Data Science & AI Masters 2025 - From Python To Gen AI
Master Data Science and AI: Learn Python, EDA, Stats, SQL, Machine Learning, NLP, Deep Learning and Gen AI
4.55 (359 reviews)
7 076
students
89.5 hours
content
Apr 2025
last update
$84.99
regular price
What you will learn
Build a solid foundation in Python programming to effectively implement AI concepts and applications.
Learn how Machine Learning & Deep Learning works
Learn how transformer models revolutionize NLP tasks, and how to leverage them for various applications.
Gain hands-on experience with Retrieval-Augmented Generation (RAG) and Langchain for building advanced AI applications.
Learn how to utilize vector databases for efficient storage and retrieval of embeddings in AI projects.
Understand the complete pipeline of Natural Language Processing, from data preprocessing to model deployment.
Explore the essentials of Large Language Models (LLMs) and their applications in generative tasks.
Develop skills in crafting effective prompts to optimize model performance and achieve desired outputs.
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Our Verdict
Data Science & AI Masters 2025 - From Python To Gen AI offers an all-encompassing learning experience, combining foundational programming and data science principles with advanced AI techniques. Emphasizing real-world projects and state-of-the-art AI trends, this course equips learners with in-demand skills for the rapidly evolving tech landscape of 2025. However, prospective students should consider their time commitment and support expectations alongside their learning goals.
What We Liked
- The course provides a comprehensive journey from Python basics to advanced Generative AI, making it a one-stop solution for data science and AI education.
- Real-world projects and interactive exercises enhance learning engagement and immediately applicable skills acquisition.
- Expert coverage of the latest AI trends, such as Retrieval-Augmented Generation (RAG), Langchain, and Large Language Models (LLMs), ensures students stay up-to-date with state-of-the-art models and techniques.
- The course design accommodates beginners and experts alike, offering a smooth transition from foundational concepts to advanced AI models.
Potential Drawbacks
- Some students might find the duration of 89.5 hours intimidating or time-consuming to complete.
- There is no specific mention of whether additional support, such as teaching assistants or office hours, is provided for learners who may need assistance during their coursework.
- While the curriculum introduces a wide range of AI concepts, certain specialized topics might not be explored in-depth due to the breadth of the material covered.
6342521
udemy ID
16/12/2024
course created date
28/01/2025
course indexed date
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