Comprehensive AI Machine Learning Bootcamp_1

Comprehensive AI & Machine Learning Bootcamp, available at $89.99, has an average rating of 3.95, with 182 lectures, 4 quizzes, based on 493 reviews, and has 18203 subscribers.

You will learn about Create websites, build applications, create Artificial Intelligent learning programs that can recognize handwriting and learn while analyzing data. Will help you get a job as a Fullstack programmer or Artificial Intelligence data scientist. Build over 10 AI data analysis tools Image analysis, text analysis etc. This course is ideal for individuals who are Anyone who wants to learn fullstack in Python 3 and apply it to making AI immediately. If you are a Python 3 Expert, you will still gain knowledge from the 45 projects. or Python Developers who want to get started using Machine Learning in a realistic way using numerical or image data sets. or People who want to use APIs like Openai GPT4 will need to know python. or For Data Scientists who want to use python to analyze data, instead of 3rd party tools. It is particularly useful for Anyone who wants to learn fullstack in Python 3 and apply it to making AI immediately. If you are a Python 3 Expert, you will still gain knowledge from the 45 projects. or Python Developers who want to get started using Machine Learning in a realistic way using numerical or image data sets. or People who want to use APIs like Openai GPT4 will need to know python. or For Data Scientists who want to use python to analyze data, instead of 3rd party tools.

Enroll now: Comprehensive AI & Machine Learning Bootcamp

Summary

Title: Comprehensive AI & Machine Learning Bootcamp

Price: $89.99

Average Rating: 3.95

Number of Lectures: 182

Number of Quizzes: 4

Number of Published Lectures: 181

Number of Published Quizzes: 4

Number of Curriculum Items: 186

Number of Published Curriculum Objects: 185

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Create websites, build applications, create Artificial Intelligent learning programs that can recognize handwriting and learn while analyzing data.

Will help you get a job as a Fullstack programmer or Artificial Intelligence data scientist.

Build over 10 AI data analysis tools

Image analysis, text analysis etc.

Who Should Attend

Anyone who wants to learn fullstack in Python 3 and apply it to making AI immediately. If you are a Python 3 Expert, you will still gain knowledge from the 45 projects.

Python Developers who want to get started using Machine Learning in a realistic way using numerical or image data sets.

People who want to use APIs like Openai GPT4 will need to know python.

For Data Scientists who want to use python to analyze data, instead of 3rd party tools.

Target Audiences

Anyone who wants to learn fullstack in Python 3 and apply it to making AI immediately. If you are a Python 3 Expert, you will still gain knowledge from the 45 projects.

Python Developers who want to get started using Machine Learning in a realistic way using numerical or image data sets.

People who want to use APIs like Openai GPT4 will need to know python.

For Data Scientists who want to use python to analyze data, instead of 3rd party tools.

Led by GP, a distinguished AI researcher with 11 PubMed publications and a rich academic background from Cornell, UCSF, NIH, and Amherst College, this course spans the essentials of web development to the frontiers of AI technology. Dive into a learning experience with LIVE HELP available Monday to Friday, 9-5, plus additional online support.

Our curriculum is in constant evolution, tailored to your feedback and the dynamic landscape of machine learning and AI. This isn’t just another bootcamp; it’s a bridge from foundational HTML to pioneering in Python 3, Machine Learning, TensorFlow, and beyond into Artificial Intelligence and Recurrent Neural Networks.

Designed for rapid learning, we break down complex concepts into manageable steps. Starting from HTML and CSS to Bootstrap and JavaScript, and advancing through Python 3 to data science, machine learning, and AI, we cover ground rapidly but solidly.

Expect to delve into:

Frontend web technologies: HTML, CSS, Bootstrap, JavaScript, jQuery

Python programming essentials and advanced concepts

Data Science, including Machine Learning and AI with TensorFlow

Practical applications with projects in sentiment analysis, regression, clustering, and neural networks

An exploration of both traditional statistics and machine learning techniques

With over 170 lectures and 30+ hours of video content, this course is your most comprehensive guide to becoming a proficient Python developer and an AI specialist. You’ll get lifetime access to all materials, including lecture Notebooks.

This course is perfect for beginners with no prior programming experience, bootcamp graduates looking to tackle real-world projects, and intermediate Python programmers eager to master AI programming. With a 30-day money-back guarantee, there’s no risk in taking the leap. Transform your career with the skills to thrive in the era of AI.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Installing Python

Lecture 3: Installing Anaconda

Chapter 2: Setting Up Your Software

Lecture 1: Installing Chrome

Lecture 2: Installing Atom

Lecture 3: Installing Visual Code Studio

Chapter 3: HTML

Lecture 1: HTML Introduction

Lecture 2: HTML 2. Intro To HTML

Lecture 3: HTML 3. Headers and Paragraphs

Lecture 4: HTML 4. Divs and Spans

Lecture 5: HTML 5. List Types

Lecture 6: HTML 6. Attributes

Lecture 7: HTML 7. Tables

Lecture 8: HTML 8. Forms

Lecture 9: HTML 9. Form Legend

Lecture 10: HTML 10. Button Forms

Lecture 11: HTML 11. Quiz Exercise

Lecture 12: HTML 12. Quiz Exercise Solution

Chapter 4: CSS

Lecture 1: CSS Introduction

Lecture 2: CSS 2. Colors

Lecture 3: CSS 3. Backgrounds

Lecture 4: CSS 4. CSS id, classes

Lecture 5: CSS 5. CSS Specificity

Lecture 6: CSS 6. CSS Chrome Console

Lecture 7: CSS 7. CSS Web Fonts

Lecture 8: CSS 8. CSS Box Model

Chapter 5: Bootstrap

Lecture 1: Bootstrap Introduction

Lecture 2: Bootstrap 1. Intro to Bootstrap Part 1

Lecture 3: Bootstrap 1. Intro to Bootstrap Part 2

Lecture 4: Bootstrap 2. Bootstrap Forms

Lecture 5: Bootstrap 3. Bootstrap Navbar Part 1

Lecture 6: Bootstrap 3. Bootstrap Navbar Part 2

Lecture 7: Bootstrap 4. Grids

Lecture 8: Bootstrap 5. Test Project

Chapter 6: Javascript

Lecture 1: Intro to Javascript

Lecture 2: Javascript 2. JS Operators

Lecture 3: Javascript 3. JS to HTML Part 1

Lecture 4: Javascript 3. JS to HTML Part 2

Lecture 5: Javascript 4. JS Operators Part 1

Lecture 6: Javascript 4. JS Operators Part 2

Lecture 7: Javascript 5. JS Control Flow

Lecture 8: Javascript 6. JS While Loops

Lecture 9: Javascript 7. JS for Loops

Lecture 10: Javascript 8. JS Exercises

Lecture 11: Javascript 9. JS Exercise Solutions

Lecture 12: Javascript 10. Functions

Lecture 13: Javascript 11. Functions Exercises

Lecture 14: Javascript 12. Functions Solutions

Lecture 15: Javascript 13. Functions Arrays

Lecture 16: Javascript 14. Objects

Lecture 17: Javascript 15. Objects Exercises

Lecture 18: Javascript 16. Objects Exercises Solutions

Chapter 7: Document Object Model (DOM)

Lecture 1: DOM 1. Introduction to DOM

Lecture 2: DOM 2. DOM Console Part 1

Lecture 3: DOM 3. DOM Console Part 2

Lecture 4: DOM 4. Event Listeners

Lecture 5: DOM 5. Game Project

Chapter 8: jQuery

Lecture 1: jQuery 1. jQuery Introduction

Lecture 2: jQuery 2. jQuery Basics

Lecture 3: jQuery 3. jQuery Events

Lecture 4: jQuery 4. jQuery Project

Chapter 9: Intro to Python

Lecture 1: Python 1. Introduction

Lecture 2: Python 2. Python Numbers

Lecture 3: Python 3. Python strings

Lecture 4: Python 4. Python Lists

Lecture 5: Python 5. Dictionaries

Lecture 6: Python 6. Python Tuples

Chapter 10: Python Flow Control

Lecture 1: Python Flow Control 1. Intro

Lecture 2: Python Flow Control 2. Test Conditions

Lecture 3: Python Flow Control 3. For Loops

Lecture 4: Python Flow Control 4. Extending For Loops

Lecture 5: Python Flow Control 5. Continue Break

Lecture 6: Python Flow Control 6. Augmented Assignment

Lecture 7: Python Flow Control 7. While Loops

Lecture 8: Python Flow Control 8. While Loop Challenge

Lecture 9: Python Flow Control 9. Exercise

Chapter 11: Python Lists, Ranges & Tuples

Lecture 1: Python Lists Ranges Tuples 1.Introduction

Lecture 2: Python Lists Ranges Tuples 2.Intro To Lists

Lecture 3: Python Lists Ranges Tuples 3.Lists

Lecture 4: Python Lists Ranges Tuples 4.List exercise

Lecture 5: Python Lists Ranges Tuples 5.Iterators

Lecture 6: Python Lists Ranges Tuples 6.Ranges

Lecture 7: Python Lists Ranges Tuples 7.Slices

Lecture 8: Python Lists Ranges Tuples 8.Tuples

Lecture 9: Python Lists Ranges Tuples 9. Tuples Continued

Instructors

GP Shangari
Algorithmic Trading Instructor

Rating Distribution

1 stars: 22 votes

2 stars: 29 votes

3 stars: 87 votes

4 stars: 166 votes

5 stars: 189 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!