeds, followed by an automatic reminder one day before and one hour before the session starts.
What do I need to join the session?
A computer with a stable internet connection, the free Zoom client, a webcam and a headset. Sessions run in Malaysia time (GMT+8). Software used in hands-on courses should be installed before day one — the joining email lists what to prepare.
Build a stronger team
Bring Claude Code Training: Full-Stack, MCP & CI/CD to your organisation.
Tell us your preferred dates, team size and learning priorities. We will prepare a tailored programme and quotation.
*HRD Corp claimability is subject to employer eligibility, current scheme rules, course registration and approval. Public fees are indicative until confirmed in writing. Certification, licensing and statutory pathways may require an approved provider, separate assessment, experience or registration set by the relevant authority or awarding body.