AI Powered Full Stack Python Mastery Training

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Duration: 80h 20m

Course level:Expert

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Ai Powered Full Stack Python Mastery Training 6

Course Curriculum

Level 1 – Python Foundations
Goal: Build a strong core understanding of Python syntax, control structures, data types, and basic programming logic.

1.1 – Introduction to Python

1.2 – Setting Up Your Python Development Environment

1.3 – Variables, Data Types, and Operators

1.4 – Conditional Statements

1.5 – Mastering Python Loops with Real-World Applications

1.6 – String and its Manipulation Techniques

1.7 – Mastering Lists and Tuples in Python

1.8 – Smart Collections: Sets and Dictionaries in Python

1.9 – Building Blocks of Code: Python Functions Made Easy

1.10 – Understanding Scope: Controlling Variable Access

1.11 – Power Up Your Code: Mastering Modules

1.12 – File Power: Read, Write, and Work with Data

1.13 – Error-Proofing Your Code, Error Handling, Mastering Exception Handling

Level 2 – Python Advanced Topics and Object-Oriented Programming in Python ( OOP )

2.1 – Think Like an Object: Getting Started with OOP Object Oriented Programming in Python

2.2 – OOP Essentials: Building Smarter Python Programs with Classes

2.3 – Decorators Demystified: Adding Superpowers to Python Functions

2.4 – Efficient Iteration: Mastering Generators in Python

2.5 – Anonymous Functions

2.6 – Iteration Under the Hood: Mastering Python Iterators

2.7 – Elegant Resource Handling: Mastering Context Managers

2.8 – Time & Text Mastery: Handling Dates and Patterns in Python

2.9 – Clean Python Projects: Mastering Virtual Environments

2.10 – Confident Code: Writing & Automating Python Tests

2.11 – Python Logging: Writing, Managing & Debugging

2.12 – Debug Like a Developer: Mastering Python Debugging Tools

2.13 – Interacting with APIs Using Python Requests

Level 3 – Data Handling & Visualization in Python , NumPy, Pandas
Teach the essentials of data manipulation and visualization before diving into analytics or ML.

3.1 – Play with Numbers: Getting Started with NumPy Arrays

3.2 – Descriptive Statistics & Data Exploration Understanding Central Tendency with Python

3.3 – Measuring Spread

3.4 – Math Magic with NumPy: Operations & Broadcasting

3.5 – Data Insights with NumPy

3.6 – Getting Hands-On with Pandas: Mastering the DataFrame

3.7 – Cleaning Up with Pandas: Missing Data, Types & Sorting

3.8 – Summarizing Data with GroupBy & Pivot Tables

3.9 – Visualizing Data with Matplotlib

3.10 – Advanced Visualizations with Seaborn

3.11 – Telling Better Stories with Data

3.12 – Exploratory Data Analysis (EDA): Understanding Data Before Modeling

3.13 – Handling Structured Data CSV, Excel, and JSON in Python

3.14 – Pulling Data from APIs: JSON to DataFrame

Level 4 – Statistics & Math for Data Science (in Python)
Provide strong statistical & math foundation crucial for ML and Data Science

4.1 – Foundations of Probability & Common Distributions

4.2 – Simulations & Sampling with NumPy

4.3 – Understanding Hypothesis Testing in Statistics

4.4 – Hypothesis Testing Methods: t-tests, z-tests, and Chi-Square

4.5 – Measuring Relationships: Correlation Techniques & Visualization

4.6 – Working with Vectors & Matrices

Level 5 – Working with Databases

5.1 – Getting Started with Database, MySQL: Querying the Relational Way

5.2- Modern Data with MongoDB: NoSQL in Action

Level 6 – Machine Learning with Python
Train students to implement classical ML models and evaluate them

6.1 – Getting Started with Machine Learning

6.2 – Building a Machine Learning Pipeline: From Raw Data to Predictions

6.3 – Polynomial Regression: When the Line Isn’t Enough

6.4 – Multiple Regression: Predicting with Many Clues

6.5 – Logistic Regression

6.6 – Classification Techniques
KNN – Learning from Your Nearest Neighbors

6.7 – Making Smarter Splits – Decision Trees & Random Forests

6.8 – Model Tuning,
Streamlining ML Workflows – Pipelines & Hyperparameter Tuning

6.9 – Time Series Forecasting.
Getting Started with Forecasting in Data Science

6.10 – Foundations of Forecast Modeling

Level 7 – Deep Learning with Python
Dive into neural networks using Python and build AI from scratch and with frameworks

7.1 – Fundamentals of Neural Networks – Introduction to Deep Learning

7.2 – Inside Neural Networks: How Deep Learning Learns

7.3 – Building Neural Networks from Scratch with NumPy

7.4 – Deep Learning Frameworks.
Getting Started with TensorFlow & Keras

7.5 – Introduction to Deep Learning with PyTorch

7.6 – Convolutional & Recurrent Neural Networks.

7.7 – Understanding Sequence Modeling” and “Text and Time Series Prediction with LSTMs

7.8 – Evaluating CNN Models and Visualizing Feature Maps

7.9 – Transfer Learning & GANs – Concepts

7.10 – Understanding GANs and Model Persistence

Level 8 – Computer Vision with Python (Real-World Examples)

8.1 – What is Computer Vision?

8.2 – Working with Images, Videos.

8.3 – Working with Images

8.4 – Image Processing

8.5 – Basic OCR (Text Detection)

8.6 – Face Detection with OpenCV

Level 9 – Natural Language Processing (NLP) & Lexical Processing
Get started with NLP by knowing about all the essential text preprocessing and text cleaning techniques.

9.1 Introduction to NLPGetting Started with Natural Language Processing (NLP)

9.2 – Information Extraction & Similarity in NLP

9.3 – Lexical Processing

9.4 – Advance Lexical Processing

Level 10 – LLMs with Python

10.1 – Transformers & Hugging Face.
Understanding Attention and Modern NLP Models Foundation of Language Models

10.2 – Getting Started with Hugging Face Transformers

10.3 – Fine-Tuning Transformers for Custom NLP Tasks

10.4 – Advanced LLM Applications
Optimizing & Hosting Transformer Models for Real-World Deployment

10.5 – Memory-Augmented Generation with Vector Stores

10-6 – Building LLM Agents with Memory and Tool Use

Level 11 – Generative AI
To equip beginners with the foundational knowledge and hands-on skills to create text and image content using Generative AI tools and models.

11.1 – Introduction to Generative AI and Its Evolution from Traditional AI

11.2 – Creative Applications of Generative AI

11.3 – Hands-on with Text Generation. Using the OpenAI API for Basic Prompts

11.4 – Hands-on with Text Generation.

Level 12 – Agentic AI, Agent Architectures & Tools
To introduce beginners to Agentic AI by teaching them how to build autonomous, goal-driven AI agents that can reason, plan, and use tools

12.1 – Introduction to Agentic AI

12.2 – Thinking Like an Agent: Types and Real-World Roles

12.3 – Agent Architectures & Tools The Mind of an Agent: How It Perceives, Thinks, and Acts

12.4 – Smarter with Tools: How Agents Use Tools and Plan Actions

12.5 – Creating Your First Task Agent (OpenAI API)

12.6 – Agents with Memory & Planning

Level 13 – Prompt Engineering
Teach beginners to craft effective prompts for guiding AI models in various tasks.

13.1 – Introduction to Prompt Engineering

13.2 – Structuring Prompts for Precision & Control

13.3 – Writing Effective Prompts – Clear, Structured Prompts to LLMs

13.4 – Shaping AI Responses: Role, Tone & Prompt Patterns

13.5 – Prompt Patterns & Techniques. Chain-of-Thought Prompting

13.6 – Tools & Platforms for Prompting. Prompt Engineering in Action: Structure, Models & Templates

13.7- Unlocking the Power of Prompts: Applications & Troubleshooting

Level 14 – Web Development Using Django
Teach beginners to build dynamic web applications using Django with practical, hands-on experience

14.1 – What is Django & Why Use It?

14.2 – Architecture & Setting Up

14.3 – Django Project Structure

14.4 – Building Pages with Views, Templates & URLs.
Connecting the Dots: URLs, Views, and HTML in Django

14.5 – Templates and Dynamic Content in Django

14.6 – Static Files and Media

14.7 – Working with Models & Databases. Building the Data Layer: Django Models & ORM

14.8 – Mastering CRUD with Django ORM

14.9 – Django Admin: Your Built-In Control Center

14.10- Handling User Input with Django Forms

14.11 – User Authentication in Django

14.12- Putting It All Together: Django Integration

14.13 – Debugging & Testing in Django Projects

14.14 – Preparing Django for Deployment

Level 15 – APIs & Web Scraping
Teach beginners to fetch, scrape, and work with real-world data using APIs and web scraping tools in Python

15.1 – Understanding APIs & Web Communication

15.2 – Navigating the JSON : Data Parsing in Python

15.3 – Unlocking APIs: Authentication with Keys and Tokens

15.4 – Mini Project: Weather or News Fetcher

15.5 – Web Scraping: Extracting Data from the Web

15.6 – Understanding HTML for Web Scraping

15.7 – Targeting Data with BeautifulSoup

15.8 – Building Reliable Web Scrapers

Student Ratings & Reviews

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Jessica Ava

8 hours ago

super good

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Testimonials

CJ Bhinder

01:42 27 Jul 24

I am taking a Selenium automation course with trainer Srinivas. It is great going 👍 Srinivas is a heck of a teacher. I will highly recommend Infosys and Srinivas to anyone looking for software training. Also, I'd like to applaude all the help from Chris Arun from the support team. Well done, guys, at H2K Infosys!!

Navdeep Kaur

01:01 27 Jul 24

Ms. Kathy 9:00am Batch (Automation Testing)
I m currently taking my automation Testing class with Ms. Kathy. She is outstanding instructor. She explained complex concepts with such clarity the most challenging topics became easy to understand.

Maliha Mallik

13:46 26 Jul 24

I have taken Tosca and Mobile App Testing classes by Ms. Kathy, she is an amazing instructor, very knowledgeable and boosts your confidence to another level. I would look forward to attend more of her classes and would definitely recommend anyone. She is the best. Thank you so much Ms. Kathy.

sanjay pawar

03:01 26 Jul 24

I am currently attending Selenium Automation from Mr. Shrinivas. he has deep knowledge and simple clearity about the code. I do not have any background in java but I m able to get the topic easily.

Saraswathi Venugopalaraju

20:34 19 Jul 24

I'm currently learning Selenium Automation with Java course. Srinivas is the best experienced instructor. I really appreciate Srinivas teaching style, it's helped me understand the complex topics well. He explains with lot of patience and with real time examples in easy and understandable way. He covered every topic in great detail. Thank you.

Mesbaha Ahamed

23:54 12 Jul 24

I have been taking mobile testing app with Kathy and she has been an amazing instructor and very knowledgeable about subject. I would recommend anyone to take class with Ms Kathy. I wish all the best to her.

Arukula Pratikshya Sarab

14:51 19 Jun 24

Kiran good supporter for Installation.
Priya also good instructor

Christina J

14:49 19 Jun 24

Priya is very a good instructor. Her teaching style makes it easy to understand , learn and retain. Thank you for taking the time to explain core concepts in QA .
Thank you Kiran for patiently helping with tech support.

Nikhil Joshi

14:41 19 Jun 24

This is Hitesha Joshi.
Thank you Kiran for your Help.

Sandros Bekele

14:33 19 Jun 24

Kiran was very helpful and thank you.

Archana Whawal

19:59 18 Jun 24

I recently attended an automation testing training provided by Shantosh Kumar. He is knowledgeable and experienced in teaching the course. He engaged everyone in class with his ability to explain concepts like JAVA,OOPS and all Selenium concepts in a clear and concise manner. He is very responsive and patient, and answered all our questions thoroughly, making sure that we understood the material before moving on to the next topic. He is very supportive and encouraging throughout the training, which helped me feel more confident in my abilities. I would highly recommend him to anyone looking for an effective and engaging automation testing training.

Mayura Nirmal

18:55 17 Jun 24

I am currently attending Selenium classes from Mr. Shantosh. The instructor is excellent and clearly very knowledgeable about the topics. When I started, I had zero Java knowledge(background) and wasn’t confident. But I am amazed with his teaching skills, as he made Java and Selenium classes so simple to understand, making the subject more interesting and easier to follow. There is no hesitation in asking any question at any time as he makes everyone engaged during the class. The training is very well structured and organized. The one thing I like most is he always gives the real time scenarios and focuses on the interview question topics. I would like to thank him for his efforts and guidance provided.
I highly recommend him if you are thinking of this course training in future.

Veena Jagtap

18:53 17 May 24

I am currently learning automation testing from Ms. Kathy. She is an amazing trainer. She always makes sure that she starts the class with a positive note. No one will be left un attended in her class as she addresses everyone in the class by their names to make sure that everyone is responding to the questions asked and are clear with all the topics taught. Her way of explaining things make it so easier to understand. She asks everyone to elaborate their answers individually, by doing so she develops the presentation skills of the students. Thank you so much Ms. Kathy for being a wonderful trainer.

Dhrupal Patel

22:59 14 May 24

Ms. Kathy is a great trainer with thorough knowledge. She is very lively during the class, which makes learning interesting. Her teaching methods are very clear and practical and she explains in detail with example. I highly recommend her sessions. She answers your questions if you are confused. Her personal attention and seamless effort to ensure each and every student learn the concept is great.

Sanjisha Sood

17:39 01 Apr 24

UFT Sessions by Ms Kathy:
Kathy is a great trainer with thorough knowledge. She is very lively during the class, which makes learning interesting. The best part of her teaching methodology is, she would make sure that everyone is interacting in the class and is not just a passive listener. Her classes not only incorporate the subject material but help building confidence to speak and share thoughts on the topic. She patiently clears all doubts. Her positive reinforcement motivates a lot. Thank you Kathy!

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AI Powered Full Stack Python Mastery Training

What I will learn?

Course Curriculum

Level 1 – Python Foundations Goal: Build a strong core understanding of Python syntax, control structures, data types, and basic programming logic.

1.1 – Introduction to Python

Welcome to the AI-Powered Full Stack Python Mastery: Hands-On Projects & Job-Ready Training

Course Overview. PYTHON MINDMAP

What is Programming Language? Structure of Programming, Algorithms/Flowchart with some general examples, styles of programming, IDE.

What is Python? Origin, philosophy, and purpose of Python in modern computing.

Why Python? Discover why Python is the #1 choice for AI, Data Science, Web development, automation, and more.

Real-World Applications of Python. Get inspired by Python’s role in powering platforms like Netflix, NASA, and Google.

How Python Code Runs: Inside the Python Interpreter. Understand how Python executes code, memory management, and the interpreted nature of Python.

1.2 – Setting Up Your Python Development Environment

Install Python OR use Google CoLab?

Python Setup Across Platform

Anaconda Distribution

Jupyter Notebook

Visual Studio Code

PyCharm

GitHub CoPilot

1.3 – Variables, Data Types, and Operators

Declaring and assigning variables

Python’s dynamic typing model

Core data types: int, float, bool, str

Type conversion & checking (int(), str(), type())

Arithmetic operators (+, -, *, /, %, **)

Comparison operators (==, !=, , etc.)

Logical operators (and, or, not)

Assignment operators (=, +=, -=, etc.)

Identity & membership operators (is, in)

Basic string operations using operators

Quick intro to isinstance() and id()

1.4 – Conditional Statements

Let’s Think Logically : Overview of control flow and the day’s hands-on goals.

Making Decisions in Python: if, elif, else

Real-Time Mini Project

Understanding Modulo

Real-Time Mini Project

Mastering elif and Nested Conditionals

Real-Time Mini Project: Movie Ticket Pricing App

Multiple if Statements: Not Everything is Either/Or

Real-Time Mini Project

Capstone Project

Assignment : Build a multi-decision programe using user input, conditionals, and fun logic!

PDF File or some document : Best Practices

1.5 – Mastering Python Loops with Real-World Applications

Automating Repetitive Tasks with Loops

Getting Started with for Loops, Syntax

Learn how to use for loops to iterate over lists, strings, and ranges.

Real-Time Mini Project

Mastering the while loop

Working with Nested Loops

Real-Time Mini Project

Controlling Loops: break, continue, pass

Real-Time Mini Project

Capstone Project

Assignment: Loop Challenges for Mastery

Instructions for assignment.

1.6 – String and its Manipulation Techniques

Power of Strings Creating and Formatting Strings

Common String Methods

String Slicing and Searching

Working with Escape Characters and Raw Strings

Capstone Project

1.7 – Mastering Lists and Tuples in Python

Working with Collections of Data

Creating and Modifying Lists

List Methods and Slicing

Tuple Usage and Immutability

Capstone Project

Assignment

1.8 – Smart Collections: Sets and Dictionaries in Python

Organizing and Accessing Data the Smart Way

Set Operations and Properties

Real-Time Mini Project

Creating and Manipulating Dictionaries

Real-Time Mini Project

Dictionary Methods and Looping

Real-Time Mini Project

Capstone Project

Level 1 – Python Foundations
Goal: Build a strong core understanding of Python syntax, control structures, data types, and basic programming logic.