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Data Science & AI Mastery: From Basics to Deployment (Udemy.com)

Practical journey into Data Science & AI with real projects, labs, and deployment skills to launch your career

Created by: Data Science Academy

Last updated September 2025

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What you will learn

  • Clean, analyze, and prepare data for real-world machine learning and AI applications.
  • Build and evaluate machine learning models for regression, classification, clustering, and recommendation systems.
  • Apply deep learning techniques such as neural networks, CNNs, RNNs, and generative AI for advanced use cases.
  • Work confidently with Python, Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch to solve end-to-end problems
  • Perform feature engineering, model optimization, and hyperparameter tuning to improve accuracy
  • Deploy models into production using APIs (FastAPI, Flask), Docker, and Streamlit dashboards.
  • Understand the basics of MLOps, including model monitoring, performance tracking, and drift detection.
  • Tackle real-world projects and a capstone, gaining the confidence to showcase a complete portfolio to employers.
  • Translate technical outputs into business insights and decision-making strategies.

How it compares

Against the other 461 rated Udemy courses in Data Science on CourseDuck:

  • Rating4.4 out of 5higher than 28% of them
  • Reviews113#411 of 462 by number of reviews
  • Length3.6 hoursshorter than 76% of them
  • Last updatedSeptember 2025earlier than 52% of them

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Course Description

“This course contains the use of artificial intelligence.”


This comprehensive Data Science and Artificial Intelligence Mastery course is designed to take you from beginner to job-ready professional in just 100 days. Through a carefully structured curriculum, you’ll gain both theoretical knowledge and hands-on experience with the most in-demand tools and technologies in the industry.



You’ll begin by building a strong foundation in data analysis, data cleaning, and feature engineering, learning how to work with structured and unstructured data. From there, you’ll dive deep into machine learning algorithms such as regression, classification, and clustering, while also mastering advanced topics like deep learning, neural networks, and generative AI.



Every step of the way, you’ll reinforce your skills with hands-on labs, real-world case studies, and a capstone project that simulates industry challenges. You’ll also explore data visualization, model deployment with APIs (FastAPI, Flask), and MLOps concepts like monitoring and drift detection, preparing you for the realities of production environments.



By the end of this course, you’ll have a polished portfolio showcasing end-to-end AI projects, a deep understanding of tools such as Python, Pandas, Scikit-Learn, TensorFlow, PyTorch, Docker, and Streamlit, and the confidence to apply for roles like Data Scientist, Machine Learning Engineer, or AI Specialist.



This isn’t just a course—it’s a complete career preparation journey, giving you the skills, projects, and confidence to stand out in today’s competitive data-driven job market.

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Instructor Details

Data Science Academy

Data Science Academy is a leading provider of practical, industry-focused training in data analytics, data science, and business intelligence. With a mission to make data skills accessible to everyone, the academy designs courses that bridge the gap between theory and real-world application.

Our team of expert instructors brings years of professional experience from diverse industries, including technology, finance, healthcare, and aviation. We specialize in creating hands-on learning experiences that cover the full data lifecycle—from data collection and cleaning to analysis, visualization, and storytelling.

At Data Science Academy, we believe in learning by doing. Our courses feature step-by-step projects, interactive exercises, and real-world datasets, enabling learners to build job-ready skills in Excel, SQL, Python, Power BI, Tableau, and other leading tools.

We are passionate about empowering students to turn raw data into actionable insights that drive decision-making. Whether you are a beginner exploring data for the first time or a professional looking to upgrade your skill set, our courses are designed to help you succeed in today’s data-driven world.

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Reviews

4.4

113 ratings on Udemy

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By Mohamed Abdirahman on 4/22/2026

Course content is good but voice look like ai not human.

By Antoine on 1/3/2026

yes but It needs to show examples of how to use eah one of the terms it is describing as a example to see how you apply the data to implament the term that you are explaining. also be able to provide the example data and where you got it from inorder to visalize the projects you want to use as an example

By Manshi Kumari on 12/13/2025

it was interesting

By Abdelrhman Alaa on 9/24/2025

yes but my expectetion is beteer

By Neslyn Visitacion on 9/23/2025

Very helpful and practical.

By Elias Dengo Demma on 8/20/2026

By Radhakrishnan K R on 6/17/2026

By Ai Learning Tabaarak on 4/22/2026

By Sachin Ghorpade on 4/14/2026

By Shalom Adaji on 3/3/2026

Showing all 10 reviews on CourseDuck

Read all 113 reviews on Udemy

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Quality Score

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Overall Score : 88 / 100