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AI Launchpad: Build Your Job-Ready Portfolio with 20 Real Projects

5.0
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20 modules

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242 lessons

Build. Showcase. Get Hired — 20 Industry-Level AI Projects, One Career-Defining Portfolio.

Your Instructors

Instructor profile photo
Instructor profile photo
Instructor profile photo

Nishchal Gaba

AI Agents, Blockchain, and Autonomous System Architect | Turning Research into Scalable Products

Course Overview

AI Launchpad: Build Your Job-Ready Portfolio in 20 Real Projects 🚀

Welcome to Voyex AI Launchpad, your ultimate gateway to mastering AI through 20 industry-grade, hands-on projects designed to supercharge your resume, boost your confidence, and unlock high-paying AI roles.

Whether you're a student aiming for top internships, a professional eyeing promotions, or someone trying to break into AI with confidence, this course will give you the tools, code, systems, and credibility to stand out in a crowded market.

👨‍💻 What's Inside?

  • 20 real-world projects across domains like finance, healthcare, e-commerce, entertainment, smart cities, and automation.
  • Production-ready code templates (GitHub style) + Streamlit demos for showcasing.
  • Job-ready resume bullets, system design diagrams, project reports & certificates.
  • 6-month extended support + new projects every quarter.
  • Dual environments: Works with both Google Colab and VSCode.
  • Execution Forum for doubt-solving and technical support.

📈 Skills You Will Learn

  • Exploratory Data Analysis (EDA)
  • Machine Learning & Deep Learning
  • LLM Integration & Agentic AI
  • Model Quantization for Edge Deployment
  • AI Workflow Orchestration (LangChain, RAG, Hugging Face)
  • Browser Automation using AI
  • UI & Deployment Tools (Streamlit, FastAPI, Docker)

🔐 Why Voyex?

  • Award-winning instructors with 12+ years of experience
  • Recognized with National AI Agent Awards
  • Trained 1000+ students from 150+ colleges
  • Affiliate reward pipeline & career-altering incentives
  • Python-only prerequisite, everything else included

No more watching endless tutorials. Build actual AI products, get resume-worthy output, and become interview-ready from Day 1.

✅ Get certified. 💼 Get hired. 🚀 Get promoted.


📦 Everything You Get

  • ✅ GitHub-ready code & live Streamlit demos
  • ✅ Resume templates + project reports + 20 interview prep questions/project
  • ✅ Detailed system architecture diagrams
  • ✅ 6-month support + execution community
  • ✅ Certification + ongoing updates
  • ✅ Affiliate & referral rewards

What you'll get out of this course

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Master 20 real-world AI & Data projects with end-to-end pipelines.

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Learn to build production-ready systems using modern tools like Streamlit, LangChain, Hugging Face, Colab, and VSCode.

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Develop portfolio-ready GitHub repositories, system architecture diagrams, and resume bullet points.

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Get comfortable with real-world problem solving in AI: healthcare, e-commerce, finance, smart cities, automation, and more.

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Understand industry trends via research papers, documentation, and supporting reports.

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Be interview-ready with 20+ FAQs per project, resume-compatible project reports, and guided templates.

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Receive support for 6 months, plus two new projects each month to stay ahead in AI.

Course content

1

E-Commerce Recommendation System

13 items

13 lectures
2

Urban Sound Classification using Deep Learning

13 items

13 lectures
3

Tourism & Hotel Booking Trends

9 items

9 lectures
4

NYC Taxi Trip Data Analytics

13 items

13 lectures
5

Crime Pattern Analysis in Major Cities: Chicago

13 items

13 lectures
6

Crop Prediction

10 items

10 lectures
7

Quantization of models for Edge device deployment

12 items

12 lectures
8

Real-Time Vehicle Detection, ,Tracking & Counting System

12 items

12 lectures
9

Electricity Demand Forecasting System

13 items

13 lectures
10

Image to Parallax

12 items

12 lectures
11

Real-Time Sign Language Detection and Translation

12 items

12 lectures
12

MCP Server Agentic AI

13 items

13 lectures
13

Stock Price Prediction Models

12 items

12 lectures
14

Heart Disease Prediction

13 items

13 lectures
15

AI Music Mood Classifier

13 items

13 lectures
16

Amazon Reviews Analytics Dashboard

12 items

12 lectures
17

Calendar AI Assistant

12 items

12 lectures
18

AI Browser Automation for ordering items on Amazon

11 items

11 lectures
19

RAG Chatbot on Knowledge Graphs

12 items

12 lectures
20

Hugging Face Model Deployment and Fine-Tuning

12 items

12 lectures
5.0

Hear From Other Students

“This course gave me a complete portfolio in months, not years. My GitHub profile finally looks hire-ready.”
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Arjun S.

ML Engineer

“The project variety is insane — finance, healthcare, automation. It gave me talking points for every interview.”
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Maya K.

Data Analyst

“I landed my internship after showing 3 of my Launchpad projects in interviews. Recruiters loved the demos!”
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Rohit P

Student

Your Instructors

Nishchal Gaba profile photo

Nishchal Gaba

AI Agents, Blockchain, and Autonomous System Architect | Turning Research into Scalable Products

CTO | AI Agents & Web3 Execution Expert | DeepTech Researcher
🌐 https://www.nishgaba.com/

"Great leaders know one thing: they don’t know everything."
"I speak math, probability, and occasional human languages."


🔍 About

Nishchal Gaba is a versatile deep-tech leader with 12+ years of experience in AI, Web3, and scalable software systems. As the CTO of multiple companies including Prodigal AI, ZeeQ, and Peer2Play, he has driven innovation across real-time AI agents, blockchain infrastructure, and production-grade automation platforms.

He holds an M.Sc. in Artificial Intelligence from the University of Edinburgh and has mentored thousands of students globally through Kaggle and executive education programs.


🧪 Core Expertise

  • AI/ML: LangChain, PyTorch, TensorFlow, Whisper, Gemini Pro
  • Agents & Orchestration: Pydantic AI Agents, Airflow, RAG pipelines
  • Blockchain: Hardhat, Solidity, Uniswap V3, DAO contracts, Tokenization
  • Web & Backend: Go (Gin), Flask, React, GraphQL, Microservices
  • Edge Devices: Jetson Nano, Raspberry Pi, Movidius TPU
  • Cloud & DevOps: Docker, Kubernetes, Terraform, CI/CD, AWS, GCP, Azure

🧰 Selected Projects

🔹 Multi-Agent Automation System

A fully orchestrated framework for AI-generated blogs, videos, and series via LangChain agents.

🔹 AI Browser Automation

Agents that purchase items on Amazon autonomously using OpenAI, LangChain, and Selenium.

🔹 Real-Time Sign Language Detection

Deployed ASL/ISL recognition on edge hardware using CNN-based gesture classifiers.

🔹 Web3 Gaming Studio

Built an MPC wallet and custom EVM smart contracts for decentralized games.

🔹 On-Chain Risk Engine

Developed DeFi protocol analyzers for Aave/Curve using live blockchain data.


🏆 Awards & Recognition

  • 🥇 National AI Merit Award 2024 — Multi-Agent System Research
  • 🎓 Scholarship for Higher Education (SHE) — Top 1% in Science, India
  • 🏅 Contribution Award — GGSIPU, presented by Delhi CM Atishi

📚 Featured Publications

  • Uniswap V3 Technical Analysis
  • CNN Structural Optimizations – Springer
  • Synthetic COVID-19 X-ray Data Generation via Stable Diffusion
  • Generative AI for Real-Time Cloud Analytics — ResearchGate

📍 Past Roles

  • CTO, Prodigal AI – Autonomous Agent Infrastructure (2021–2025)
  • CTO, ZeeQ – Cloud Data Threat Detection (2022–2023)
  • CTO, Unreal AI – Facial Recognition and Edge AI (2018–2021)
  • Tech Lead, Credmark (US) – On-chain DeFi Risk Analysis (2021–2022)
  • Committee Member, CII – Technology Innovation for India (2022–2025)
  • Entrepreneur, Antler Singapore – ML Hackathon & Dockship Batch (2021)

🎓 Education

  • 🎓 M.Sc., Artificial IntelligenceUniversity of Edinburgh, Scotland (2016–2017)
  • 🎓 B.Tech, Computer ScienceGGSIPU, Delhi (2012–2016)

💡 Philosophy

“Build with clarity. Mentor with empathy.
Innovate like an engineer. Think like a scientist.”

Ashwini Nagargoje profile photo

Ashwini Nagargoje

Full Stack Developer | Blockchain & AI Agents

Lead Full-Stack Developer @ ProdigalAI

MERN • Blockchain • AI Agents • Cloud
🌐 GitHub | Portfolio
“Code is my craft, scalability is my standard.”


🔍 About

Full Stack Developer with 4+ years of experience in the MERN stack, now expanding into Blockchain and AI Agents.
I build end-to-end solutions that combine modern web technologies, decentralized apps, and intelligent automation—ensuring they are scalable, secure, and production-ready.


🧪 Core Expertise

  • Frontend: React, Next.js, TypeScript, Tailwind, Responsive UI
  • Backend: Node.js, Express.js, REST APIs, GraphQL, Python
  • Databases: MongoDB, PostgreSQL, Firebase, MySQL
  • Blockchain: Solidity, Hardhat, Web3.js, Smart Contracts, Tokenization
  • AI & Agents: LangChain, RAG pipelines, Automation Bots, Python ML
  • Cloud/DevOps: Git, Docker, Kubernetes, CI/CD, Netlify, Vercel, AWS, Heroku

📚 Learning & Growth

  • Advanced AI Agent Orchestration
  • DeFi protocols & Uniswap V3 Smart Contracts
  • Scaling MERN applications on cloud-native infrastructure

💡 Philosophy

Build with precision. Learn with curiosity.
Solve with creativity. Ship with speed.

Yashvardhan Goel profile photo

Yashvardhan Goel

Gen AI Developer

No additional information available about this instructor at the moment.

Frequently Asked Questions

❓ Is this course beginner-friendly?
❓ What kind of projects are included?
❓ Can I showcase these projects in my resume?
❓ What happens after I enroll?
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❓ Can I run these projects on my laptop?

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