Embark on a transformative journey into the realm of Artificial Intelligence (A.I.) and Machine Learning with our top-rated and newly updated course. Boasting an impressive 4.6 rating from 19,977 reviews and attended by a whopping 113,118 students, this bootcamp is designed to equip you with the skills to become a proficient Data Scientist and Machine Learning engineer.
Key Course Features:
- Duration: A comprehensive 43.5 hours of on-demand video content.
- Resources: Engage in 1 coding exercise, explore 58 articles, and utilize 14 downloadable resources.
- Accessibility: Access course materials on mobile and TV platforms.
- Lifetime Access: Enjoy full lifetime access to the course content.
- Certification: Receive a certificate of completion upon finishing the course.
- Discount: Avail an 89% discount for a limited time, with the current price set at $12.99 (original price $119.99).
- Guarantee: Backed by a 30-Day Money-Back Guarantee.
What You’ll Learn:
- Attain proficiency in Data Science, including Data Analysis and Machine Learning, using Python, TensorFlow, Pandas, and more.
- Master advanced concepts such as Deep Learning, Transfer Learning, and Neural Networks with the latest TensorFlow 2.0.
- Implement modern tools utilized by major tech companies like Google, Apple, Amazon, and Meta.
- Develop the ability to present Data Science projects effectively to management and stakeholders.
- Gain practical knowledge through real-life case studies and projects, ensuring a deep understanding of industry practices.
- Learn best practices in Data Science Workflow and understand when to use specific Machine Learning models for different problems.
- Acquire programming skills in Python 3, including data pre-processing, cleaning, and analysis of large datasets.
- Build a portfolio of real-world projects to showcase on your resume, boosting your employability.
- Establish a developer environment for Data Science and Machine Learning applications.
- Explore both supervised and unsupervised learning, delve into machine learning on time series data, and visualize large datasets using tools like Matplotlib and Seaborn.
- Dive into libraries such as NumPy, Scikit-Learn, and Pandas for efficient data manipulation and analysis.
- Learn about Data Engineering tools like Hadoop, Spark, Kafka, and understand their applications in the industry.
- Master classification, regression modeling, and the application of Transfer Learning in real-world scenarios.
- Engage in coding exercises to practice and enhance your skills throughout the course.
Course Structure:
- 21 sections with 382 lectures, totaling 43 hours and 54 minutes.
- The course covers a broad spectrum, starting from the basics and progressing to advanced topics such as Neural Networks, Deep Learning, and Transfer Learning.
Instructors:
The course is co-taught by industry experts:
- Daniel Bourke – A self-taught Machine Learning Engineer with experience in AI agencies, working on projects across healthcare, eCommerce, finance, and more. Daniel brings a practical and hands-on approach to the course.
- Andrei Neagoie – An instructor of the highest-rated Development courses on Udemy, with graduates working at major tech companies worldwide. Andrei’s extensive experience in Silicon Valley and Toronto contributes to the course’s comprehensive content.
Who Should Take This Course:
- Beginners and those with zero experience looking to learn Machine Learning, Data Science, and Python.
- Programmers aiming to extend their skills into Data Science and Machine Learning for increased value.
- Individuals seeking to learn from industry experts with practical experience in the field.
- Anyone in search of a single course to gain proficiency in Machine Learning, Data Science, and Python.
- Those who want to truly understand the fundamentals and apply them to real-world projects.
- Aspiring professionals looking to add value to their business or company using powerful Machine Learning tools.
Embark on this transformative bootcamp, designed to make you a proficient Data Scientist and Machine Learning engineer. Enroll now and witness the exponential growth of your skills in the exciting fields of A.I. and Machine Learning!
