Courses

Python

AI Using Python Overview

Have you ever wondered how machines can learn and make decisions? That’s the magic of Artificial Intelligence (AI), and Python is the key to unlocking its potential! An “AI Using Python” training course equips you with the tools to build intelligent systems.

Imagine creating chatbots that answer your questions, or recommending movies you’ll love – that’s the power you’ll gain. These courses are designed for students with no prior AI knowledge. They start with the basics of Python, a beginner-friendly programming language, and then introduce core AI concepts like machine learning.

Here’s what you can expect:

  • Learn by Doing: You’ll get hands-on experience through projects, like building a program that recognizes handwritten digits or predicts stock prices.
  • Master the Tools: Python libraries like TensorFlow and NumPy become your secret weapons for wrangling data and creating AI models.
  • Unlock Real-World Applications: The course explores how AI is used in fields like healthcare, finance, and entertainment, giving you a glimpse into exciting career possibilities.

By the end, you’ll have a solid foundation in AI and Python, making you a valuable asset in the ever-evolving tech landscape. So, if you’re ready to embrace the future and create intelligent systems, an “AI Using Python” training course is your perfect launchpad!

outdoor image 03

                        What will you learn?


  • Fundamentals of AI: You'll grasp the foundational concepts of artificial intelligence, including machine learning algorithms, neural networks, and natural language processing, using Python as the primary programming language.
  • Data Manipulation and Preprocessing: Gain proficiency in handling and cleaning diverse datasets, performing feature engineering, and preparing data for AI model training, leveraging Python libraries like Pandas and NumPy.
  • Model Development: Learn to design, implement, and fine-tune AI models such as regression, classification, clustering, and deep learning networks using Python frameworks like TensorFlow, Keras, and Scikit-learn.
  • Evaluation and Optimization: Understand techniques for assessing model performance, optimizing hyperparameters, and mitigating issues like overfitting or underfitting through cross-validation, grid search, and regularization methods
  • Deployment and Integration: Explore strategies for deploying AI models into production environments, creating APIs, and integrating them into software applications, utilizing frameworks like Flask or Django for web deployment and cloud platforms like AWS or Azure.
  • .

    services 2
    COURSE STRUCTURE

    MODULE 1.Introduction to Python.

    MODULE 2.Python Fundamental .

    MODULE 3.Machine Learning Basics.

    MODULE 4.Regression and Classification.

    MODULE 5.Neural Network and Deep Learning.

    MODULE 6.Natural Language Processing.

    MODULE 7.Computer Vision.

    MODULE 8.Model  Evaluation and Optimization .

    services 3
    Water Sports
    Fuerat aestu carentem habentia spectent tonitrua mutastis locavit liberioris inistra possedit.
    outdoor image 01
    Winter Sports
    Fuerat aestu carentem habentia spectent tonitrua mutastis locavit liberioris inistra possedit.

    Skill You Gain

    Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

    What You Get

    Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.