kodestree’s Claude AI Course walks you through the complete Anthropic’s Claude ecosystem, like Chat, Projects, Artifacts, Claude Code, and the API, so you can build real workflows instead of just reading about them. Across live sessions, mentors break down prompt design, agentic tooling, and enterprise use cases with case studies drawn from support, content, research, development, and engineering teams already running Claude in production.
Prerequisites
- A genuine interest in AI Chatbots or Tools; no prior AI background required
- Elementary understanding of English writing for prompt-based exercises
- Familiarity with any programming language, like Python, is helpful, but not mandatory for the core track
- Access to a laptop/desktop with a stable internet connection for live labs
Why Learn Claude AI
Claude has moved from a novelty chatbot to a workplace default, embedded inside Slack, Chrome, Excel, and countless internal tools that teams rely on daily. Recruiters increasingly screen for candidates who can direct an AI model rather than merely use one, and Claude’s growing footprint in coding, research, and enterprise automation makes it one of the more transferable AI skills to pick up right now. Learning Claude AI early, while adoption is still accelerating, puts you ahead of colleagues who are only just discovering what Projects, Artifacts, or Claude Code can do.
Course Objectives
By the end of this Claude AI Certification Course, you will be able to:
- Explain how Claude’s underlying model and safety approach differ from other LLMs
- Latest Claude models, including Febal, Sonnet, Opus, Haiku, Fable, and their capabilities
- Write structured, high-precision prompts for varied business scenarios
- Organize work using Projects, Artifacts, and persistent context
- Connect Claude to external tools and data through the API and MCP
- Automate repetitive tasks using Claude Code and agentic workflows
- Evaluate outputs critically and apply responsible-AI checks before deployment
What You Will Learn
This Claude AI Bootcamp is built around hands-on modules, including:
- Anthropic’s Claude model family and how to choose the right one for a task
- Prompt engineering fundamentals: roles, context windows, and iterative refinement
- Building and managing Projects, Artifacts, and reusable Skills
- Working with the Claude API: requests, tokens, tool use, and structured outputs
- Automating coding and DevOps tasks using Claude Code
- Connecting Claude to Google Drive, Slack, and other apps via connectors and MCP
- Data analysis, summarization, and content workflows using Claude
- Responsible AI practices: bias checks, hallucination detection, and data privacy
Who is this Course For?
This Claude AI Course for Beginners and working professionals suits:
- Freshers and students exploring a career in applied AI
- Developers who want to add Claude Code and API skills to their toolkit
- Content, marketing, and research professionals automating daily writing tasks
- Business analysts and product managers evaluating AI tools for their teams
- IT and support professionals building internal Claude-powered assistants
- Entrepreneurs and freelancers who want to offer AI-enabled services
Top 5+ Tools You Will Work With
- Claude.ai (web and desktop chat interface)
- Claude Console and the Claude API
- Claude Code (agentic coding tool)
- Claude in Chrome, Excel, and PowerPoint
- Model Context Protocol (MCP) connectors
- Projects, Artifacts, and Skills features
- Slack and Google Workspace integrations
Skills You Will Gain
Graduates of this Claude AI Professional Training walk away with:
- Advanced prompt engineering and context management
- API integration and basic tool-use design
- Workflow automation using Claude Code
- AI-assisted research, writing, and data analysis
- Cross-tool orchestration with MCP connectors
- Responsible and ethical AI evaluation practices
- Machine Learning and Natural Language Processing
Career Outcomes
This training opens doors to roles such as:
- AI Prompt Engineer
- Claude / GenAI Application Developer
- AI Automation Specialist
- AI Product Analyst
- Conversational AI Consultant
- AI-Enabled Content or Research Strategist
Capstone Projects You Will Work With
1. AI-Powered Customer Support Assistant
“Build a support bot that knows your orders, your FAQs, and when to escalate to a human.”
Build a support chatbot using the Claude API with tool use / function calling- it looks up order status, searches a knowledge base, and escalates tickets it can’t resolve.
Skills: API integration, tool use, structured outputs
Time: 8-10 hours
Deliverable: Working chatbot demo + documented prompt and tool schemas
2. Automated Content & Research Workflow
“Turn raw research notes into publish-ready content, on autopilot.”
Set up a Claude Project with persistent brand context, then use Artifacts to turn raw notes into blog posts, captions, and summaries. Connect Google Drive or Slack via MCP to pull sources and push finished drafts automatically.
Skills: Context management, Artifacts, MCP connectors
Time: 6-8 hours
Deliverable: A repeatable content pipeline with a before/after example
3. Agentic Codebase Assistant
“Let Claude Code audit, test, document, and PR a real repo- while you supervise.”
Use Claude Code to audit a sample repo, write missing unit tests, generate documentation, fix bugs, and open a pull request- practicing review and correction of AI-generated code.
Skills: Agentic workflows, code review, responsible AI evaluation
Time: 8-12 hours
Deliverable: GitHub repo with before/after diff, PR, and a short write-up
Claude AI Professionals Salary
| Experience Level | India Salary (Annual CTC) | USA Salary (Annual) |
|---|---|---|
| Beginner (0-2 Years) | ₹6 – ₹16 LPA | $90,000 – $140,000 |
| Intermediate (2-5 Years) | ₹16 – ₹30 LPA | $140,000 – $190,000 |
| Experienced (5+ Years) | ₹30 – ₹60+ LPA | $190,000 – $300,000+ |
Top Hiring Companies For Claude AI Professionals
The following are some of the top companies actively hiring Claude AI professionals for AI development, automation, and enterprise AI initiatives.
- Anthropic
- OpenAI
- Google DeepMind
- Microsoft AI
- Amazon AWS AI
Why Choose kodestree for This Training?
kodestree stands out among Claude AI training providers for a few reasons:
- Live, instructor-led sessions with practicing GenAI professionals, not pre-recorded slides
- Curriculum refreshed regularly to track Anthropic’s latest Claude releases
- Hands-on labs, real datasets, and project-based assessments
- Flexible batch timings for working professionals across time zones
- Lifetime access to session recordings and course material
- Dedicated placement assistance, resume reviews, and mock interviews
- 24/7 learner support before, during, and after the course
Claude AI Trainer
Rithika Mohan
Ex-Fortune 500 AI Team
Rithika is a software engineer and AI workflow consultant with over 15 years of experience in software engineering, DevOps automation, and Generative AI. She specializes in Claude AI and Claude Code, helping professionals and engineering teams use Claude for prompt engineering, AI-assisted development, workflow automation, agentic applications, and enterprise AI solutions. Her practical experience includes working with Claude Code, Model Context Protocol (MCP), CLAUDE.md configuration, tool integrations, and AI-powered development workflows.
Expertise:
- Claude AI & Claude Code workflows
- Prompt engineering and advanced Claude prompting techniques
- Model Context Protocol (MCP) and tool integration
- Claude API and AI-powered application development
- CLAUDE.md configuration and custom AI workflows
- Agentic AI development and AI-assisted software engineering
- GitHub, CI/CD, and Claude-powered development automation
- Python, JavaScript, and Generative AI application development
Highlights:
- 15+ years of industry experience across software engineering, automation, and AI technologies
- Hands-on experience using Claude AI and Claude Code for real-world development and automation workflows
- Experience helping professionals and engineering teams integrate Claude into software development processes
- Practical knowledge of MCP, Claude API, prompt engineering, and agentic AI workflows
- Trains learners to apply Claude AI beyond basic prompting through practical, job-oriented use cases
- Known for simplifying advanced Claude AI concepts into practical skills that professionals can apply at work