Claude Certified Developer – Foundations (CCDV-F)
(Developer Foundation Training Program Certification Preparation + Production Engineering + Hands-on Implementation)
Nikitha – Claude Certified Developer & AI Development Trainer brings hands-on expertise in Claude, Claude Code, AI-assisted software development, prompt engineering, Agent Skills, MCP integrations, and modern AI development workflows. She focuses on practical, industry-oriented training that enables learners to use Claude effectively for code generation, debugging, refactoring, testing, documentation, code reviews, repository understanding, and building AI-powered applications. Her hands-on approach includes working with real-world development scenarios, Claude Code workflows, reusable Agent Skills, MCP-based integrations, subagents, automation, and AI-assisted software engineering practices, helping learners confidently apply Claude technologies to practical projects and day-to-day development tasks.
Hands-on Experience
Nikitha’s hands-on training covers:
- Code generation, debugging, refactoring and test creation
- Practical development workflows from requirement → coding → testing → deployment
- Claude & Claude Code for AI-assisted software development
- Building reusable Agent Skills
- Working with real-world codebases and development repositories
- Working with CLAUDE.md and project-specific instructions
About the Instructor:
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Nikitha is a Claude Certified Developer specializing in AI-powered software development and modern AI engineering practices. Preferably 4+ years of relevant hands-on experience; teaching experience is an advantage. She helps developers understand how to use Claude effectively for code generation, debugging, refactoring, testing, documentation, and code review. She demonstrates how developers can use AI to analyze requirements, understand unfamiliar repositories, implement features, identify issues, write tests, and improve existing applicationsHands-on experience with LLM applications, Claude API and preferably Claude Code/MCP Able to explain REST, async processing, authentication, testing and deployment. Her training also focuses on responsible and effective AI usage, including providing the right context, reviewing AI-generated code, validating outputs, and maintaining software quality Strong software-development background with production API experience Comfortable discussing AI security and evaluation, not only prompt engineering. Through hands-on exercises and project-oriented learning, Nikitha helps learners develop practical skills that can be applied to their day-to-day software development and AI engineering roles.Her goal is to help learners move beyond simply using AI as a chatbot and learn how to use Claude as a practical development partner throughout the software engineering lifecycle. |
Free Demo On:
Indian Timings: 25th October @ 9 PM – 10 PM (IST)/
U.S Timings: 25th October @ 11:30 AM – 12:30 PM (EST)/
U.K Timings: 25th October @ 4:30 PM – 5:30 PM (BST)
Class Schedule:
For Participants in India: Monday to Friday @ 9 PM – 10 PM (IST)
For Participants in the US: Monday to Friday @ 11:30 AM – 12:30 PM (EST)
For Participants in the UK: Monday to Friday @ 4:30 PM – 5:30 PM (BST)
What will I learn by the end of this course?
Build a Claude-powered application using the API and an SDK.
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- Understand the fundamentals of Claude and Claude AI capabilities
- Use Claude Code effectively for real-world software development
- Write effective prompts and context instructions for better AI-generated results
- Use AI for code generation, debugging, refactoring, and optimization
- Understand and work with CLAUDE.md project instructions
- Build and use reusable Agent Skills
- Understand MCP (Model Context Protocol) and connect Claude with external tools and systems
- Work with AI Agents, subagents, and tool-based workflows
- Use Claude to understand and navigate existing codebases and repositories
- Generate and improve unit tests and automated testing workflows
- Use Claude for code reviews, documentation, and developer productivity
- Apply AI-assisted workflows for feature development and problem solving
- Understand best practices for reviewing, validating, and improving AI-generated code
- Build practical Claude-powered development workflows through hands-on exercises and projects
- Apply Claude effectively in real-world software engineering scenarios and day-to-day development tasks.
- 30+ Hours of Live Training along with recorded videos
- 1Year access to the recorded videos
- Course Completion Certificate
What will I learn by the end of this course?
- •Select a suitable Claude model based on quality, latency, cost and workload requirements.
• Implement streaming, batching, files/content handling and robust error handling.
• Design prompts and context deliberately rather than relying on trial-and-error prompting.
• Build tool-using applications and understand when to use MCP.
• Distinguish deterministic workflows from agentic systems and implement appropriate orchestration.
• Use Claude Code productively within a controlled software-development workflow.
• Design basic evaluation and regression-testing approaches for LLM applications.
• Identify prompt injection, secret exposure, unsafe tool use and untrusted-input risks.
• Reason through CCDV-F-style multiple-choice and multiple-response scenarios.
Course Features
- Lecture 0
- Quiz 0
- Duration 10 weeks
- Skill level All levels
- Language English
- Students 0
- Assessments Yes
