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ML & AI SHORT-TERM COURSE

Claude AI Mastery Part 2 Course

Build software, automations and agents with Claude Code, the Claude API and MCP. Levels 6 and 7, for developers and ambitious non-programmers who have completed Part 1.

DURATION
30 hours
FEE
₹29,999
PAYMENT
Single payment
FORMAT
Live · online
✓ Live mentor-led classes✓ Lifetime recordings✓ Certificate

Claude, Claude Code and the Claude Platform are products of Anthropic. This course is designed and taught independently by Careers Ninza and is not affiliated with, sponsored by or endorsed by Anthropic. The Claude logo and name are trademarks of Anthropic.

Claude AI Mastery Part 2 course training in India — Careers Ninza, Kolkata
QUICK ANSWERS

Claude AI Mastery Part 2 course fee: ₹29,999 all inclusive, paid once at enrolment.

Duration: 30 hours, part-time, with live weekday evening sessions from 7pm IST and weekend workshops.

Format: Live online across India, plus classroom batches in Kolkata, Asansol and Durgapur. Every session recorded and yours for life.

Who it suits: Practitioner workshop. No prior experience required.

You finish with: A working capstone: an internal tool, an API automation, an MCP connector or an agent, a verifiable certificate.

Roles it prepares you for: AI automation developer, Internal tools builder, AI engineer (entry level), Solutions engineer, Digital transformation lead.

About the Claude AI Mastery Part 2 course

Part 2 is where Claude stops being an assistant you talk to and becomes something you build with. At Level 6 you use Claude Code to write, test and maintain real software: internal tools, dashboards and automations, inside a real codebase. At Level 7 you put Claude inside your own systems through the Claude Platform API, connect it to company data with MCP, and design agents that run without anyone chatting.

Developers learn to work faster and more safely with an AI pair programmer. Non-programmers learn enough to build and maintain useful internal tools with Claude doing the heavy lifting, and to know when to call an engineer. Everyone builds and demos a working project.

Part 2 requires Part 1. The two parts are designed as one path: Part 1 teaches you to direct and check Claude; Part 2 teaches you to build with it.

Who this program is for

If two or more of these describe you, this is the right course.

— Graduates of Claude AI Mastery Part 1 who want to build, not just use
— Software developers adopting Claude Code in their daily work
— Non-programmers who want to build internal tools for their team
— Engineers and analysts automating repetitive processes
— Founders and product managers prototyping their own products
— IT, digital transformation and operations leads planning a company-wide rollout
— Students building a portfolio project with AI

What you will learn

1 Claude Code in the terminal, desktop app, VS Code and JetBrains, on the web and from mobile
2 Giving Claude a codebase: project memory files, planning, multi-file edits and reviewing diffs
3 Git and GitHub essentials so every change is safe and reversible
4 Building an internal web tool from a blank folder
5 Testing, debugging, code review and security basics
6 Skills, plugins, hooks and subagents to make Claude Code repeatable
7 The Claude Platform: Console, API keys, messages, model choice and cost
8 Tool use and structured outputs to connect Claude to your systems
9 Batch processing thousands of documents
10 Model Context Protocol (MCP): using and building connectors
11 Building agents with the Claude Agent SDK, evaluation and guardrails
12 Team and Enterprise deployment: admin controls, organisation-wide skills and governance

What you will become after this course

Not what you will have watched — what you will be able to do and charge for.

Someone who can direct Claude Code through a real project: plan, build, test and review
A builder who ships small internal tools without waiting for an IT queue
A developer who uses the Claude API with the right model, cost control and structured outputs
Someone who connects Claude to company systems with MCP
A practitioner who can design, evaluate and guard an agent that runs on its own
The person who can plan a sensible organisation-wide Claude rollout

Claude AI Mastery Part 2 syllabus

10 modules, each taught live and reviewed by a mentor.

1 Session 1 — Level 6: Setting up Claude Code View
•Where Claude Code runs: terminal, desktop app, VS Code, JetBrains, web and mobile
•Plans and access, and what you need installed
•Permissions and safety: what Claude can run and how you approve it
•Project memory files that tell Claude how your project works
•Your first session: reading and explaining an existing project
•Git basics: commits, branches and undoing mistakes
2 Session 2 — Level 6: Working inside a codebase View
•Asking Claude to plan before it edits
•Multi-file changes and reviewing every diff
•Running the code and letting Claude check its own work
•Reading errors and fixing bugs together
•When to stop Claude and redirect it
•Exercise: add a real feature to a sample project
3 Session 3 — Level 6: Build an internal tool from scratch View
•Turning a business problem into a short specification
•Building a small web app, for example a daily site progress logger with a dashboard
•Storing data simply and safely
•Making it work on phones
•Running it locally and sharing it
•Exercise: your own internal tool, version one
4 Session 4 — Level 6: Quality, security and repeatable workflows View
•Tests: asking Claude to write them and reading them yourself
•Code review with Claude and by a human
•Security basics: secrets, input validation, OWASP Top 10 awareness
•Skills, plugins, slash commands and hooks
•Subagents for larger tasks
•Deployment options and handing a tool over to a team
5 Session 5 — Level 7: The Claude Platform and API View
•Console, API keys and keeping them secret
•Messages, system prompts and conversation structure
•Choosing models: Haiku for speed, Sonnet for balance, Opus, Fable and Mythos for harder reasoning
•Tokens, cost estimation and prompt caching
•Batch processing for large document jobs
•Exercise: a script that reads and summarises a folder of documents
6 Session 6 — Level 7: Tools and structured outputs View
•Tool use: letting Claude call your functions, databases and systems
•Structured JSON outputs you can rely on in code
•A document pipeline: reading vendor test certificates and checking them against a specification
•Handling errors, retries and edge cases
•Logging and human review queues
•Exercise: an automated checker that flags out-of-tolerance values
7 Session 7 — Level 7: Model Context Protocol (MCP) View
•What MCP is and why it became the standard way to connect AI to systems
•Using existing MCP servers with Claude
•Local versus remote connectors
•Building a simple custom MCP server for an internal system
•Permissions, authentication and data boundaries
•Exercise: a connector to a sample company database
8 Session 8 — Level 7: Agents that run on their own View
•What makes an agent different from a chat or a script
•The Claude Agent SDK and the agent loop
•Planning, tools and memory for agents
•Evaluation: test sets, success criteria and regression checks
•Guardrails and human-in-the-loop approval
•Exercise: an agent that processes incoming documents end to end
9 Session 9 — Level 7: Rolling Claude out across an organisation View
•Team and Enterprise plans: admin controls, single sign-on and usage analytics
•Organisation-wide skills and plugins for consistent output
•Custom connectors with MCP for internal systems
•Governance: data policy, access, audit and DPDP considerations
•A practical rollout plan: pilots, champions, training and measuring value
•Cost control at scale
10 Session 10 — Capstone build and demo day View
•Finish one project: an internal tool, an API automation, an MCP connector or an agent
•Code review with your mentor
•Write a short README and handover note
•Demo to the batch
•Written feedback
•Next steps for your role

Tools you will work in

Claude Code (terminal, desktop, VS Code, JetBrains, web)Git and GitHubClaude Platform Console and APIPython or JavaScriptTool use and structured outputsBatch processingModel Context Protocol (MCP)Claude Agent SDKSkills, plugins and hooksTeam and Enterprise admin controls

What you walk out with

OUTCOME
A working capstone: an internal tool, an API automation, an MCP connector or an agent
OUTCOME
A GitHub repository with a README and handover note
OUTCOME
An API document-processing script with cost estimates
OUTCOME
An organisation rollout plan template
OUTCOME
Course certificate for Part 2

Roles this prepares you for

Salary depends on your city, experience and the strength of your project, so we do not publish package figures we cannot substantiate.

AI automation developerInternal tools builderAI engineer (entry level)Solutions engineerDigital transformation lead

Who can join — eligibility

No marketing or technical background needed. This is the honest list.

Completion of Claude AI Mastery Part 1 (required)
A laptop where you can install software (Windows, macOS or Linux)
A paid Claude plan that includes Claude Code, paid to Anthropic and not included in the course fee
A small amount of Claude API credit for the Level 7 exercises, paid to Anthropic; we show you how to keep this low
No prior programming is required, but expect to read and question code; developers move faster

Certification and placement assistance

What you receive at the end, stated precisely.

01
Careers Ninza course completion certificate for Part 2, issued by Ninza Career Solutions Pvt. Ltd.
02
Capstone project reviewed by your mentor, with a demo-day presentation
03
A GitHub repository you can show employers or clients
04
This is an independent industry certificate, not an Anthropic certification

Placement assistance means interview scheduling for students who perform well on the skill and performance test. It is assistance, not a job guarantee — we do not offer guarantees, and we would be cautious of any institute that does.

Fees and payment

TOTAL PROGRAM FEE
₹29,999
All inclusive. No registration or material charges.
PAYMENT PLAN
Single payment
Paid once at enrolment. No hidden charges.
✓  Live classes with a working practitioner
✓  Lifetime access to every recording
✓  Weekly doubt-clearing session
✓  Certified project reviewed by a mentor
✓  Rejoin any future batch free if you fall behind

Claude AI Mastery Part 2 training across India

Batches run live online, so the class is identical wherever you join from — same trainer, same time, same fee. No city-based pricing. Classroom batches run in Kolkata, Asansol and Durgapur.

TIER 1 CITIES

Ahmedabad, Bengaluru, Chennai, Delhi, Hyderabad, Kolkata, Mumbai, Pune.

TIER 2 CITIES

Agra, Ajmer, Amritsar, Bhopal, Bhubaneswar, Chandigarh, Coimbatore, Dehradun, Faridabad, Ghaziabad, Gwalior, Indore, Jaipur, Jamshedpur, Kanpur, Kochi, Lucknow, Mysore, Nagpur, Nashik, Patna, Raipur, Surat, Vadodara, Visakhapatnam.

TIER 3 CITIES

Bathinda, Bikaner, Cuttack, Etawah, Gandhinagar, Hajipur, Hosur, Jhansi, Junagadh, Madurai, Mathura, Meerut, Rajahmundry, Rohtak, Roorkee, Salem, Udaipur, Vijayawada.

See all locations across India →

Claude AI Mastery Part 2 — frequently asked questions

Still unsure? Call an advisor on +91 90888 39993.

What is the Claude AI Mastery Part 2 course?+

It is a 30-hour live course covering Levels 6 and 7: building and maintaining software with Claude Code, putting Claude inside your own systems with the Claude Platform API, connecting it to company data with MCP, building agents and planning organisation-wide rollouts. It ends with a capstone build and demo.

What is the fee for Part 2?+

The fee is ₹29,999 for the full 30-hour live course, paid once. It covers live sessions, lifetime recordings, the capstone review and the certificate. A paid Claude plan with Claude Code and a small amount of API credit are paid separately to Anthropic.

Do I have to complete Part 1 first?+

Yes. Part 1 is a required prerequisite. Part 2 assumes you can already direct Claude, give it context, check its output and use files, connectors and delegated tasks. Skipping that foundation is the most common reason people struggle with Claude Code and agents.

Can non-programmers join Part 2?+

Yes, after Part 1. Non-programmers learn to build and maintain small internal tools with Claude doing most of the coding, and to read and question code enough to stay in control. Developers move faster and go deeper into the API, MCP and agents. Both build a real project.

What will I build in Part 2?+

One capstone of your choice: an internal web tool such as a site progress logger, an API automation such as a document checker, an MCP connector to a company system, or an agent that processes incoming documents. You finish with a working project, a GitHub repository and a demo.

What is Claude Code?+

Claude Code is Anthropic’s coding tool. It works in a terminal, a desktop app, editors such as VS Code and JetBrains, on the web and from mobile. It can read a whole project, plan changes, edit many files, run the code and check its own work, with you approving what it does.

What is MCP and why does it matter?+

MCP, the Model Context Protocol, is an open standard for connecting AI applications such as Claude to tools and data sources. It lets a company build one connector to an internal system and use it across Claude, instead of writing a custom integration every time.

Which programming language is used?+

Examples use Python or JavaScript, chosen per batch. You do not need to know either beforehand if you completed Part 1; Claude writes most of the code and the mentor teaches you to read it. Developers can use their own language for the capstone.

Is this an official Anthropic course or certification?+

No. Careers Ninza is independent and the course is not affiliated with, sponsored by or endorsed by Anthropic. The certificate is a Careers Ninza industry certificate issued by Ninza Career Solutions Pvt. Ltd., not an Anthropic certification.

Does Part 2 help with jobs?+

It gives you a working project, a GitHub repository and practical skills in Claude Code, the API and MCP that you can show in interviews or to clients. We do not guarantee jobs or salaries; the strength of your capstone is what employers will judge.

Is Part 2 available online across India?+

Yes. It runs live online for learners anywhere in India, including Bengaluru, Hyderabad, Pune, Chennai, Mumbai, Delhi NCR and Kolkata, with classroom delivery in Kolkata, Asansol and Durgapur and on-site batches for companies on request.

Can our company run Part 2 for its developers or IT team?+

Yes. We run closed corporate batches built around your stack, your repositories and your systems, including a pilot rollout plan for Claude across teams. Ask for a proposal on the Business page or message us on WhatsApp.

Is the fee refundable?+

Fees are non-refundable once enrolment is confirmed. If your plans change, we transfer or defer your seat to a later batch at no cost. Take the free counselling call first if you are unsure whether Part 2 suits you.

How do I enrol in Part 2?+

Complete Part 1, then call +91 90888 39993, email [email protected] or send an enquiry on WhatsApp from this page. An advisor confirms your Part 1 completion and the next Part 2 batch, and sends written confirmation of the ₹29,999 fee.

Claude AI Mastery Part 2 across India — city questions

Same class, same fee, same mentor, wherever you are.

Is Claude AI Mastery Part 2 available in my city?+

Yes. Every batch runs live online, so learners across India attend the same class in real time — including Visakhapatnam, Guwahati, Patna, Ahmedabad, Surat, Vadodara, Rajkot, Faridabad, Gurugram, Bengaluru and every other city and town. There is no separate recorded version for students outside Kolkata, and no city has a different curriculum.

Does the Claude AI Mastery Part 2 course fee change by city?+

No. The fee is ₹29,999 everywhere in India. We do not price differently for metro and non-metro learners, and there are no travel or centre charges for online batches.

Do you have a classroom centre near me?+

Classroom batches run in Kolkata, Asansol and Durgapur. Everywhere else in India is served by live online delivery, which most working professionals and students prefer. On-site delivery in other cities is available for corporate teams and college groups on request.

What are the batch timings for people in different time zones within India?+

India runs on a single time zone, so timings are identical nationwide: weekday evening sessions from 7pm IST with weekend workshops. Every session is recorded and stays yours for life, so a late shift or travel never costs you a module.

Will placement support help me find work in my own city?+

Short workshops include portfolio guidance so the work is usable in interviews and client pitches wherever you are. Full placement support, including referrals, comes with our long-term programs.

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Seats in every batch are capped

Talk to an advisor for fifteen minutes. We will tell you whether Claude AI Mastery Part 2 fits your goal — or which program does instead.

APPLY NOW CALL +91 90888 39993