How to become the go-to AI Engineer—build a strong profile that generates opportunities.
100 days AI challenge
7 Days Getting Started Challenge
<aside> [Module - 1]
Duration: 20 Hours
1.1.1 - [Hands-On] Functions & Higher Order Functions
1.1.2 - [Hands-On] Modules, Packages, Library & Framework
1.1.3 - [Hands-On] OOPs [Object Oriented Programming]
1.1.4 - [Hands-On] Data Structures & Algorithms
1.1.5 - [Hands-On] Data Manipulation [NumPy & Pandas]
1.2.3 - Statistics & Probability
1.3.2 - AI vs ML vs DL vs GenAI vs LLM vs ChatGPT
1.3.3 - LLM Ecosystem - ChatGPT, Grok, HuggingFace
1.3.4 - AI Market Analysis & Career Opportunity
1.4.1 - All you need to know about Machine Learning
1.4.2 - [Hands-On] Building a Classification Model
1.4.3 - [Hands-On] Building Multiple Linear Regression model
1.4.4 - When to use Which ML Algorithm?
1.5.1 - [Hands-On] Building Your First Neural Network
1.5.2 - [Hands-On] Activation Functions from Scratch
1.5.3 - Drawbacks in RNN, CNN, LSTM architecture
[The Project Lab - 01] AI-powered Resume Analyzer using Python, Flask & NLP
[Project Showcase] - Show your project publicly [Community/YouTube/GitHub]
Technical Interview Practice Questions
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