AI Agent Builder: From Beginner to Pro
The flagship skill-building course of Skillo. Learn to design, build, and deploy AI agents and automation workflows using industry-relevant tools — from no-code platforms like n8n to LangChain-powered multi-agent systems. Students gain practical AI engineering skills they can apply to university projects, personal experiments, employment, startups, or freelancing — depending on their goals, practice, and effort. This is a skills course, not an income or job guarantee.
- Free counselling first
- Installment support
- Seat confirmed only after payment
your first thing to show
Duration
12 weeks
Schedule
3 classes/week × 2 hours
Batch size
Max 20 students
Language
Bangla + English
Instructor
Minhaj Sadik
Introduction
Course overview
AI Agent Builder: From Beginner to Pro is a 12-week live skill-building course by Skillo Academy for students and beginners in Bangladesh who want practical AI automation skills — n8n workflows, APIs, webhooks, RAG, WhatsApp AI agents, voice AI agents, and portfolio projects they can apply to education, personal work, employment, startups, or freelancing depending on their goals and effort.
Who This Course Is For
- Students and beginners who want a practical AI course in Bangladesh without starting from heavy coding.
- University learners who want an academic and career advantage through modern AI agent skills and portfolio demos.
- Junior developers, career switchers, and curious builders who want industry-relevant automation skills for projects and future opportunities.
What Students Learn
- AI agent fundamentals, prompt engineering, API usage, webhooks, JSON, and workflow logic.
- n8n, Make, Zapier, Airtable, Google Sheets, WhatsApp, Telegram, OpenAI, Claude, Gemini, LangChain, LangGraph, RAG, and vector database concepts.
- How to document demos, present portfolio projects, and communicate automation work clearly — skills useful for studies, jobs, startups, or optional freelancing.
Projects Students Build
- Restaurant WhatsApp booking bot for reservations, menu questions, and confirmations.
- Clinic appointment AI agent for booking, reminders, and patient FAQ handling.
- Lead qualification workflow that captures, scores, and routes business leads automatically.
Requirements And Support
Students should be comfortable using a computer, reading basic English documentation, and practicing consistently. Classes are mentor-led in Bangla + English with WhatsApp support and portfolio guidance. Results after the course depend on dedication, practice, communication, and market demand.
Income Disclaimer
Skillo Academy does not guarantee freelancing income, job placement, or fixed earnings. We provide practical training, projects, portfolio guidance, and career support. Student results depend on practice, communication, consistency, market demand, and individual effort.
Inside the batch
What's included
- 12-week structured program with live classes
- Build real AI agents for real business use cases
- No-code to pro-code: n8n → LangChain
- RAG pipelines with vector databases
- WhatsApp & voice AI agent deployment
- Portfolio demos, documentation & presentation skills
- Capstone: ship a portfolio-ready automation project
- Certificate of completion
Decide with open eyes
Pros and cons (সুবিধা ও বিবেচ্য বিষয়)
কেন এই কোর্সে ভর্তি হবেন (Advantages)
- কোনো কোডিং জানতে হবে না — n8n-এর ভিজ্যুয়াল ওয়ার্কফ্লো একদম নতুনদের জন্য তৈরি
- শিক্ষার্থী জীবনে এগিয়ে থাকার সুযোগ — প্রজেক্ট, অ্যাসাইনমেন্ট ও ইন্টারভিউতে দেখানোর মতো প্র্যাকটিক্যাল AI স্কিল
- ইন্ডাস্ট্রি-রিলেভেন্ট টুলস: n8n, APIs, RAG, WhatsApp agents, multi-agent concepts
- একই স্কিল পরে চাকরি, স্টার্টআপ, পার্সোনাল প্রজেক্ট বা ফ্রিল্যান্সিংয়ে প্রয়োগ করা যায় — পথটি শিক্ষার্থীর লক্ষ্য ও প্রচেষ্টার উপর নির্ভর করে
- পোর্টফোলিও-ফোকাসড ক্যাপস্টোন — কাজ করে এমন ডেমো ও কেস স্টাডি তৈরির অনুশীলন
- আরও এগিয়ে যেতে চাইলে সরাসরি Agentic Python কোর্সে যাওয়ার সুযোগ আছে
- Flagship কোর্স — সবচেয়ে বেশি ইন্সট্রাক্টর মনোযোগ ও কমিউনিটি সাপোর্ট
ভর্তির আগে যা জেনে রাখবেন (Things to Know First)
- শেখার সময় OpenAI/Claude API-তে প্রতি মাসে ~$৫–১৫ খরচ হবে — ছোট চলমান বাজেট রাখতে হবে
- স্কিলো কোনো চাকরি, ক্লায়েন্ট বা আয়ের গ্যারান্টি দেয় না — সাফল্য নির্ভর করে অনুশীলন, পোর্টফোলিও, যোগাযোগ ও বাজারের চাহিদার উপর
- ফ্রিল্যান্সিং একটি সম্ভাব্য পথ মাত্র — এটি কোর্সের মূল প্রতিশ্রুতি নয়; আলাদা প্রচেষ্টা ও ধৈর্য লাগে
- ঐতিহ্যগত "সফটওয়্যার ডেভেলপার" পদ নয় — স্থানীয় চাকরির বাজারে এই রোল এখনও গড়ে উঠছে
Where it leads
Career paths
- Stronger student projects, research demos & academic advantage
- Junior AI / automation roles at startups and IT firms (competitive)
- Optional freelancing path — if you build a portfolio and pursue clients
- Startup experiments, personal products & SME automation projects
After learning
Possible paths after learning | শেখার পর সম্ভাব্য পথ
These are possible directions, not guarantees. Your results depend on practice, portfolio, communication, consistency, and market demand.
AI Automation / Workflow Associate
IT firms, SaaS startups, and ops teams exploring automation
Market-dependent
Treat this as a competitive path, not a placement promise. A clear demo video, documented workflow, and consistent practice matter more than a certificate alone.
AI Implementation / Solutions Support
Agencies and product teams that integrate AI tools for clients
Role & experience dependent
Publish one public walkthrough of a real business use case. Hiring outcomes vary widely by English, communication, location, and experience.
In-House Automation Support
Growing local businesses and e-commerce operations teams
Varies by company
Internal roles often value reliability and process understanding. Use your capstone to show how you solve a specific operational problem — not as an earnings claim.
Module by module
Curriculum
12 modules01Week 1: AI & LLM Fundamentals4 lessons
- 01ChatGPT, Claude, Gemini, DeepSeek — comparedPreview
- 02Prompt engineering fundamentalsPreview
- 03OpenAI API setup & cost economics
- 04Understanding tokens, context windows & pricing
02Week 2: APIs, Webhooks & JSON4 lessons
- 01REST APIs — the language of automation
- 02Webhooks & event-driven patterns
- 03JSON data structures & manipulation
- 04Hands-on API testing with Postman
03Week 3: n8n Core Workflows4 lessons
- 01Triggers, nodes & expressions
- 02Gmail → Google Sheets automation
- 03RSS → Telegram bot
- 04Form → Airtable pipeline
04Week 4: Function Calling & Tool Use4 lessons
- 01Function calling deep dive
- 02Building your first single-tool AI agent
- 03Structured output with JSON mode
- 04Error handling in AI workflows
05Week 5: Multi-Tool AI Agents4 lessons
- 01Calendar, Gmail, Sheets & Web Search agents
- 02Memory: window buffer + long-term (Supabase)
- 03Chaining multiple tools in a single agent
- 04Testing & debugging agent workflows
06Week 6: RAG — Retrieval-Augmented Generation4 lessons
- 01Embeddings & vector databases (Pinecone)
- 02"Chat with your docs" bot — end to end
- 03Chunking strategies & retrieval quality
- 04Hybrid search & reranking
07Week 7: WhatsApp & Voice AI Agents4 lessons
- 01WhatsApp Business API integration
- 02Telegram AI agent deployment
- 03Voice agents with Retell AI / ElevenLabs
- 04Multi-channel bot architecture
08Week 8: Multi-Agent Systems4 lessons
- 01LangGraph "Think" node & agent teams
- 02Supervisor & worker agent patterns
- 03Model Context Protocol (MCP) intro
- 04Debugging multi-agent workflows
09Week 9: Real-World Business Agents4 lessons
- 01Lead-generation bot for businesses
- 02Customer-support AI agent
- 03Content repurposing automation
- 04Data extraction & reporting agents
10Week 10: Packaging Your Skills Professionally4 lessons
- 01How automation work is typically scoped & documented
- 02Service package templates & handoff notes (optional path)
- 03Reliability, support expectations & ethical delivery
- 04Self-hosting basics with n8n for learning & demos
11Week 11: Opportunity Channels & Communication4 lessons
- 01Presenting your work: demos, case studies & LinkedIn
- 02Optional freelancing profile basics (no income promise)
- 03Clear proposals, honest scoping & professional communication
- 04Personal site / portfolio page for your projects
12Week 12: Capstone Project4 lessons
- 01Ship a portfolio-ready business automation project
- 02Document 3 case studies with demos and learnings
- 03Final presentation & peer review
- 04Certificate ceremony & realistic next-step guidance
Your toolkit
Tools and technologies
- n8n
- Make.com
- Zapier
- OpenAI / Claude / Gemini APIs
- LangChain / LangGraph
- Pinecone / Supabase (vector DB)
- Airtable & Google Sheets
- WhatsApp / Telegram integrations
- Retell AI / ElevenLabs (voice)
- Cursor & Lovable
Is it for you
Who is this for?
University students, CS graduates, junior developers, career switchers, and curious beginners aged 18–35 who want practical AI agent and automation skills for studies, projects, and long-term career advantage.
Before you start
Prerequisites
- Basic computer literacy
- Comfort with English documentation
- ChatGPT familiarity
Our promise
Student support promise | আপনার শেখার পাশে আমরা
- Live classes + personal mentor feedback | লাইভ ক্লাস + ব্যক্তিগত ফিডব্যাক
- Project-based portfolio outcomes | প্রজেক্ট দিয়ে portfolio তৈরি
- WhatsApp support from query to enrollment | প্রশ্ন থেকে ভর্তি পর্যন্ত WhatsApp সহায়তা
Before you ask
Common questions | সাধারণ প্রশ্ন
What is an AI Agent?
An AI agent is a software workflow that can use AI models, tools, memory, APIs, and business rules to complete tasks such as answering customers, booking appointments, qualifying leads, or preparing reports.
Can I build AI agents without coding?
Yes. This course starts with low-code and no-code workflow tools like n8n, then gradually introduces APIs, structured data, and advanced agent concepts so beginners can build useful automations step by step.
Is this a freelancing or income-guarantee course?
No. This is a skill-building course. Freelancing is one optional path after you learn the skills — alongside studies, jobs, startups, and personal projects. Skillo does not guarantee clients, jobs, or earnings. Results depend on practice, portfolio quality, communication, consistency, and market demand.
What is RAG?
RAG means retrieval-augmented generation. It lets an AI system answer using your own documents, knowledge base, or data instead of relying only on the model’s general training.
AI Agent Builder vs Full Stack Development - which should I learn first?
Choose AI Agent Builder first if you want practical automation and AI agent skills with a low-code start. Choose Full Stack Development first if you want stronger coding foundations to build complete websites, apps, SaaS products, and APIs. Both can support career growth; neither guarantees income.
Your mentor
About your instructor | আপনার মেন্টর
Minhaj Sadik is a senior backend & DevOps engineer from Sylhet, Bangladesh, and the founder of Skillo Academy. He has built distributed systems serving 50,000+ daily users, led cloud-cost-optimization migrations that cut bills 60–75%, and ships production AI agent platforms. He teaches in Bangla and English with a focus on real, ship-ready projects — not theory.
Why Students Join This Batch | কেন শিক্ষার্থীরা এই ব্যাচে ভর্তি হয়
- - Max 20 students for focused mentorship
- - Weekly mentor feedback | সাপ্তাহিক মেন্টর ফিডব্যাক
- - Installment support available | কিস্তি সুবিধা রয়েছে
- Duration
- 12 weeks
- Batch size
- Max 20 students
- Level
- Beginner
- Language
- Bangla + English
- Instructor
- Minhaj Sadik