Library / Artificial Intelligence

200+ Days: The Complete Pro AIMLDL & Data Science Bootcamp™

On Udemy

About this course

This 200+ day globally recognized, industry-focused bootcamp is your all-in-one training for mastering Artificial Intelligence, Data Science, Machine Learning (ML), Deep Learning (DL), and Generative AI (GenAI) from beginner to expert level with simplicity and depth. Designed for aspiring data scientists, software engineers, AI professionals, and innovation leaders, this course offers a blend of foundational theory, programming practice, machine learning applications, and real-world project. The curriculum aligns with current global AI trends and industry hiring standards.

Whether you're targeting top roles in global tech firms, launching an AI-powered startup, or aiming to build a strong data science portfolio this bootcamp ensures you stay ahead in the global AI race.

Core Modules (SEO Keywords: Data Science, Python, AI, Machine Learning, Generative AI)Data Science Fundamentals

Data Science Sessions Part 1 & 2 – Foundation of modern data science methodologies and approaches.

Data Science vs Traditional Analysis – Comparing data science techniques with conventional statistical methods.

Data Scientist Journey Parts 1 & 2 – Skills, roles, and global career pathways.

Data Science Process Overview – End-to-end project lifecycle and workflows.

Programming Essentials (Python & R for Data Science)Introduction to Python for Data Science – Syntax, structures, and data analysis workflows.

Python Libraries: Numpy, Pandas, Matplotlib, Seaborn – Building blocks for data processing and visualization.

Introduction to R – Fundamentals of R programming for statistics and machine learning.

Data Structures and Functions – Hands-on practice in Python & R for real-world data operations.

Data Collection & Preprocessing

Methods of Data Collection – Surveys, A

Ready to start? Continue on Udemy to enroll.

Start learning on Udemy (opens in a new tab)

Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.