AI Engineer Roadmap in 2024 | How to start Learning AI
In this video series of roadmaps we will be going over one of the most desirable role for companies these days which is AI ENGINEER.
An AI Engineer is a skilled individual specializing in crafting, creating, and implementing AI-driven solutions, algorithms, and software applications. Their role revolves around constructing systems capable of emulating human intelligence, encompassing tasks like speech recognition, predictive analysis, decision-making, and problem-solving. Within their domain, AI Engineers delve into various fields including computer vision, machine learning, natural language processing, robotics, and autonomous systems. Proficiency in mathematics, computer science, and software engineering is crucial for this role, along with practical expertise in AI programming tools and libraries.
Course Timeline
00:00 Introduction
00:50 AI Pre-Requisites
05:01 Hardware Requirements
06:17 AI Software
07:45 Exploratory Data Analysis
08:41 AI API's
09:30 AI Datasets
10:37 AI Databases
11:51 Machine Learning
12:41 Deep Learning
14:07 OpenSource AI Projects
Below are the links for the resources used in this video
1a: Maths:
• Math for Machine Learning
https://www.coursera.org/learn/algebr...
https://www.coursera.org/learn/stanfo...
1b: DS and ALgorithms:
https://leetcode.com/explore/learn/
• Harvard CS50’s Artificial Intelligenc...
3a- Hardware Requirements/ cloud solutions
https://deepnote.com/
https://kaggle.com/
https://hex.tech/
https://noteable.io/
https://colab.research.google.com/
4: EDA
https://www.coursera.org/projects/exp...
https://www.coursera.org/learn/ibm-ex...
5: Datasets
https://www.kaggle.com/
https://archive.ics.uci.edu/
https://datasetsearch.research.google...
6:ML
https://www.coursera.org/specializati...
7: Deep Learning
https://www.deeplearningbook.org/
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