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 Python For AI/ML Development Course preview Course preview · 2 min

Self-paced · learn on your own schedule

Python For AI/ML Development Course

Learn Python for AI and ML to build intelligent applications and machine learning solutions.

60 videos 10 labs 13 notes 19 Q&A Guides

Self-paced — all 6 Modules unlock instantly, no cohort to wait for.

Tools and Technologies Covered

PythonPython
NumPyNumPy
PandasPandas
MatplotlibMatplotlib
Jupyter NotebookJupyter Notebook
AnacondaAnaconda
GitHubGitHub
VS CodeVS Code

Where this takes your career

Companies hiring Python & AI/ML developers

Microsoft Amazon IBM Accenture Cognizant Google
0-1 yr

Junior Python Developer

Writing clean Python code, using conditionals, loops, functions, and modules to build foundational applications.

1-3 yr

Python & AI/ML Developer

Building data-driven applications with OOP, file handling, exception handling, and core Python libraries for ML workflows.

3-5 yr

Senior Python / ML Engineer

Designing scalable Python systems, building ML pipelines, optimizing model performance, and mentoring junior developers.

5+ yr

AI/ML Architect / Tech Lead

Leading AI strategy, architecting large-scale ML systems, guiding technical decisions, and driving business impact with intelligent solutions.

Why Learn Python

Build a strong Python foundation for AI and ML development with practical programming concepts and essential libraries.

`

Python Fundamentals

Get started with Python programming, syntax, variables, data types, conditional statements, loops and core programming concepts.

Python · Conditions · Loops

Core Skill `

Functions & Modules

Write reusable Python code with functions and organize applications using modules and structured programming practices.

Functions · Modules · Reusability

`

OOP & Exception Handling

Learn object-oriented programming with Python along with file handling and exception handling to build robust and maintainable applications.

OOP · Files · Exceptions

`

Python Libraries

Explore essential Python libraries and understand how they support real-world development and provide the foundation for AI and ML workflows.

Libraries · AI · ML

Python Course Eligibility

  • Beginners Starting their Python and AI/ML journey Students and beginners
  • Career switchers Moving to Python for software and data roles Developers from other languages
  • Python learners Building strong programming and problem-solving fundamentals Aspiring Python developers
  • Career growth Preparing for Python, data, and AI/ML roles Working professionals

Curriculum — 6 Modules

Python For AI/ML Development Course · Open a module to explore lessons, labs & tests.

60 videos 10 labs 13 notes 19 Q&As

Overview of Python
Python an Interpreted Language 0:02:15
Python History 0:03:24
Downloading and Installing Python 0:04:15
Variables and Data Types
Variables 0:06:03
Data Types 0:07:04
String and String Methods 0:06:07
String Formatting 0:03:09
Escapse Sequences 0:03:32
Python Operators 0:07:28
Reading from Keyboard 0:04:36

Conditional Constructs
Conditional Statements 0:01:37
If Statement 0:03:47
If else statement 0:02:33
If-Elif-Else-Statement 0:03:43
Nested Conditions 0:03:42
Match-Case Conditions 0:02:59
Looping Constructs
Loops in Python 0:00:44
For Loop 0:05:50
While Loop 0:04:23
Jump Statements 0:00:53
Break Statement 0:02:00
Continue Statement 0:03:22
Return Statement 0:02:28

Working with Functions
Python Functions - Session Agenda 0:00:36
Functions Introduction 0:01:20
Defining and Calling Functions 0:02:57
Function Arguments 0:04:50
Lambda Functions 0:04:28
Recursion Function 0:04:34
Built-In Functions 0:04:10
Anonymous-Functions 0:02:41
Global, Local and NonLocal 0:03:55

Object Oriented Programming
OOPS Introduction 0:01:45
Classes and Objects 0:03:56
Inheritance 0:05:52
Polymorphism 0:04:22
Encapsulation 0:04:42
Abstraction 0:04:41
Access Modifiers 0:05:21
Constructor 0:05:11

File Handling
File Handling Session Agenda 0:00:38
Python File Handling Introduction 0:01:59
How-python-talk-to-files 0:05:01
Text vs. Binary Files 0:04:45
Python-Directory 0:05:49
Exception Handling Agenda 0:01:00
Python Exceptions 0:02:56
Python Exception Handling 0:03:29
Exception Handling Hands-On 0:04:11
User Defined Exception 0:05:30

OUR ALUMNI WORK AT

Trusted by learners whose careers now thrive at leading companies

50% off
Included: Videos
Included: Quick Notes
Included: Q&A Guides
Not included: Labs
Plus
₹1,499 ₹2,998

24 Months access · one-time payment

5-day money-back guarantee
Trusted by 2,00,000+ developers, tech leads and architects Taught by Microsoft MVPs and solution architects
Why learners choose ScholarHat

ScholarHat Self-Paced vs. scattered free tutorials

The videos are free everywhere. What you're actually paying for is the structure, the practice, and the proof that you finished.

6 Guided Modules Not scattered videos
10 Hands-on Labs Not watch-only
0 Skill Tests Certificate on completion
19 Interview Q&As Not on your own

Our Students Review

Frequently asked questions

Q1. What is Self Paced course offered by ScholarHat?
Online Self Paced Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You'll learn through videos, PPTs, and Assignments designed to enhance learning outcomes, all at times that are most convenient for you.
Q2. Who are your mentors?
All our mentors are highly qualified and experience professionals. All have at least 8-10 yrs of development experience in various technologies and are trained by ScholarHat to deliver interactive training to the participants.
Q3. How would I get access to the Learning Content?
As soon as you enroll in the course, you will get access to the course content through LMS (The Learning Management System) in the form of a complete set of Videos, PPTs, PDFs, and Assignments. You can start learning right away.
Q4. How do I enroll for the course?
You can enroll in the course by doing payment. Payment can be made using any of the following options.
  1. Visa debit/credit card
  2. Net banking
  3. Through PayPal
Q5. Student discounts?
Yes, Dot Net Tricks provides student discount to learners who cannot afford the fee. Email us from your student account, or attach your student ID.
Q6. Can I share my course with someone else?
In short, no. Check our licensing that you agree to by using ScholarHat LMS. We track this stuff, any abuse of copyright is taken seriously. Thanks for your understanding on this one.
Q7. How do I setup my team?
Please drop us an email with a list of user details like name, email you’d like to enroll and have access, we'll create your team accounts.
Q8. Do you provide technology version upgrade session free?
Yes, we do. As the technology upgrades your content gets updated at no cost.
Q9. Whom do I contact, if I have more queries?
You can give us a CALL at +91 113 303 4100 OR email us at enquiry@dotnettricks.com
Q10. Do you offer certificates of completion?
We do. Once you've finished a course, reach out to us.
Still have some questions? Let's discuss.
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