Course Details
Course Details
What You'll Learn
Domain 1 Agents and Workflows (14.7%)
- Apply agent and workflow architecture patterns and decide when to use a workflow versus an agent
- Construct Claude agents with the Claude Agent SDK, custom agent loops and harnesses, and hooks for deterministic actions
- Choose managed deployment models (self-hosted vs Anthropic-hosted) and design manager/subagent hierarchies
- Apply agent design patterns (tool-use loops, sub-agents, memory, context-window management) and frameworks such as Strands, LangGraph and PydanticAI
Domain 2 Applications and Integration (33.1%)
- Translate business requirements into functional and infrastructure requirements and manage the systems life cycle
- Apply Claude API mechanics (messages, tools, streaming, vision, thinking, caching, batch API, realtime vs batch tradeoffs)
- Apply software engineering foundations (REST APIs, JSON, async programming, version control, code review, refactoring)
- Design Claude applications across interfaces (Claude Code, Desktop, claude.ai, API, SDKs) with sound schema design and session hygiene
- Manage configuration with CLAUDE.md files, settings.json, model version pinning, prompt versioning and plugin dependencies
Domain 3 Claude Code (3.1%)
- Operate Claude Code core components (Rules, Skills, Commands, Agents, Agent Memory)
- Use session management, built-in and custom slash commands, headless, streaming and auto modes
- Apply the CLAUDE.md hierarchy, repository initialization and settings.json configuration
Domain 4 Eval, Testing and Debugging (2.6%)
- Debug and handle errors in Claude applications (error type identification, recovery strategy selection)
- Use trace analysis to identify failure modes
- Isolate problem origin between the integration layer and model output
Domain 5 Model Selection and Optimization (16.8%)
- Apply LLM fundamentals (tokens, context windows, sampling, non-determinism, next-token generation) and thinking modes (fast, extended, adaptive, effort levels)
- Apply technical fundamentals of AI application development (SDKs wrapping REST APIs, websockets)
- Select models by capability and tradeoffs (Opus vs Sonnet vs Haiku; quality, latency, cost; behavior changes across releases)
- Manage cost and tokens (usage tracking, cost modeling, prompt caching, cache check-pointing)
Domain 6 Prompt and Context Engineering (11.0%)
- Engineer context (context-window management, preventing context drift and bloat via tool-output pruning and compaction, context isolation through subagents)
- Engineer prompts (instruction clarity, few-shot examples, system vs user placement, output constraints, iterative refinement, input sanitization)
- Handle output with structured-output patterns, response validation, defensive parsing and skepticism toward confident output
Domain 7 Security and Safety (8.1%)
- Apply AI application security (prompt-injection mitigation, jailbreak defense, untrusted-input handling, data-leakage and PII prevention, authentication, authorization, confidentiality and integrity)
- Apply guardrails and secure-by-design deployment (content policy, guardrail layering, least privilege)
- Leverage Claude hooks to prevent destructive actions
- Manage identity, secrets and API keys across development and production environments
Domain 8 Tools and MCPs (10.6%)
- Implement tools and function calling (tool description writing, error handling, agentic harness dispatch, client-side vs server-side tools, approval patterns)
- Weigh tradeoffs across built-in tools, custom tools, Skills and MCPs
- Develop MCP servers (server authoring, deployment, MCP resources, tools and prompts)
- Apply MCP communication patterns (stdio, sockets, client vs server)
Course Info
Promotion Code
Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Target Age Group: 18-65 years old
Minimum Software/Hardware Requirement
Software:
TBD
Hardware: Window or Mac Laptops
Job Roles
Job Roles
- Unity Developer
- C# Game Programmer
- Game Designer
- Mobile Game Developer
- 2D/3D Game Developer
- Unity UI/UX Designer
- Game Animation Specialist
- Game Scripting Specialist
- Unity Technical Artist
- Virtual Reality (VR) Developer
- Augmented Reality (AR) Developer
- Game Prototyping Specialist
- Game Quality Assurance (QA) Tester
- Game Development Consultant
- Game Content Creator
- Indie Game Developer
- Game Effects (FX) Designer
- Unity Instructor/Trainer
- Game Deployment Specialist
- Unity Version Control Specialist
Trainers
Trainers
is an accomplished IT and data specialist with over 20 years of experience in academia, ICT leadership, and professional training, with a strong focus on data analytics and Excel-based solutions. He has developed and delivered specialized training programs on Statistical Data Analysis with Excel and Visual Basic for Applications (VBA) for Excel, equipping learners with advanced data manipulation, automation, and reporting skills. His expertise extends to automating institutional reporting systems, where he successfully streamlined academic records management through Excel-based tools, integrating macros and automation to improve efficiency and accuracy. As a trainer and consultant, Dr. Siraj has taught Excel to diverse audiences, including university staff, administrative teams, and professionals in banking, security, and education, ensuring they can apply Excel for decision-making, statistical modeling, and process automation. His practical mastery of Excel is complemented by his deep knowledge of office automation and ICT project management, making him a highly sought-after trainer in data analysis and productivity tools. With his blend of hands-on technical expertise and instructional experience, Dr. Siraj stands out as a credible authority in leveraging Excel to drive organizational efficiency and data-driven strategies
Review
Customer Reviews (8)
- Great practical training Review by Course Participant/Trainee
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I found the course extremely useful and relevant to my job. Highly recommend it to others. (Posted on 2/24/2025)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 - Engaging trainer Review by Course Participant/Trainee
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Really enjoyed the training. The examples were relevant and the pace was just right. (Posted on 2/7/2024)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 - Great learning experience 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 1/22/2024)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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