Build a Career in AI, Machine Learning, and Data Science
Master the path to become an AI/ML/DS professional with insights into data, engineering, research, AI leadership roles.
26
students
2 hours
content
Apr 2025
last update
FREE
regular price
What you will learn
Understand the key roles and career paths in AI, Machine Learning, Deep Learning, and Data Science
Identify the responsibilities, required skills, and daily tasks of professionals like AI Engineers, ML Engineers, and Research Scientists
Learn the foundational differences between Machine Learning, Deep Learning, Computer Vision, and AI Research
Explore advanced and specialized fields such as Computer Vision and Deep Learning and how they relate to broader AI applications
Understand the strategic and managerial responsibilities of a Data Science Manager
Discover the tools, frameworks, and programming languages commonly used in AI/ML roles (e.g., Python, TensorFlow, PyTorch, Scikit-learn)
Learn about the educational background, certifications, and portfolio building needed to break into AI and data careers
Build a clear roadmap to transition into AI/ML roles or grow within the industry based on current experience and interests
Recognize the trends, challenges, and future opportunities in AI and data science
Gain confidence in choosing the right specialization (engineering, research, or management) within the AI/ML ecosystem
6567817
udemy ID
4/11/2025
course created date
4/20/2025
course indexed date
Bot
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