The Automation Bootcamp: Zero to Mastery

Name: The Automation Bootcamp: Zero to Mastery
Availability: InStock
Rating: 5 (2 reviews)

22h 39m 15s

English

Free

May 20, 2024

Updated September 2026

The Automation Bootcamp: Zero to Mastery is a 133-lesson 22 hours 39 minutes self-paced course by Zero To Mastery. This free course is built around one goal: automating away the repetitive, tedious parts of your work using Python and AI, with no coding experience required going in.

Course facts

Lessons: 133
Duration: 22 hours 39 minutes
Level: All levels
Language: English
Updated: 2026-09-11
Instructor: Zero To Mastery
Price: Free

This free course is built around one goal: automating away the repetitive, tedious parts of your work using Python and AI, with no coding experience required going in.

What you'll build

You work through 11 automation projects from scratch, each one aimed at a real, practical time-saver rather than a toy example. Alongside the projects, the course covers the underlying building blocks of automation as well as more advanced tools and techniques that go beyond a typical beginner overview.

Across 133 lessons, it's designed to take someone with zero background and build them up into someone who can genuinely automate parts of their own workflow using Python and AI tools together.

We guarantee you that this is the best, most comprehensive, and up-to-date course to learn automation. You'll not only learn the fundamental building blocks, but you'll also learn advanced topics, tools, and tricks that most courses don't cover!

Who teaches The Automation Bootcamp: Zero to Mastery? Zero To Mastery

Zero To Mastery (ZTM) is a Toronto-based online coding academy founded by Andrei Neagoie, originally a senior developer at large Canadian tech firms before turning to teaching full-time. The academy's signature is the cohort-based bootcamp track combined with a deep self-paced course library, all aimed at career-changers and self-taught developers preparing to land software-engineering roles at top companies.

The instructor roster has grown well beyond Andrei to include other senior practitioners: Daniel Bourke (machine learning), Aleksa Tešić (DevOps), Jacinto Wong, and others. Courses cover the full software-engineering career path: web development with React and Next.js, Python, machine learning and deep learning, DevOps and cloud, system design, mobile, and the algorithm / data-structure interview prep that gates engineering jobs.

The CourseFlix listing under this source carries over 120 ZTM courses spanning that full range. Material is paid; ZTM itself runs on a monthly / annual membership model. The teaching style favours long-form, project-based courses where students build complete portfolio-quality applications rather than disconnected feature tutorials.

What lessons are included in The Automation Bootcamp: Zero to Mastery?

0:00 0:00

#	Lesson Title	Duration
1	The Automation Bootcamp: Zero to Mastery	01:21
2	Course Introduction	04:44
3	What is Programming?	06:50
4	Introducing the Replit Editor	09:36
5	Values and Types	09:35
6	Functions	12:45
7	Expressions	11:07
8	Expressions in Python	04:13
9	Variables	11:39
10	Naming Variables	06:44
11	Errors	05:53
12	F Strings	06:48
13	Objects, Attributes, and Methods	10:32
14	Scripts	10:59
15	Comments	04:33
16	Lists	11:38
17	Tuples	08:56
18	Dictionaries I	12:34
19	Dictionaries II	07:45
20	If Statements I	09:27
21	If Statements II	07:45
22	Else and Elif	11:47
23	And and Or	09:39
24	While Loops	09:51
25	Validating Input with While Loops	08:48
26	For Loops	09:50
27	Looping Through Lists and Tuples	08:55
28	Looping Through Dictionaries	11:17
29	Modules, Libraries, and Classes	16:25
30	Introduction	03:03
31	Introduction to PyCharm	19:56
32	Plaintext Files	02:56
33	Opening, Reading, and Closing Files	08:16
34	Readlines and the With Statement	07:28
35	Writing to Plaintext Files	11:01
36	CSV Files	03:54
37	Reading from CSV Files	11:26
38	Writing to CSV Files	10:18
39	Transferring in Text Files	12:39
40	Product Sales Tracker Project - Introduction	05:47
41	Project - Walkthrough	13:21
42	Understanding Paths	12:30
43	Handling Paths with Pathlib	11:49
44	Pathlib Methods	06:34
45	Iterating Over File Paths	05:50
46	Accessing File and Folder Properties	13:17
47	Creating Folders	08:47
48	Copying Files	09:54
49	Copying Folders	05:54
50	Moving Files and Folders	07:40
51	Renaming Files and Folders	08:47
52	Deleting Files and Folders	12:55
53	Clean Sweeper Project - Introduction	06:03
54	Another Way to Create Paths	10:14
55	Project - Solution	16:46
56	Introducing Regular Expressions	09:33
57	Regex Syntax Basics	08:41
58	Special Characters	07:05
59	Matching Multiple Characters	14:21
60	Quantifiers	10:09
61	Custom Quantifiers	09:35
62	Anchors	07:41
63	Regular Expressions in Python I	07:16
64	Regular Expressions in Python II	10:22
65	Findall	08:33
66	The Sub Method	13:37
67	SSN Masker Mini-Project - Introduction	02:54
68	Mini-Project - Solution	05:26
69	Alternation	14:58
70	Compilation Flags	14:57
71	Contact Info Extractor Project - Introduction	09:09
72	Project - Solution Part 1	13:18
73	Project - Solution Part 2	10:48
74	The Compile Method	06:28
75	Introduction	02:49
76	Introducing openpyxl	07:14
77	Introducing gspread	17:25
78	Automating Excel 101	10:47
79	Automating Google Sheets 101	11:14
80	Automating Worksheet Operations Part 1 - Excel	09:18
81	Automating Worksheet Operations Part 2 - Excel	10:10
82	Automating Sheet Operations Part 1 - Google Sheets	08:36
83	Automating Sheet Operations Part 2 - Google Sheets	10:57
84	Working with Cells - Excel	11:44
85	Working with Cells - Google Sheets	10:46
86	Working with Ranges - Excel	11:00
87	Writing Data to Excel Ranges	14:13
88	Working with Ranges - Google Sheets	16:30
89	Automating Formulas Part 1 - Excel	05:11
90	Automating Formulas Part 2 - Excel	12:03
91	Automating Formulas Part 1 - Google Sheets	07:23
92	Automating Formulas Part 2 - Google Sheets	16:49
93	Working with Cell Styles - Excel	16:02
94	Working With Cell Styles - Google Sheets	16:38
95	Diff Analyzer Project - Introduction	09:50
96	Excel Project - Solution Part 1	23:16
97	Excel Project - Solution Part 2	05:32
98	Excel Project - Solution Part 3	17:19
99	Google Sheets Project - Solution Part 1	18:28
100	Google Sheets Project - Solution Part 2	05:23
101	Google Sheets Project - Solution Part 3	18:31
102	Exercise: Imposter Syndrome	02:57
103	How Email Works	03:27
104	Sending Your First Email with Python	18:10
105	Enhanced Emails with the Email Module - Part 1	09:53
106	Enhanced Emails with the Email Module - Part 2	13:02
107	Sending Emails to Multiple Recipients	13:10
108	Sending Emails with Attachments	12:13
109	Customer Feedback Alert System Project - Introduction	05:46
110	Project - Solution	22:30
111	Introduction to APIs	08:39
112	HTTP 101	10:08
113	Making HTTP Requests with Python	12:52
114	Requesting JSON with Python	10:34
115	Adding Parameters to Requests	08:07
116	Request Parameters in Python	11:46
117	Tech Trivia Fetcher Project - Introduction	08:08
118	Project Solution - Part 1	10:13
119	Project Solution - Part 2	12:46
120	Introducing ChatGPT	05:36
121	Exploring ChatGPT's Capabilities	11:20
122	API Authentication	12:17
123	The OpenAI Playground	14:04
124	Managing the API Key	07:54
125	Our First API Call	10:41
126	The max_tokens Parameter	07:33
127	Understanding GPT Models	11:18
128	The temperature Parameter	10:52
129	Building a Celebrity ChatBot - Part 1	13:29
130	Building a Celebrity ChatBot - Part 2	11:19
131	BrunoBot Project - Introduction	08:29
132	Project - Solution	19:44
133	Thank You!	01:18

What courses are similar to The Automation Bootcamp: Zero to Mastery?

Updated 2y ago
Build Fast Masterclass
By: Build Fast Academy
How to finally Launch your AI Product (without ripping your hair out).. that makes you money in 30 days (or less). But unlike other AI courses, you won't learn
7h 22m5/5
FreeClassic
100 Days of Code - The Complete Python Pro Bootcamp for 2023
By: Udemy
Watch the 100 Days of Code Python Pro Bootcamp free: 100 daily projects covering Python basics, web scraping, data science, automation and GUI apps.
58h 35m5/5
Updated 2y ago
Complete Backend (API) Development with Python A-Z
By: Udemy
This course for anyone who wants to be python backend developer. You will learn what is API and some python API frameworks.
12h 35m
Updated
Data Science Jumpstart with 10 Projects Course
By: Talk Python Training
Learn data science with Python through 10 hands-on projects: cleaning data, machine learning basics, dashboards, and SQL, no prior experience needed.
3h 12m
Classic
The Ultimate Django Series: Part 2
By: Mosh Hamedani (Code with Mosh)
Do you want to take your Django skills to the next level and become that professional back-end developer that companies love to hire?
5h 41m5/5
Updated
Conduct a Choice-Based Conjoint Analysis for Netflix with Python
By: Zero To Mastery
Learn Choice-Based Conjoint Analysis in Python through a practical Netflix growth scenario, going beyond feature-by-feature surveys.
1h 39m
Updated 1y ago
Data Analysis for Beginners: Python & Statistics
By: Zero To Mastery
Embark on your journey into the world of data analysis with this comprehensive course on Python and statistics.
6h 34m5/5
Updated 2y ago
Modern Python Projects
By: Talk Python Training
There's a long way from writing your first print("hello world") to shipping a Python application. Installing new packages without breaking others, choosing the
8h 45m5/5

More courses by Zero To Mastery

Classic
Complete Web Developer in 2025: Zero to Mastery
Learn to code. Get hired. This is one of the most popular, highly rated coding bootcamps online. It's also the most moderen and up-to-date. Guaranteed. You'll g
37h 3m5/5
Classic
Complete Next.js Developer in 2023: Zero to Mastery
Learn Next JS from industry experts using modern best practices. The only Next JS tutorial + projects course you need to learn Next JS, build enterprise-level R
27h 12m5/5
Classic
Complete SQL + Databases Bootcamp: Zero to Mastery
With so many online resources available, it can be paralyzing not only figuring out where to start but more importantly which courses will actually teach you th
24h 6m5/5
Updated 3y ago
Power BI Bootcamp: Zero to Mastery
This Power BI Bootcamp will take you from absolute beginner in Power BI to being able to get hired as a confident and effective Business Intelligence Analyst. Y
16h 55m
Updated 3y ago
Bash Scripting: Learn Shell Scripting
Learn Bash Scripting from scratch, from an industry expert. You'll learn Shell Scripting fundamentals, master the command line, and get the practice.
9h 38m
FreeUpdated 3y ago
ChatGPT & Large Language Models (LLMs): A Practical Guide
Learn how ChatGPT actually works under the hood! This byte-sized course will get you up to speed on Large Language Models (LLMs) including topics like Prompt De
58m5/5

Frequently asked questions

What prerequisites are required for this course?

No prior coding experience is required to enroll in this course. It is designed for complete beginners and starts with the basics of programming, such as values and types, functions, and expressions in Python. The course gradually builds up to more complex topics, ensuring that even those with no background in programming can follow along and succeed.

What kinds of projects will I build in this course?

Throughout the course, you will build 11 automation projects from scratch using Python and AI. These projects are designed to help automate repetitive tasks in your work and life. Specific projects include a Product Sales Tracker and a Clean Sweeper, which involve tasks such as handling file paths, iterating over files, and organizing data.

Who is the target audience for this course?

The course is aimed at individuals looking to learn automation using Python, regardless of their prior experience. It's ideal for beginners who want to automate mundane tasks or enhance their productivity through programming. The course also suits professionals seeking to add automation skills to their toolkit.

What tools and platforms will I be using in this course?

The course introduces several tools and platforms essential for automation. You will learn to use the Replit Editor and PyCharm for coding. Additionally, the course covers handling files with Python libraries, using Pathlib for file management, and employing regular expressions for data manipulation.

What topics are not covered in this course?

While the course provides a comprehensive introduction to automation using Python, it does not cover advanced topics like machine learning, deep learning, or web development. It focuses primarily on automating tasks through scripting and does not delve into other programming languages or frameworks beyond Python.

How much time should I allocate to complete the course?

The course consists of 133 lessons, which are designed to be digestible and hands-on. While the total runtime isn't specified, students should expect to spend several weeks working through the material, depending on their pace and the time they dedicate daily. It is structured to allow flexibility in learning.

Will the skills learned in this course be applicable to other areas or careers?

Yes, the automation skills you gain in this course can be highly valuable across various industries. Understanding Python and automation principles allows you to optimize workflows, enhance productivity, and solve practical problems. These skills are transferable to careers in data analysis, software development, IT, and more.