Claude Certified Developer Training at Wisen, Chennai, India, covers the development workflows required to build with Claude, including Prompt Engineering, Messages API, Context Windows, Files API, Tool Use, Tool Runner, Tool Infrastructure, MCP, Agent SDK, and many more. Build practical skills for developing, integrating, testing, and deploying Claude-powered applications.
Structured Learning. Real-World Thinking.AI-Powered Project Development.
Learn. Certify. Grow Your Career.
Build practical Claude development skills for the AI-Era with hands-on training in Messages API, Agentic AI, Claude Code, MCP, AI agents and workflows, application integration, model selection, evaluation, testing, and debugging. Develop project-ready AI development skills and learn to build reliable AI-powered solutions while opening new career opportunities in modern software development.
Foundations of AI-Assisted Development Topics
Foundations of AI-Assisted Development Topics
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Prepare your development teams for modern AI-powered software engineering through AI-Enabled Learning across Agentic AI, AI Agents, MCP, AI Workflows, AI-Powered Applications, Claude Code, Evaluation, Testing, Debugging, and Model Selection. Wisen’s Claude Certified Developer Training combines AI-Assisted Learning for understanding with AI-Paired Training for practical development, helping professionals build effective AI-powered solutions while retaining engineering judgment, technical ownership, and problem-solving skills.
Develop practical skills across Agentic AI, MCP, Claude Code, AI applications, workflows, evaluation, and modern AI development.
Learn to work effectively with Claude and AI development tools while keeping human reasoning, engineering judgment, and ownership at the center.
Build structured learning paths for new hires, freshers, and experienced developers adopting or strengthening AI development skills.
Practice building AI agents, connecting tools through MCP, developing with Claude Code, creating workflows, and integrating AI into applications.
Align training with your team’s roles, development stack, AI adoption goals, projects, and organizational requirements.
Evaluate practical progress through AI-assisted assessments that identify strengths, skill gaps, and areas for improvement.
Develop practical capabilities through Claude Course training to build AI-powered applications, work with Claude Code, design agentic workflows, integrate tools through MCP, manage context, evaluate AI systems, and apply testing and debugging practices. Learn to collaborate with Claude as an active development partner while retaining engineering judgment and ownership.
Build practical applications and development workflows using Claude’s capabilities and modern AI development practices.
Develop effective coding workflows with Claude Code for code exploration, implementation, refactoring, debugging, and documentation.
Design AI systems that can reason through tasks, use tools, and execute multi-step workflows.
Structure agents and workflows around clear objectives, tools, instructions, context, and expected outcomes.
Understand how MCP connects Claude with external tools, data sources, and services.
Integrate Claude with external capabilities so AI workflows can perform useful actions within applications.
Organize instructions, project information, examples, constraints, and other context for reliable AI collaboration.
Collaborate with Claude during implementation while reviewing, understanding, and validating generated code.
Integrate Claude capabilities into software applications, development environments, and business workflows.
Select appropriate models based on capability, task complexity, performance, cost, and application requirements.
Evaluate AI responses and workflows against accuracy, reliability, relevance, and task- performance requirements.
Develop systematic approaches for testing prompts, agent workflows, tool interactions, and AI-powered applications.
Investigate failures across prompts, context, tools, workflows, and application logic to improve system reliability.
Apply Claude Certified Developer Training practices to collaborate with Claude as an active development partner while retaining engineering ownership.
Apply concepts from a Claude Code Course to practical development workflows, including implementation, debugging, testing, and project-level collaboration.
After completing Claude Training, participants can build with Claude rather than simply use it. They can apply agentic workflows, MCP, tool integration, Claude Code, evaluation, testing, and debugging to practical software development challenges while maintaining strong engineering judgment.
This Claude Course is taught from material grounded in 27+ years of Python training and software engineering experience, extended through daily agentic development work and refined across corporate Claude Certified Developer Training programs and live batches.
Every chapter, worked session, lab activity, and exercise in this Claude Training follows real engineering tasks — planning a change, working through a codebase, reviewing a diff, and automating repetitive work in a Claude Code Course workflow — so you learn to lead the tool rather than watch it.
Explanations of context, instructions, tools, and review loops written for practising developers.
Labs that carry one change through planning, implementation, and verification with Claude.
Independent tasks on codebase exploration, refactoring, test writing, and diff review.
Worked command-line sessions showing project setup, instruction files, and repeatable workflows.
A route from first conversations to multi-step agentic work and API integration, step by step.
Compact references for models, settings, and the review habits that keep AI- assisted work safe.
Authored by trainers who assess agentic output against decades of delivered software.
Written by trainers who work with these tools daily, then reviewed line by line.
Created in-house, not assembled from documentation or shared prompt collections.
Every technique is applied to a real repository task and its result inspected.
Revised as models and developer tooling move, so sessions reflect what works this month.
Materials teach reading the diff and testing the change, not accepting output on trust.
Our Commitment
The Claude topics listed on this website describe the real learning journey of our live instructor-led online training. We follow the published sequence and add fresh workflow examples, tooling updates, and engineering scenarios whenever they improve the outcome for a batch.
Claude Training is evaluated twice, independently. An experienced trainer assesses how you direct the model through real development work, and an AI evaluation reviews the code that results.
Claude Certified Developer Training treats agentic coding as an engineering discipline. The evaluation therefore covers context, instructions and review habits alongside the Python itself.
Our experienced trainers evaluate your ability to:
Give Claude the files, constraints and goal it needs, and nothing that misleads it.
Write project instructions that produce consistent results across sessions.
Read and challenge generated changes rather than approving them wholesale.
Run, test and reason about every change before accepting it.
Apply Claude Code Course techniques to multi-step tasks in a real codebase.
Keep a task bounded so the change stays reviewable.
Use the Claude API and developer tooling from Python sensibly.
Respect confidentiality, licensing and review obligations.
Deliver AI-assisted changes you can defend in code review.
Our independent AI evaluation reviews the Python you produce to assess:
Verify that you can explain every accepted change in your own terms.
Analyse whether the change addresses the requirement it claimed to.
Evaluate adherence to Python standards across AI-assisted work.
Review readability, cohesion and consistency with the surrounding codebase.
Identify regressions and confident-looking errors left unchecked.
Suggest simpler implementations than the accepted one.
Recommend improvements based on current Claude Course guidance.
Evaluate whether the work would pass a professional review.
Human trainers evaluate how you brief, correct and constrain the model.
AI independently reviews the resulting code for defects and quality.
Together they develop the judgement that separates an operator from an engineer.
By combining Human Evaluation with Independent AI Evaluation across the Claude Training, you will:
Claude Certified Developer Training from Wisen IT Solutions, Chennai is delivered live in two paces, with the hours weighted towards building agentic workflows you can defend in review.
Total Learning Hours
40 - 45 HoursInstructor-led model sessionsClaude API practiceAgent and tool-use labsAssisted development projects
A steady pace for developers taking Claude Training beside their day-to-day work.
A concentrated schedule through the Claude Code Course for learners free on weekdays.
Live Instructor-Led Training
Model & Context Learning
Hands-on Claude API Coding
Agent Workflow Lab Activities
Tool Use & MCP Exercises
AI-Assisted Learning
Independent Code Evaluation
Doubt Clarification
Safe Deployment Guidance
Whichever batch of this AI Tools Course you join, the Claude Course syllabus, labs and certification-readiness evaluation are identical. Only the pace differs.
Agentic development is a practice, not a topic to be read. This Claude Course is delivered on a 50:50 Lecture-Practical Ratio, so every context, tool-use and agent-loop concept is run against the live Claude API while it is being taught.
The Claude Training has you build tool-using agents and drive real repositories from the terminal, which is exactly what the Claude Certified Developer Training is assessed on.
Understand how Claude reasons over context and tools.
Build agents and drive real codebases in every session.
Watch a tool result return and steer the next turn.
Each concept becomes a tool your agent can actually call.
Practise the Claude Code Course workflow on genuine code.
Decide what an agent may do before you let it run.
Leave able to demonstrate the skills, not just describe them.
Every Claude concept is followed by an agent or workflow you run yourself.Wisen IT Solutions, Chennai runs this Claude developer programme on the view that agentic engineering is proven by an agent that completes a task, not by a description of one.
This Claude Course assumes no AI or agent-framework experience. Prompting, context engineering, tool use and terminal-driven agentic development are introduced from the first session.
The Claude Training is delivered live online, so everyone on the Claude Certified Developer Training path starts the Claude Code Course exercises from the same baseline.
Students & Graduates
Python & Full-Stack Developers
Tech Leads & Architects
Teams adopting agentic development in daily work
You do not need machine-learning knowledge or a prior certification to follow this Claude Code Course. Context engineering, subagents, project instructions, review discipline and the certification preparation are built up from your first guided Claude Code session.
All you need is basic Python, a laptop and a codebase you want to move faster on.
We’ll take care of the rest!This Claude Course is taught inside the tools Anthropic actually ships: Claude Code in the terminal and the IDE, the Messages API through the Python SDK, and MCP for connecting Claude to your own systems.
The Claude Certified Developer Training path adds the parts that decide whether an agent is safe to trust — subagents, hooks, permission modes and prompt caching — so the Claude Code Course goes well past autocomplete.
Claude Code CLI
VS Code Extension
Slash Commands
CLAUDE.md Context
Git Worktrees
Permission Modes
Anthropic Python SDK
Messages API
Streaming Responses
Tool Use
Prompt Caching
Vision Inputs
MCP Servers
Subagents
Hooks
Agent SDK
Agentic Loops
System Prompts
XML-Tagged Structure
Extended Thinking
Few-Shot Examples
Output Verification
You finish the Claude Training able to build an agent that reads a codebase, calls your own tools through MCP, and stops where you told it to — the certification-level competence this Claude Course is designed around.
Drive Claude Code
Build on the SDK
Connect via MCP
Certification-Ready
Wisen provides training for the Claude Certified Developer program from Anthropic. The training is designed to help learners build the knowledge and practical development capabilities required for the program.
Python Course is a prerequisite for Claude training at Wisen. Learners should complete the Python Course before beginning the Claude Certified Developer pathway.
Wisen's approach combines AI-Paired Learning, industry-expert-developed course material, and Independent AI Evaluation Chapter by Chapter to help learners prepare systematically.
The certification fee, registration requirements, and any examination charges are determined by Anthropic and may change over time. Wisen's Claude Certified Developer Training is the preparation program and should be distinguished from any certification fee charged by Anthropic.
Learners should verify the latest certification pricing and registration information directly with Anthropic before registering for the certification.
The difficulty of a certification exam depends on the learner's existing Python knowledge, development experience, understanding of Claude, and ability to apply concepts to practical situations.
Wisen's Claude Training focuses on structured preparation rather than memorization. Through chapter-by-chapter learning and Independent AI Evaluation Chapter by Chapter, learners can identify gaps in understanding and strengthen their preparation progressively.
The right Claude certification depends on your career objective and the type of work you want to perform with Claude. For developers who want to build practical software-development capabilities with Claude, the Claude Certified Developer program from Anthropic is the relevant pathway taught by Wisen.
Wisen's training focuses specifically on preparing learners for this developer-oriented pathway.
Start with a strong Python foundation, then develop your understanding of Claude, AI-assisted development, software development workflows, and practical use of Claude in development.
Python is a prerequisite for Wisen's Claude Certified Developer Training, so learners should first complete the Python Course.
Wisen then combines industry-expert-developed course material, AI-Paired Learning, practical development, and Independent AI Evaluation Chapter by Chapter to support certification preparation.
Start by completing the Python Course, which is the prerequisite for Wisen's specialized training programs. You can then progress into the Claude Certified Developer Training pathway.
The learning approach encourages learners to Think with AI. Don't depend on AI. Claude is used as an active collaborator while learners continue to own their reasoning, implementation, testing, and technical decisions.
The Claude Course is suitable for developers, students, working professionals, technology learners, and career switchers who want to develop practical skills with Claude and progress toward AI-enabled software development.
Because Python is the foundation for the specialized courses, learners should complete the Python Course before joining the Certified Claude pathway.
Claude Code is Anthropic's coding-focused tool for working with Claude in software development workflows. It can assist developers with tasks such as understanding codebases, implementing changes, debugging, working with files, and supporting development activities.
A Claude Code Course can therefore help developers understand how to incorporate Claude into practical development workflows rather than using it only as a conversational AI tool.
Wisen's AI-Paired Learning approach emphasizes using Claude as a development partner while the developer remains responsible for understanding requirements, reviewing changes, testing implementations, and making technical decisions.
Claude Training can help learners develop practical experience working with AI as part of modern software development workflows. Combined with Python fundamentals, it can support progression toward AI Development and other AI-enabled development paths.
Wisen's training emphasizes practical application, AI collaboration, independent evaluation, and the ability to understand and validate AI-generated solutions.
Yes. Wisen provides instructor-led online Claude Training. Learners receive live instructor guidance while progressing through the Claude Certified Developer learning pathway.
The training combines instructor guidance with industry-expert-developed course material, AI-Paired Learning, and Independent AI Evaluation Chapter by Chapter.
The Python Course is a prerequisite for Claude Training and the other specialized courses in the Wisen training catalogue.
Corporate Training Clients
The software industry is evolving with AI—not disappearing. Wisen's AI-Enabled Learning helps you master modern technologies, build strong engineering fundamentals, and collaborate effectively with AI tools like ChatGPT and Claude. Develop the practical skills, critical thinking, and real-world experience needed to build software with confidence and remain valuable throughout your career.
Talk to our AI Learning Advisor
+91 900 31 31 555