2024 Comprehensive AI & Machine Learning Bootcamp

From HTML Basics to Advanced Python 2024 Updates

3.85 (492 reviews)
Udemy
platform
English
language
Data Science
category
instructor
18,203
students
30 hours
content
Jun 2019
last update
$89.99
regular price

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.

Description

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.

Content

Introduction

Introduction
Installing Python
Installing Anaconda

Setting Up Your Software

Installing Chrome
Installing Atom
Installing Visual Code Studio

HTML

HTML Introduction
HTML 2. Intro To HTML
HTML 3. Headers and Paragraphs
Closing a tag
HTML 4. Divs and Spans
Types of lists
HTML 5. List Types
Correct way to add an image
HTML 6. Attributes
HTML 7. Tables
HTML 8. Forms
HTML 9. Form Legend
HTML 10. Button Forms
HTML 11. Quiz Exercise
HTML 12. Quiz Exercise Solution

CSS

CSS Introduction
CSS 2. Colors
CSS 3. Backgrounds
CSS 4. CSS id, classes
CSS 5. CSS Specificity
CSS 5. CSS Specificity
CSS 6. CSS Chrome Console
CSS 7. CSS Web Fonts
CSS 8. CSS Box Model

Bootstrap

Bootstrap Introduction
Bootstrap 1. Intro to Bootstrap Part 1
Bootstrap 1. Intro to Bootstrap Part 2
Bootstrap 2. Bootstrap Forms
Bootstrap 3. Bootstrap Navbar Part 1
Bootstrap 3. Bootstrap Navbar Part 2
Bootstrap 4. Grids
Bootstrap 5. Test Project

Javascript

Intro to Javascript
Javascript 2. JS Operators
Javascript 3. JS to HTML Part 1
Javascript 3. JS to HTML Part 2
Javascript 4. JS Operators Part 1
Javascript 4. JS Operators Part 2
Javascript 5. JS Control Flow
Javascript 6. JS While Loops
Javascript 7. JS for Loops
Javascript 8. JS Exercises
Javascript 9. JS Exercise Solutions
Javascript 10. Functions
Javascript 11. Functions Exercises
Javascript 12. Functions Solutions
Javascript 13. Functions Arrays
Javascript 14. Objects
Javascript 15. Objects Exercises
Javascript 16. Objects Exercises Solutions

Document Object Model (DOM)

DOM 1. Introduction to DOM
DOM 2. DOM Console Part 1
DOM 3. DOM Console Part 2
DOM 4. Event Listeners
DOM 5. Game Project

jQuery

jQuery 1. jQuery Introduction
jQuery 2. jQuery Basics
jQuery 3. jQuery Events
jQuery 4. jQuery Project

Intro to Python

Python 1. Introduction
Python 2. Python Numbers
Python 3. Python strings
Python 4. Python Lists
Python 5. Dictionaries
Python 6. Python Tuples

Python Flow Control

Python Flow Control 1. Intro
Python Flow Control 2. Test Conditions
Python Flow Control 3. For Loops
Python Flow Control 4. Extending For Loops
Python Flow Control 5. Continue Break
Python Flow Control 6. Augmented Assignment
Python Flow Control 7. While Loops
Python Flow Control 8. While Loop Challenge
Python Flow Control 9. Exercise

Python Lists, Ranges & Tuples

Python Lists Ranges Tuples 1.Introduction
Python Lists Ranges Tuples 2.Intro To Lists
Python Lists Ranges Tuples 3.Lists
Python Lists Ranges Tuples 4.List exercise
Python Lists Ranges Tuples 5.Iterators
Python Lists Ranges Tuples 6.Ranges
Python Lists Ranges Tuples 7.Slices
Python Lists Ranges Tuples 8.Tuples
Python Lists Ranges Tuples 9. Tuples Continued
Python Lists Ranges Tuples 10. Advanced Exercises
Python Lists Ranges Tuples 11. Advanced Exercise Solutions

Python Dictionaries

Python Dictionaries - Intro
Python Dictionaries 1.Dictionaries and Sets
Python Dictionaries 2.Dictionaries Continued

Python Input and Output

Python Input and Output 1. Intro
Python Input and Output 2. Text Files

Methods and Functions in Python

Methods and Functions in Python 1.Intro
Methods and Functions in Python 2. Methods
Methods and Functions in Python 3. Functions Part 1
Methods and Functions in Python 3. Functions Part 2
Methods and Functions in Python 4. Decorators
Methods and Functions in Python 5. Scope
Methods and Functions in Python 6. Advanced Methods Part 1
Methods and Functions in Python 6. Advanced Methods Part 2

Object Oriented Programming

Object Oriented Programming - 1.Intro
Object Oriented Programming - 2.Object Oriented Programming
Oriented Programming - 3.Inheritance Composition
Object Oriented Programming - 4.Class Decorators

Statistics Projects

Statistics Projects Introduction
Statistics Projects 1.DescriptiveStatistics
Statistics Projects 2.ClassicalInferenceProportions
Statistics Projects 3.ClassicalInferenceMeans

Bayesian Projects

Bayesian Projects Intro
Bayesian Projects 4.BayesianAnalysis
Bayesian Projects 5.BayesianInferenceProportions
Bayesian Projects 6.BayesianInferenceMeans
Bayesian Projects 7.Correlations

Machine Learning

Machine Learning Intro
Machine Learning Introduction 8.MachineLearningPrinciples
Machine Learning Introduction 9.TrainingMLModes
Machine Learning Introduction 10.EvaluatingModelResults

Deep Learning Projects

Deep Learning Introduction
Deep Learning Projects 11.knn
Deep Learning Projects 12.DecisionTree
Deep Learning Projects 13.RandomForests
Deep Learning Projects 14.OLS
Deep Learning Projects 15.EvaluatingLinearModels
Deep Learning Projects 16.RidgeRegression
Deep Learning Projects 17.LASSORegression
Deep Learning Projects 18.Interpolation
Deep Learning Projects 19.Perceptron
Deep Learning Projects 20.TrainingNeuralNetwork
Deep Learning Projects 21.RegressionNeuralNetwork
Deep Learning Projects 22. Clustering
Deep Learning Projects 23. Evaluative Clustering
Deep Learning Projects 24.kmeans
Deep Learning Projects 25.Hierarchical
Deep Learning Projects 26. Spectral
Deep Learning Projects 27.PCA
Deep Learning Projects 28.SVD
Deep Learning Projects 29. Low Dimensional

Machine Learning AI

Machine Learning AI Intro
Machine Learning AI 1.Machine Learning
Machine Learning AI 2.Training Algorithms Part 1
Machine Learning AI 2.Training Algorithms Part 2
Machine Learning AI 3.SciKit Part 1
Machine Learning AI 3.SciKit Part 2
Machine Learning AI 3.SciKit Part 3
Machine Learning AI 4.Data Pre Processing Part 1
Machine Learning AI 4.Data Pre Processing Part 2
Machine Learning AI 4.Data Pre Processing Part 3
Machine Learning AI 5.Dimentionality Reduction Part 1
Machine Learning AI 5.Dimentionality Reduction Part 2
Machine Learning AI 5.Dimentionality Reduction Part 3
Machine Learning AI 6.Hyperparameter Optimization Part 1
Machine Learning AI 6.Hyperparameter Optimization Part 2
Machine Learning AI 6.Hyperparameter Optimization Part 3
Machine Learning AI 7. Ensemble Learning Part 1
Machine Learning AI 7. Ensemble Learning Part 2
Machine Learning AI 8.Sentiment Analysis Part 1
Machine Learning AI 8.Sentiment Analysis Part 2
Machine Learning AI 9.Regression Analysis Part 1
Machine Learning AI 9.Regression Analysis Part 2
Machine Learning AI 9.Regression Analysis Part 3
Machine Learning AI 10.Cluster Analysis Part 1
Machine Learning AI 10.Cluster Analysis Part 2
Machine Learning AI 11.Artificial Neural Networks Part 1
Machine Learning AI 11.Artificial Neural Networks Part 2
Machine Learning AI 12.TensorFlow Part 1
Machine Learning AI 12.TensorFlow Part 2
Machine Learning AI 12.TensorFlow Part 3
Machine Learning AI 13.TensorFlow Workshop Part 1
Machine Learning AI 13.TensorFlow Workshop Part 2
Machine Learning AI 13.TensorFlow Workshop Part 3
Machine Learning AI 14.CNN for Images Part 1
Machine Learning AI 14.CNN for Images Part 2
Machine Learning AI 14.CNN for Images Part 3
Machine Learning AI 15.Recurrent Neural Network Part 1
Machine Learning AI 15.Recurrent Neural Network Part 2
Machine Learning AI 15.Recurrent Neural Network Part 3
Machine Learning AI 15.Recurrent Neural Network Part 4

Amazon Datascience

Machine Learning on AWS
Jupyter on AWS Part 1
Jupyter on AWS Part 2
Serverless App using Python on AWS Chalice Part 1

Screenshots

2024 Comprehensive AI & Machine Learning Bootcamp - Screenshot_012024 Comprehensive AI & Machine Learning Bootcamp - Screenshot_022024 Comprehensive AI & Machine Learning Bootcamp - Screenshot_032024 Comprehensive AI & Machine Learning Bootcamp - Screenshot_04

Reviews

Shane
February 13, 2021
So far this course has only covered content from w3school not his own content- but as this is supposed to be a python course it kind of make sense he would do that
Ankit
February 9, 2021
Everything is good. But I'm not the resource which you provide is not working in my PC. Please help me with that. How this resource opens on my PC. Thank You
Giorgio
December 15, 2020
NOT for beginners at all! PRO: Let's start saying that the teacher seems very prepared and the course covers a lot of themes. Those are the only positive things, and the reason why I gave it two stars instead of one. CONS: Before starting you need at least solid basis of pandas, scikit, numpy. The teacher doesn't care about the Q&A of the course. I asked some questions but no one answered me in months (I found the solution on my own and wrote it for other students). One of the few answers the teacher gave to a student asking for further explanation is "replay the course"... quite useless, but many others never got an answer. The first part about web development is probably the only part somehow understandable for a beginner. I already had experience, so for me it was quite easy, but still useful to fix some points. The python part is not deep enough to understand the following concepts. The machine learning part has a lot of theoretical concepts and it is only understandable if you have very strong knowledge of linear algebra and/or statistic. I had to look for other courses here on Udemy in order to start understanding how to develop some examples of ML and artificial intelligence with python and then come back to this one. At the end there is no explanation at all about how to connect the "frontend / web" part with the "python / ML" part. To make things even less understandable, the teacher sometimes uses the mouse to point to something, but we can't see it if he doesn't highlights the text. I suggest to follow this course only if you already have some kind of experience in ML: it would probably help having a more complete view of the subject. If it is your first course on the subject, take at least another one before.
Joseph
July 28, 2020
This is a good beginner course. However if you have some coding experience you might want to skip ahead to some of the more in depth content.
Diksha
April 21, 2020
Yeap, surely it is a good match for me. Since for long time I was looking for certified courses with less boundation of time and adequate resource material.
Stefan
April 13, 2020
Thus far the presenter has only used content from w3schools along with his own explanations. I would have preferred if he used his own content, perhaps starting us off with an HTML project that is gradually built by the material we learn. EDIT: I have reached the end of JavsScript. The presenter has used upwards of 98% material from w3scools.com - a free website. I carried on up to this point because I hope he would use different resources and perhaps share personal insights, but he doesn't do the former and barely the latter. I am requesting a refund.
Harshith
April 12, 2020
could off explained why each application was chosen , explain the pros and cons of each app - explain what an IDE is - what packages are?
Olubukola
April 9, 2020
Easy to follow and lots of resources made available to practice code learnt. Lecture gives clear concise explanations allowing me to follow at a good pace. A mention on how to show results/outputs on VSC would be helpful for future students.
Manish
June 6, 2019
I never wanted to get my hands on HTML (just a phobia kinda stuff). But after having this course, I'm feeling really interested to dive into full-stack development and my confidence has raised a much higher as there is nothing much in frontend . Thanks a lot for the course!!
Rushi
May 20, 2019
The content doesn't feel well presented and the text on the instructor's screen is far too small to follow along on a non-maximized screen - even then it's a bit tough. I wish it was optimized to be viewed at in the smaller sized media player so i could follow along on my own instance of the software.
Elvis
February 1, 2019
The instructor has good content but does not teach it well. His way of teaching is sort of assuming that people have had some programing before. The worst thing in this course is that is video is very poor. I can barely see the texts even when I expand to full screen.
S
October 10, 2018
The video is too blurry. I could barely see. Also, the course involved too much exterior material for example WS3schools. I feel like that I should go to WS3schools to learn instead of following to course.
Samiul
October 10, 2018
This instructor covered a lot but he is so unwilling to explain all of these topics, methods, functions etc. He basically runs what he coded early already and explains very little. I faced a hard time understanding of his doings.
Ankit
October 10, 2018
So far I have just downloaded the required softwares, so i can tell more once I start with real content
Dr
June 20, 2018
It seems we are stuck to the tools mentioned by the author. I would have loved to learn everything independent of tool complexity like code on notepad++ or textwrangler and run in IDLE or something or browser.

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1671686
udemy ID
5/1/2018
course created date
6/18/2019
course indexed date
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