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The Complete Artificial Intelligence & Machine Learning Bootcamp

Master AI, Machine Learning, and Deep Learning using Python to build cutting-edge intelligent applications.

5.0 (60 ratings) · 160 learners · Malayalam · Updated Sep 2026
Created by Ayana

What you will learn

  • Master Python essentials specifically for data science and AI development
  • Build, train, and evaluate Machine Learning models using Scikit-Learn
  • Construct Deep Learning neural networks with TensorFlow and PyTorch
  • Process image and text data using Computer Vision and NLP techniques
  • Work with modern Large Language Models and generative AI tools
  • Clean, analyse, and visualise complex datasets effectively
  • Deploy trained AI models into production-ready environments

Course content

5 sections · 30 lessons · 12h 37m total

Introduction To Ai And Ml Preview 29:27
Introduction To Ai And Ml 0:00
Python Programming 1:16:46
Python Programming 0:00
Object-Oriented Programming System 50:15
Object-Oriented Programming System 0:00
File Handling 35:48
File Handling 0:00
Pandas 46:59
Pandas 0:00
Numpy 37:34
Numpy 0:00
Data Visualization Matplotlib Seaborn 51:11
Data Visualization Matplotlib Seaborn 0:00
Exploratory Data Analysis 1:44:40
Exploratory Data Analysis 0:00
Statistics 55:52
Statistics 0:00
Machine Learning 59:14
Machine Learning 0:00
Deep Learning 47:01
Deep Learning 0:00
Natural Language Processing 55:59
Natural Language Processing 0:00
Reinforcement Learning 43:46
Reinforcement Learning 0:00
Flask 29:15
Flask 0:00
Streamlit 33:45
Streamlit 0:00

Requirements

  • A computer (Windows, macOS, or Linux) with internet access
  • Basic high school-level mathematics and algebra
  • No prior coding or AI experience is required—everything is taught from scratch

Description

Welcome to the Ultimate AI & Machine Learning Bootcamp

Step into the future of technology by mastering Artificial Intelligence and Machine Learning. This comprehensive bootcamp takes you from foundational programming to building advanced AI models, neural networks, and generative AI applications from scratch.

What You Will Learn

  • Python for Data Science: Master NumPy, Pandas, and Matplotlib for data manipulation and visualization.
  • Machine Learning Algorithms: Implement supervised and unsupervised learning models using Scikit-Learn.
  • Deep Learning & Neural Networks: Build complex neural networks and computer vision systems using TensorFlow and PyTorch.
  • Natural Language Processing (NLP): Understand sentiment analysis, text processing, and modern Large Language Models (LLMs).
  • AI Deployment: Learn how to integrate machine learning models into live web applications and cloud platforms.

Why Choose This Course?

No prior AI background is required! Through hands-on projects, real-world datasets, and practical coding exercises, you will build a robust portfolio of AI applications to impress recruiters and clients.

Who this course is for

  • Beginners who want to launch a high-paying career in Artificial Intelligence
  • Software engineers looking to transition into Machine Learning and Data Science
  • Data analysts wanting to upgrade their skills with advanced predictive modelling
  • Innovators and entrepreneurs looking to leverage AI in their own products

Your instructor

Ayana

  • 5.00 instructor rating
  • 18 reviews
  • 240 students
  • 3 courses

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