Build Autonomous AI Agents with Vibe Coding

Make your course outcome-driven and stand apart in the AI education space.

Personalized attention

Expert advice

Clear roadmaps

Safe, judgment-free

Actionable next steps

16-Week Course “Zero to Agent AI Engineer”

About this course

“Build Autonomous AI Agents with Vibe Coding” is a cutting-edge course designed to equip you with the skills to design, develop, and deploy intelligent agents that can think, reason, and act independently. Whether you're a developer, data scientist, or AI enthusiast, this course takes you deep into the core of autonomous systems using real-world tools, projects, and modern coding frameworks.

What You'll Learn

Foundations of Agent Architecture (Reflex, Goal-Based, Utility, Learning Agents)
Autonomous Decision-Making with Search, Planning, and Reinforcement Learning
Multi-Agent Collaboration and communication protocols
Building Autonomous Workflows for research, writing, trading, coding, and more
Hands-on with Vibe Coding's agent SDKs, frameworks, and AI APIs

Tools & Tech You'll Use

Python, LangChain, OpenAI API, Pinecone, FAISS
Agent SDKs (Auto-GPT, BabyAGI-style architectures)
Real-world deployment using Vibe Coding’s cloud or local runtime

Projects You'll Build

Task-executing Research Agent
Automated Data Pipeline Agent
Chat-Based Personal Assistant
Market Analysis Agent
Multi-Agent Workflow Orchestration System

16-Week Course: “Zero to Agent AI Engineer”

Phase 1 Python Programming & CS Foundations (Weeks 1–4)

Goal: Build strong programming skills with hands-on projects.

  Python basics: variables, control flow, loops, functions
  Object-Oriented Programming
  Data structures: lists, dicts, sets, tuples
  File handling, error management, API calls (Requests)
  Modules, packages, virtual environments
  Project: File converter, Note-taking app, Weather API app

Outcome: Ready for backend Python roles + foundation for automation

Phase 2 Core Software Skills (Weeks 5–6)

Goal: Cover CS + dev skills often asked in tech jobs.

  Version control with Git/GitHub
  Intro to databases: SQLite + PostgreSQL
  JSON, CSV, XML handling
  Unit testing in Python
  Python for automation (scripting, cron, schedulers)
  Project: Build a mini-CRUD app with SQLite

Outcome: Can apply for Python dev, automation jobs, backend roles

Phase 3 AI, LLMs & Prompt Engineering (Weeks 7–8)

Goal: Understand LLMs, OpenAI tools, and core prompt design.

  What is a language model? Understanding tokens, context, temperature
  OpenAI GPT APIs: chat, completion, function calling
  Prompt design: few-shot, zero-shot, role prompts, constraints
  Embeddings and vector databases
  Project: Build a Resume Analyzer bot using GPT + vector search

Outcome: Can apply for prompt engineering, AI support, RAG system jobs

Phase 4 LangChain / CrewAI + Tooling (Weeks 9–11)

Goal: Build powerful agent workflows with memory and tools.

  LangChain: chains, tools, agents, memory
  CrewAI / AutoGen: building multi-agent workflows
  Custom tools: web search, file reader, PDF/Q&A, email sender
  Memory systems: FAISS/Chroma with LangChain
  Project: Multi-agent startup advisor (CEO + researcher + content writer)

Outcome: Can work as AI automation engineer / agent developer

Phase 5 UI + Deployment (Weeks 12–13)

Goal: Learn how to ship AI projects as usable web apps.

  Build frontends using Streamlit / Gradio
  APIs with FastAPI (bonus)
  Deploy to Vercel / Hugging Face Spaces / Streamlit Cloud
  Store logs, allow user inputs
  Project: Build a full-stack AI-powered productivity agent

Outcome: Can freelance or productize projects, show on portfolio

Phase 6 Career Tracks + Capstone (Weeks 14–16)

Goal: Specialize, finalize capstone, and prep for jobs.

Week 14: Specialization Choices (choose 1 or explore all):

  Agent for Testing: Build a test automation assistant
  Agent for Marketing: Campaign planner + post generator
  Agent for Operations: Email + spreadsheet automation
  Agent for Education: Study planner / mentor bot

Week 15:

  Resume, portfolio, GitHub prep
  Mock interviews (technical + project-based)
  Freelancing basics: Upwork, Fiverr, building your own brand

Week 15:

  Demo Day: Students present their capstone agent live
  Feedback, Q&A, certificates
  Job referrals / internal hiring pipeline (if available)

  Add-Ons (Highly Recommended)

Optional Weekly
Labs

Focused sessions on solving real-world agent challenges

AI Project
Reviews

1:1 review for each project before submission

Discord “Accountability Pods”

Peer groups to collaborate and motivate

  Enriched 16-Week Curriculum with Projects

Weeks 1–4 Python Foundations + CS Essentials

Mini-Projects:

  File Organizer: Sorts files into folders by extension

  Weather App: Fetch weather using a public API

  To-Do App (CLI): Add, update, delete tasks

  CSV Report Generator: Parses CSV and outputs formatted reports.


Assignments:

  Write 5 custom functions (loop, condition, dict).

  Solve 10 HackerRank-style Python questions.

  Build a Python script that parses text files and counts word frequency.


Case Study:

Airtel uses automation scripts for reporting KPIs. Simulate a weekly sales report parser using mock data.

Outcome: Thinking like a Python Automation Engineer

Weeks 5-6 Software Dev + Backend Skills

Mini-Projects:

  SQLite CRUD App: Contacts or Expense Tracker

  API Request Tool: Take user input, hit an external API, show results

  Python Unit Testing Suite: For a mini calculator class


Assignments:

  Use Git to push 2 projects to GitHub

  Connect a Python app to PostgreSQL and insert sample data.

Debug and fix a broken script (provided).


Case Study:

A startup wants to automate email and Slack notifications based on database changes. Build a trigger-based simulation.

Weeks 7-8 LLMs, GPT, Prompt Engineering

Mini-Projects:

  GPT Personality Bot: Custom assistant with a tone (e.g., “Strict mentor”, “Friendly coach”)

  Resume Reviewer Bot: Upload resume, get feedback using GPT + system prompts

  Book Summarizer: Paste text, get summary, questions, and rating


Assignments:

  Create 5 different prompts for the same task using various techniques.

  Use GPT API to build a chatbot with 3 functions (Q&A, summarize, translate).


Case Study:

An EdTech firm wants an AI tutor bot that answers in 5th-grade language. Design the prompt, test it with 3 topics.

Weeks 9–11 LangChain + Agent Systems

Mini-Projects:

  Memory Agent: Remembers past conversations and facts

  Search Agent: Integrates SerpAPI or DuckDuckGo + summarizer

  PDF QA Bot: Upload a PDF, ask questions (FAISS + LangChain)

  Two-Agent System: CEO + Researcher Agents with a shared task


Assignments:

  Build an agent that uses a tool + memory + error handling.

  Modify an existing chain to add new tools and control flow.

  Host and test your LangChain agent locally.


Case Study:

A startup founder wants an AI Product Manager agent that can read market news and suggest product features weekly. .

Weeks 12–13 UI + Deployment

Mini-Projects:

  Streamlit UI Agent: Wrap an existing agent with a form-based UI

  Auto Deploy: Push to GitHub and deploy to Vercel or Hugging Face Spaces

  Build an Agent Landing Page: Showcase your agent like a real product


Assignments:

  Add basic UX to your bot (button, input box, download feature).

  Log all user prompts and bot responses for review.

  Record a 2-minute demo video of your project


Case Study:

A productivity app startup wants to embed an AI assistant in their dashboard. Design the front-end + backend API flow.

Weeks 14–16 Capstone + Career Prep

Mini-Projects:

  Content AI Agent: Writes blog posts, social media captions, SEO analysis

  AI Career Coach: Helps users decide career path, suggest learning plans

  Startup Launch Assistant: Business plan generator, competitor research, pitch writing

  Daily Planner Bot: Pulls from calendar, email, and creates daily task list


Assignments:

  Resume with AI project section.

  GitHub portfolio setup with readme for each project.

  Mock interview session on your project.


Case Study (Final):

You are hired by a client to build an “AI Concierge” for their travel business. Design agent workflows, tools, deployment.

  Optional Add-On : Student Portfolio Tracker

Track project progress

Add GitHub links

Log what they learned

Mark job readiness status