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Kodestree

Claude AI Training Online

49 Lessons
|
40 hours

kodestree offers comprehensive Claude AI Training for beginners and working professionals. This course comes with structured learning paths, live video lessons, and hands-on assessments to help you master AI collaboration, Claude development, MCP, etc. ✅ Level – Beginner to Advanced ✅ 40-Hour Live Instructor-Led Training ✅ 100% Practical Prompting, Projects, API Labs, and Use Cases ✅ Hands-on Claude Code & Claude Artifacts Exercises ✅ Real Anthropic Claude Console Walkthroughs ✅ Trainers with Real-World GenAI Deployment Experience ✅ Lifetime access to recorded lectures and study material

Claude AI Training Online
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About Course

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

Course Curriculum

Course Content

Lesson 1 – Introduction to Claude AI

  • Overview of Claude AI and Anthropic models: Claude 4.x, Opus 4.8, and the new Mythos-class models (Fable 5 and Mythos 5)
  • Features and limitations of Claude models
  • Account setup and interface navigation
  • Understanding Claude’s model architecture
  • Overview of Claude “Projects” and use cases

Lesson 2 – Fundamentals of Prompt Engineering

Lesson 3 – Advanced Prompt Design and Context Handling

Lesson 4 – Personalization, Memory, and Multi-Modal Features

Lesson 5 – Claude API and Developer Integration

Lesson 6 – Building Applications with Claude

Lesson 7 – Claude Code and Tool Integrations

Lesson 8 – Autonomous Agents and Workflow Automation

Lesson 9 – Governance, Safety, and Responsible AI

Request For Live Demo Class

Self Paced Learning
₹23,940.00
✓ Refund Policy
  • Duration: 40 hrs
  • 49 Lessons & Practical Labs
  • Lifetime Full Access & Free Upgrades
  • Downloadable Study Materials & Code Labs
  • Recognized Certification of Completion
  • 24x7 Online Support & Learner Forum
One to One Training
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  • 100% Customized Delivery & Curriculum
  • Flexible Schedule as per Learner Convenience
  • Top Tier Industry-Experienced Instructors
  • Tailored Hands-On Project Mentoring
  • Dedicated Interview & Career Guidance
  • 24x7 Dedicated Priority Support

Placement Partners

Hettich
Bechtel
Emirates
Mitsubishi
Indian Navy
Tech Mahindra
AU Small Finance Bank
Capgemini
United Nations
Yash Technologies

Want to know Today's Offer

Claude AI Training Online Certification Exam

Upon completing the Claude AI Training Online, you will receive a globally recognized certification that validates your expertise in data science, machine learning, and AI model development. This certification is a testament to your practical knowledge, hands-on skills, and professional readiness.

The AI & Data Science certification exam assesses your ability to apply real-world concepts, tools, and techniques learned during the course. Certified professionals are in high demand across industries, opening doors to exciting career opportunities and higher salary potential.

Our certification is recognized by top employers and organizations worldwide. Whether you are looking to advance your current career, switch to a new role, or demonstrate your expertise to clients, this certification gives you the competitive edge you need in today’s fast-paced technology landscape.

Read more
Claude AI Training Online

Frequently Asked Questions

Start with the basics of prompting inside Claude.ai, then move to structured learning - like this Claude AI Training - that adds Projects, the API, and Claude Code through guided, hands-on practice.

The best fit depends on your goals, but look for a course with live instruction, project work, and a curriculum kept current with Anthropic's releases- criteria kodestree's Claude AI Online Training is built around.

Most beginners get comfortable with core prompting in a couple of weeks; a structured 30-hour course like this one covers prompting through API and Claude Code workflows in about a month of part-time study.

Yes. Basic usage is intuitive for anyone comfortable typing in a chat window; the learning curve appears later, when you move into API calls, tool use, and agentic automation - areas this course covers step by step.

None beyond basic computer literacy to get started. Familiarity with writing clear instructions helps, and prior programming exposure is useful (not required) for the API and Claude Code modules.

No, everyday use - chatting, Projects, Artifacts - needs no code. Coding becomes relevant only if you want to use the Claude API or Claude Code for automation, which this course teaches from scratch.

Absolutely. A large part of this Claude AI Classes curriculum - prompting, Projects, content workflows, and connectors - is fully no-code and aimed at non-technical professionals.

Yes, Anthropic runs a proctored Claude Certification Program via Pearson VUE, but access is currently restricted to organizations in the Claude Partner Network rather than open public registration.

Both cover prompting fundamentals, but Claude-focused training spends more time on Anthropic-specific features like Projects, Artifacts, Claude Code, and MCP connectors, which don't have direct equivalents elsewhere.

The course is designed for that outcome: project work builds a portfolio, and kodestree pairs training with resume support, mock interviews, and placement assistance for eligible learners.

Contact Us Worldwide

Call:
+91 7204614489

WhatsApp:
+91 7204614489

Email:
admissions@kodestree.com

LEARNER SUCCESS

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Real feedback from professionals who transformed their careers with our training

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“

The trainers explained concepts through real-world attack scenarios, which I was able to apply on the job right after the course. Structured curriculum and hands-on labs were the best part.

“

After the CSM training, I can confidently facilitate Sprint ceremonies. The trainer's practical approach and real project examples were extremely helpful.

“

Agile concepts were explained clearly, especially backlog management and team facilitation. A bit more time would have made it even better, but overall a solid course.

“

Even as a beginner, I never felt lost — the step-by-step labs and doubt-clearing sessions made switching careers so much easier.

“

This training gave me more than just a certification — it gave me a Scrum Master mindset. The modules on servant leadership and conflict resolution were the most valuable.

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