Hadoop & Data Science Solutions and Support
DEVELOPMENT | CONSULTING | TECHNICAL SUPPORT | TRAINING
Gayatri Technologies Pty Ltd, established in January 2018, comprises a team of experienced senior IT professionals. As an IBM Business Partner, Cloudera System Integrator Bronze Partner, Google Cloud Partner, AWS, Talend, and Erwin Consulting Partner, we offer a range of solutions in Artificial Intelligence & Machine Learning, Hadoop, Business Intelligence, and Data Warehousing. With over 25 years of collective experience in Australia and the Asia Pacific region, our team excels in delivering high-quality services.
Gayatri Technologies Pty Ltd, based in Sydney, Australia, specializes in delivering cutting-edge Hadoop solutions that make use of the comprehensive Apache Hadoop ecosystem. Our expertise extends to a wide range of components, including Hive, Pig, Spark, Scala, Nifi, HDFS, HBase, Python, Machine Learning, and Deep Learning. With a dedicated focus on meeting the diverse requirements of our clients, we are committed to providing innovative and customized solutions.
Additionally, in 2019, we launched GTechnologies Pty Ltd: g t e c h n o l o g i e s . a u as a sister company to further expand our capabilities and offerings.
Thank you for visiting our website. We also invite you to explore our Udemy course offerings. Feel free to check out our courses on Udemy as well.
Course Launch – NumPy, Pandas, Matplotlib in Python using Amazon SageMakerLearn Python using Amazon SageMaker
We are thrilled to present our latest course titled ‘Learn Python using Amazon SageMaker: NumPy, Pandas, Matplotlib’. This course is designed to provide you with comprehensive training in utilizing NumPy, Pandas, and Matplotlib libraries within the context of Python programming, all through the powerful platform of Amazon SageMaker. We are excited to offer you this opportunity to enhance your Python skills while leveraging the capabilities of Amazon SageMaker.
NumPy, Pandas, Matplotlib in Python using Amazon SageMaker | Udemy
Elevate your skills with our expert-led online tutorials available on Udemy. We are excited to announce the launch of our highly sought-after Python course! Whether you are a coding beginner or aiming to level up your skills to secure your dream job, our course, ‘NumPy, Pandas, Matplotlib in Python using Amazon SageMaker: Learn Python using Amazon SageMaker’, is perfect for you. By enrolling in this course, you will gain unlimited access to online learning resources and have the opportunity to practice industry-level projects. Take the next step in advancing your career with this comprehensive Python course.
Course Launch – Machine Learning Projects for Healthcare
This course aims to offer students a practical and accessible approach to understanding essential concepts related to neural networks and machine learning techniques. Its primary goal is to equip students with the knowledge they need in a straightforward manner.
This course is designed for:
- Data Scientists who wish to apply their Machine Learning expertise to practical use cases.
- Python/Machine Learning enthusiasts who are eager to enhance their project portfolio.
- Individuals interested in understanding the applications of machine learning and AI in healthcare and the medical field.
Additionally, I am thrilled to announce our latest course on Udemy titled “Machine Learning Projects for Healthcare”.
Machine Learning Projects for Healthcare
Course Launch – AWS Certified Machine Learning Specialty Full Practice Exam
This examination is designed to assess your proficiency in designing, implementing, deploying, and maintaining machine learning (ML) solutions for specific business challenges. It will validate the following skills:
- The ability to select and justify the appropriate ML approach for a given business problem.
- Identifying suitable AWS services for implementing ML solutions.
- Designing and implementing ML solutions that are scalable, cost-optimized, reliable, and secure.
AWS has developed a Machine Learning pathway to enable professionals to evaluate their skills and experience in developing, fine-tuning, training, and deploying ML models using AWS cloud services.
Preparing for the AWS Machine Learning Specialty exam can be quite challenging and requires dedication, hard work, and the right resources to excel. While there are numerous resources available, it’s important to identify the ones that are most beneficial for your preparation. By utilizing efficient resources, you can maximize your learning in a shorter period of time, allowing for more practice and revision opportunities.
AWS Certified Machine Learning Specialty Full Practice Exam
AWS Certified Machine Learning Specialty Full Practice Exam
