Microsoft DP 100 Designing and Implementing a Data Science Solution on Azure course is designed to provide learners with the skills necessary to design, build, deploy, and maintain machine learning and advanced analytics solutions on Azure. With this course, you will learn the fundamentals of working with Azure Machine Learning, Azure Databricks, and related data science services on the Microsoft Azure platform. You will design, develop, test, deploy, monitor and secure end-to-end cloud data science solutions.
This course is applicable to both technical and non-technical audiences and provides learners with a comprehensive understanding of the Azure platform and its features. You will also gain an understanding of the different types of services available for data science development on Azure. This course covers topics such as big data analysis with distributed computing, streaming analytics and machine learning to deliver insights from large datasets. It also covers the implementation of security and compliance. Additionally, this course provides hands-on lab activities which enable learners to put the skills learnt in the course into practice.
This course is ideal for those wishing to learn more about Azure services for data science projects, such as data engineers, data architects, data analysts, and application developers. Also, this is suited for those who have some knowledge of analytics fundamentals and wish to learn more about using Azure services to create advanced analytics models and solutions.
1. Learners will gain a deep understanding of the definition and scope of data science.
2. Learners will be knowledgeable of the various Azure services related to data science.
3. Learners will have an opportunity to apply their knowledge to designing a data science solution on Azure.
4. Learners will understand how to use Azure Machine Learning development tools, such as Azure Notebooks, Visual Studio Code, and Jupyter Notebook.
5. Learners will be capable of using Azure Storage, including Azure Blob Storage, Azure Data Lake Storage and Azure SQL Database.
6. Learners will have the ability to use Azure Cognitive Services, such as the Microsoft Bot Framework, Language Understanding and Computer Vision APIs.
7. Learners will be able to use the Azure Machine Learning Model Management Service to manage and deploy predictive models.
8. Finally, learners will have the capability to monitor the performance of their data science solutions on Azure.
Flexible Dates
Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.4-Hour Sessions
Training never been so convenient- attend training sessions 4-hour long for easy learning.Destination Training
Attend trainings at some of the most loved cities such as Dubai, London, Delhi(India), Goa, Singapore, New York and Sydney.Live Online Training (Duration : 32 Hours) | |||
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1. AI-102T00: Designing and Implementing a Microsoft Azure AI Solution DP-100T01 and AI-102T00 are courses focused on designing and implementing solutions on Microsoft Azure related to data science and AI, respectively Read More
DP 100 Certification course requires the following prerequisites:
- Basic data science concepts such as data cleansing, analysis, interpretation, and visualizations
- Knowledge of the data science landscape and its associated tools
- Familiarity with Azure services, core Azure architecture, and the basics of working with virtual machines
- Familiarity with database technologies and query languages such as SQL
- Experience with development languages like Python, R, etc. to handle data science tasks
- Understanding of machine learning algorithms and processes, including supervised, unsupervised, and reinforcement learning
- Experience with developing and deploying machine learning models and solutions.
DP-100 Designing and Implementing a Data Science Solution on Azure Training is an ideal training for data professionals, engineers, scientists and architects looking to broaden their skills in creating quality data science solutions on the Microsoft Azure platform
The course provides a comprehensive overview of the various data science solutions and capabilities of the Azure platform
Participants should have prior knowledge of Azure, predictive analytics and machine learning
At the end of the training, participants will have a solid understanding of designing and deploying data science solutions that are tailored to the requirements at hand
The training will empower participants to take advantage of the most innovative tools and technologies available on the Azure platform to successfully deliver data-driven solutions
Student Name | Feedback |
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Farhan Fakhrurrazi
United States |
A1. Keep it up excellent work! |
Kah Hou Lau
United States |
A1. Trainer explains step-by-step for each of the codes in the scripts which really helps us understand completely. |
Sahil Yedulla
United States |
A1. Sourabh was great at teaching and going through the modules iteratively and intuitively. |
Yichin Lew
United States |
A1. good |
Samit Lotlikar
United States |
A1. Hand on experience was valuable as the details were touched upon |
Stephen Stombaugh
United States |
A1. My instructor was very professional, highly motivated, and very much interested in teaching. He was very accommodating, and quite knowledgeable about the topics. |
Steve Pham
United States |
A1. Very knowledgeable, easy to understand, attentive to questions. I like how Jalal write-out the notes on the fly (as opposed to showing notes already written). It really helps me with with the thinking process. |
Jesse Villines
United States |
A1. Jalal Khan is very thorough in their explanation of concepts. The course was helpful in understanding AML processes and I appreciate Jalal's eagerness to provide answers to questions and interact throughout. |
Chandra Sekhar Marisetti
United States |
Yes |
Akhil Srivastava
United States |
A1. Each and every concept explained in detail |
Babatunde Adeleke
United States |
A2. Koenig is a training company, a Microsoft partner with track record of successfully training both individual and corporate bodies on different technology courses |
Ayomiposi Falola
United States |
I got to know more about machine learning environments and terminologies surrounding it on Azure. It involved lots of practical which made it more engaging and interesting. Our Trainer, Shalini Gupta, also made it look easy and fun to learn while exhibiting concrete knowledge about the course, she also attended to all questions. All these made the learning experience worth whole |
Navin Franklin
United States |
A2. learn all the course and prepare for all certified examinations |
Gayathri ragunathan
United States |
A2. Koenig provides great training courses, which I see as an opportunity to learn new concepts (especially hands on experience) and will be very helpful in clearing the Microsoft Certification Exams. |
Satheesh Thayfulle
United States |
A2. Employment. |