IT Jobs Are Slowing. AI Jobs Aren't.
The AI Agent & Automation Engineer program at Appin Technology: 3 months of training, then 3 months building real AI agents on Botkovai projects, with a stipend during the internship.
- 15+ years training students
- 20,000+ students trained
- Batches of 05
Where hiring moved
Year-on-year change in job postings, September 2026
Source: Naukri JobSpeak, September 2026
The demand is in AI. The numbers show it.
Big IT firms are hiring fewer general freshers. Companies are hiring for AI skills, and the gap between what they want and what colleges teach is where this program sits.
More AI/ML job postings than a year ago, across all sectors in India.
Naukri JobSpeak, Sep 2026Growth in fresher AI/ML hiring, while hiring for all freshers grew just 1%.
Naukri JobSpeak, Sep 2026AI-linked roles in India: 2.9 lakh in 2025, projected 3.8 lakh in 2026 (+32%).
foundit Insights Tracker, via Storyboard18, Jan 2026Year-on-year jump in demand for generative AI and LLM skills in 2025.
foundit Insights Tracker, via Storyboard18, Jan 2026Fall in IT and software services postings, the sector most freshers apply to first.
Naukri JobSpeak, Sep 2026Net new jobs worldwide by 2030: 170 million created, 92 million displaced. AI and data skills grow fastest.
World Economic Forum, Future of Jobs Report 2025Entry-level AI/ML salaries are reported to start around ₹5 lakh a year and rise with experience (Business Today, Jan 2026). Actual pay depends on the employer, role and your skills.
What employers ask for, and where you learn it
AI job descriptions in 2026 list the same few skills again and again. Each one is a module in the program, with a project you can show.
Based on our review of 2026 AI-role job descriptions. Employers also increasingly hire for demonstrable skills and real projects over degrees.
Learn for 3 months. Work for 3.
You don't leave with only a certificate. You leave with 7 projects on GitHub, a deployed capstone and three months of project experience.
Foundations
Python, Git, AI-assisted coding, SQL, how LLMs work.
Build and integrate
FastAPI, LLM APIs, n8n, WhatsApp API, CRM.
Agents and delivery
RAG, agents, Docker, cloud, testing. Selection gate in the final week.
Guided delivery
Onboarding at Botkovai, codebase tour, a starter agent with tools.
Project delivery
Agents on real APIs, databases and CRMs, with approvals and logging.
Ownership and demo
Own a module end to end. Final demo, handover, interviews.
The syllabus, hour by hour
12 modules across 110 trainer hours: 1.5 hours every weekday plus four 3-hour Saturday build workshops. Open any month to see topics and the project you build.
Trainer hours per module
Total: 110 hours
Month 1: Foundations36 trainer hours
Python, Git and AI-Assisted Coding22 h
Python fundamentals, OOP, JSON/CSV, Pydantic. Git and GitHub. AI-assisted coding with ChatGPT, Copilot, Cursor or Claude, and how to spot incorrect or insecure AI output.
You build: Student Enquiry Management System
SQL and PostgreSQL10 h
Schemas, joins, aggregation, indexes, Python database access, SQL injection basics.
You build: Database-backed enquiry system with reports
LLM and AI Foundations4 h
How LLMs work: tokens, context windows, trade-offs. Where they fail, hallucinations, privacy and responsible use.
You build: LLM experiment log comparing prompts and models
Month 2: Build and integrate37 trainer hours
FastAPI, REST APIs, Webhooks and Auth12 h
REST and JSON, FastAPI backends, API keys, tokens and OAuth basics, webhooks, retries and error handling.
You build: Lead Management Backend
LLM APIs, Prompting and Structured Outputs11 h
LLM API integration, prompt engineering, JSON schemas, classification and extraction, output validation, cost and latency.
You build: AI Business Assistant
Automation: n8n, WhatsApp API, Zoho/CRM10 h
Workflow automation with n8n or Make, WhatsApp Business API flows, Google Sheets, email and CRM integrations.
You build: WhatsApp/CRM Lead Automation
Light Frontend for AI Apps4 h
Streamlit or basic HTML/JavaScript/React, forms, connecting a frontend to FastAPI, loading and error states.
You build: A usable web interface for your AI backend
Month 3: Agents and delivery37 trainer hours
RAG with pgvector10 h
RAG architecture, chunking, embeddings, vector search with pgvector, grounded answers with sources, retrieval evaluation.
You build: Enterprise Knowledge Assistant
AI Agents: Tool Calling, MCP, LangGraph, Guardrails14 h
Assistants versus agents, tool calling, Model Context Protocol, multi-step workflows, human approval, logging, prompt-injection awareness. The core skill of the program.
You build: AI Business Workflow Agent
Docker, Git Workflow and Cloud Deployment6 h
Docker and Compose, pull requests, secrets, HTTPS, deployment on AWS or equivalent, health checks, GitHub Actions basics.
You build: Deployed AI application with logs and notes
Testing, AI Evaluation and Security4 h
pytest and API tests, secure keys, prompt injection, sensitive data, evaluating AI answers on a test set.
You build: AI Application Quality Audit
Solution Skills, Capstone Demo and Interview Prep3 h
Customer discovery, requirements, solution proposals, demos and handover, resume, GitHub and LinkedIn polish.
You build: Customer Implementation Challenge and capstone demo
Tools and technologies you use
You build what businesses actually buy
Here is the kind of system you build in Months 2 and 3: a customer messages on WhatsApp, an AI agent answers, records the lead and alerts the owner. Every step is logged and testable.
10:02:11 tool_call calendar.check("10:00")
10:02:12 result slot_free = true
10:02:12 approval not needed (low risk)
10:02:13 tool_call calendar.book("10:00")
10:02:13 tool_call crm.save_lead(name, phone)
10:02:14 tool_call notify.owner(lead_id)
10:02:14 message_out "Booked for 10 am. See you then!"
10:02:14 done 2.9s, cost logged
Months 4 to 6: work on real projects at Botkovai
Botkovai is our AI agent company. Interns build agents and automation on approved projects, reviewed by a senior engineer, and earn a stipend during the internship.
Monthly stipend range
Rises as your responsibility grows. Reviewed every month.
What interns do
- Create and test AI agents with tool calling and approved integrations
- Build Python backend features and API integrations
- Work with databases, CRM workflows and automation tools
- Add logging, human approval and failure handling to agents
- Join code reviews, a weekly 2-hour mentor clinic and monthly demo days
How you get selected
The selection gate is in week 13. It looks at project completion, code quality, debugging, communication and attendance. If a Botkovai internship can't be offered, we arrange an equivalent supervised project on the same schedule and we won't call it a Botkovai internship.
How this differs from a certificate-only course
| What matters | Typical certificate-only course | Appin AI Agent & Automation Engineer |
|---|---|---|
| Hands-on projects | A few guided exercises | 7 portfolio projects and a deployed capstone |
| Real client-style work | Rarely | Months 4 to 6 on approved Botkovai projects |
| Stipend | Usually none | Stipend during the internship, confirmed in writing |
| Agents, RAG, MCP, WhatsApp, CRM | Often theory or demos only | Built, tested, logged and deployed |
| Interview support | Resume tips at best | Mock interviews, GitHub and LinkedIn polish, application support from Month 5 |
| Mentoring | Large batches | Batches of 20, weekly mentor clinics and a scorecard at every stage |
Where it can take you
The program prepares you for entry-level roles such as:
The track builds toward Forward Deployed Engineer roles: engineers who work directly with customers to deliver working solutions. Outcomes depend on your performance, employer requirements and available opportunities.
How you are assessed
Complete the program with 70% overall and a successful capstone demo.
Inside our classroom
Four steps to your seat
You see the training and meet the trainers before you pay anything.
Apply for the workshop
Fill the 30-second form. It's free.
Attend for 90 minutes
Build your first AI agent with a trainer beside you.
Talk to a counsellor
Get your questions answered, including the fee and batch timings.
Aptitude test and interview
A short test and conversation. Then book your seat in a batch of 20.
For 6 months: 3 months of training and a 3-month internship opportunity. Payment options and the seat-booking amount are explained by your counsellor.
What your fee covers
- 110 trainer-led hours, with any missed session made up
- 7 portfolio projects and a deployed capstone
- Botkovai internship opportunity with stipend
- Mock interviews and application support
- GitHub and LinkedIn portfolio polish
- Completion and internship certificates*
*Completion certificate needs 70% overall and a successful capstone demo. Internship letter is given on completing the internship.
Who can apply
Graduates, final-year students, diploma holders and career switchers with strong logic and a willingness to practise 2 to 3 hours a day. No prior coding is needed. Not from a computer science background? You can still join if you clear the aptitude test and finish the Week 0 pack.
Questions before you apply
Is the workshop really free?
Yes. Attending costs nothing. If you like it, a counsellor explains the course fee and payment options. You decide after you've seen the training.
Is the stipend guaranteed for every student?
No. The stipend applies to students selected at the Month 3 gate, and the amount depends on role and performance. It is confirmed in writing before the internship starts. If a Botkovai internship can't be offered, an equivalent supervised project is arranged instead.
Is placement guaranteed?
No program can honestly guarantee a job. You get the skills, a deployed portfolio, three months of project experience, mock interviews and application support. Outcomes depend on your performance and available opportunities.
I'm not from a computer science background. Can I join?
Yes, if you clear the aptitude test and interview and complete the Week 0 Foundation Pack. The program starts from Python basics.
If AI can write code, why learn to code?
Employers want people who can direct AI tools, check their output, connect agents to real systems and deploy them safely. Module 1 teaches AI-assisted coding from day one, with the habits that make it reliable.
How much time do I need outside class?
About 2 to 3 hours of daily practice in Months 1 to 3. The internship is supervised project work, with hours confirmed in writing.
What do I receive at the end?
A completion certificate (70% overall and a successful capstone demo), an internship letter for completed internships, a GitHub portfolio, a deployed capstone and reviewer feedback.
What are the batch timings and mode of classes?
Classes are in person at Appin Technology, Coimbatore. Batch timings are confirmed at enrolment, and you can ask your counsellor about your schedule.
Your next 90 minutes could change your next 6 months.
Come to a free workshop, build your first AI agent and decide for yourself. Seats are limited to 20 per batch.
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