Facing challenges in data science? NVIDIA course of NOVODAN helps you overcome them with expert instructors and a Vietnamese-language curriculum
In today’s digital transformation landscape, skills in Data Science, Machine Learning, and Artificial Intelligence (AI) are becoming key factors that open up countless exciting career opportunities. However, many professionals and learners in Vietnam are facing significant challenges:
❌ Language Barrier: Most international courses are taught in English, making it difficult for those who are not fluent in English to access and grasp the knowledge.
❌ High Training Costs: Many high-quality training programs come with substantial tuition fees, becoming a barrier for many who wish to learn and enhance their skills.
❌ Lack of Hands-on Experience: The courses available in Vietnam often lack practical guidance that aligns with real-world needs and work situations.
Therefore, Novodan offers its first course: Fundamentals of Accelerated Data Science – Accelerated Data Science Foundation with NVIDIA
Specifically, this course is specially designed to help you overcome these barriers, offering the following key benefits:
? Flexible Online Learning in 8 Hours: The online course allows you to learn anytime, anywhere, with only 8 hours required to master the core knowledge of accelerated data science.
? NVIDIA-certified Instructors: The expert team certified by NVIDIA provides international-quality teaching and the latest technology updates.
? Course in Vietnamese: The course is entirely in Vietnamese, with Nvidia-standard materials (in English), making it easier for you to absorb the knowledge.
? Prestigious Certification from NVIDIA: Upon completing the course and assessment, you will receive an international certificate from NVIDIA, validating your capabilities in AI and data science.
In particular, joining this course, you will gain:
✅ Core Knowledge: Master accelerated data science technology with NVIDIA GPUs
In the era of vast and complex data, processing data with traditional CPUs is a major challenge. NVIDIA RAPIDS – a GPU-accelerated open-source library – reduces processing time from several days to just minutes. This course will guide you on how to use RAPIDS and apply them in real-world projects.
✅ Powerful Tools and Optimization Process: Improve data processing efficiency
- cuDF: A DataFrame on GPU with a familiar API like Pandas, enabling fast transfer from CPU to GPU.
- cuML: GPU-accelerated machine learning algorithms, with an API similar to Scikit-learn, optimized for Machine Learning.
- cuGraph: GPU-accelerated graph analytics tools, integrating workflows more efficiently with an API similar to NetworkX.
Beside, the course will guide you to implement these tools to:
- Prepare and extract data features with cuDF and Apache Arrow.
- Apply GPU-accelerated machine learning like XGBoost and cuML.
- Analyze large-scale graphs with cuGraph, enabling fast and efficient data processing.
Additionally, Course Curriculum includes:
? Accelerated Data Processing on GPU:
- Load data directly onto single and multi-GPU systems using cuDF and Dask cuDF.
- Prepare data on population, traffic networks, and healthcare for Machine Learning tasks.
? GPU-Accelerated Machine Learning:
- Apply GPU-accelerated machine learning techniques:
- Use supervised and unsupervised algorithms with cuML.
- Train XGBoost models with Dask on multiple GPUs.
- Analyze and process graph data on GPUs with cuGraph.
Real-World Project: “Save the UK” Data Analysis:
- Implement GPU-accelerated data processing and analysis skills to prevent a simulated epidemic affecting the entire UK population:
- Use RAPIDS to integrate large datasets and perform real analysis.
- Adjust and scale the analysis as new data is updated daily in the simulation.
Special Offer at NOVODAN: 10% OFF TUITION FEES for the First 20 Registrants
Moreover, to encourage and support learners in accessing advanced technologies, Novodan offers a 10% discount on tuition fees for the first 20 students who enroll. This is a fantastic opportunity for you to enhance your skills and expand your career opportunities in the data science field. Sign up now to grab the offer here: LINK
To sum up, by joining the “Fundamentals of Accelerated Data Science” course at Novodan, you will be fully equipped with the knowledge and skills to master NVIDIA GPU-accelerated data science technology, improving your work performance and gaining a competitive edge in today’s job market.