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DESIGNING AND IMPLEMENTING DATA SCIENCE SOLUTION ON AZURE – DP 100
Featured Review
4.1 ( 2015 Ratings )
The Designing and Implementing Data Science Solution on Azure – DP 100 course by Radical Technologies in Bangalore offers comprehensive training to master data science solutions using Azure. This certification course covers data exploration, model training, and deployment using Azure Machine Learning. With hands-on projects and expert guidance, students gain practical skills in designing scalable data science models. The program includes job assistance to help participants secure roles in the industry. Ideal for aspiring data scientists, this course equips learners with the knowledge to excel in Azure-based data science careers.
Overview
The Syllabus
Curriculum Designed by Experts
Design and prepare a machine learning solution
Design a machine learning solution
- Determine the appropriate compute specifications for a training workload
- Describe model deployment requirements
- Select which development approach to use to build or train a model
Manage an Azure Machine Learning workspace
- Create an Azure Machine Learning workspace
- Manage a workspace by using developer tools for workspace interaction
- Set up Git integration for source control
Manage data in an Azure Machine Learning workspace
- Select Azure Storage resources
- Register and maintain datastores
- Create and manage data assets
Manage compute for experiments in Azure Machine Learning
- Create compute targets for experiments and training
- Select an environment for a machine learning use case
- Configure attached compute resources, including Apache Spark pools
- Monitor compute utilization
Explore data and train models
Explore data by using data assets and data stores
- Access and wrangle data during interactive development
- Wrangle interactive data with Apache Spark
Create models by using the Azure Machine Learning designer
- Create a training pipeline
- Consume data assets from the designer
- Use custom code components in designer
- Evaluate the model, including responsible AI guidelines
Use automated machine learning to explore optimal models
- Use automated machine learning for tabular data
- Use automated machine learning for computer vision
- Use automated machine learning for natural language processing (NLP)
- Select and understand training options, including preprocessing and algorithms
- Evaluate an automated machine learning run, including responsible AI guidelines
Use notebooks for custom model training
- Develop code by using a compute instance
- Track model training by using MLflow
- Evaluate a model
- Train a model by using Python SDK
- Use the terminal to configure a compute instance
Tune hyperparameters with Azure Machine Learning
- Select a sampling method
- Define the search space
- Define the primary metric
- Define early termination options
Prepare a model for deployment
Run model training scripts
- Configure job run settings for a script
- Configure compute for a job run
- Consume data from a data asset in a job
- Run a script as a job by using Azure Machine Learning
- Use MLflow to log metrics from a job run
- Use logs to troubleshoot job run errors
- Configure an environment for a job run
- Define parameters for a job
Implement training pipelines
- Create a pipeline
- Pass data between steps in a pipeline
- Run and schedule a pipeline
- Monitor pipeline runs
- Create custom components
- Use component-based pipelines
Manage models in Azure Machine Learning
- Describe MLflow model output
- Identify an appropriate framework to package a model
- Assess a model by using responsible AI guidelines
Deploy and retrain a model
Deploy a model
- Configure settings for online deployment
- Configure compute for a batch deployment
- Deploy a model to an online endpoint
- Deploy a model to a batch endpoint
- Test an online deployed service
- Invoke the batch endpoint to start a batch scoring job
Apply machine learning operations (MLOps) practices
- Trigger an Azure Machine Learning job, including from Azure DevOps or GitHub
- Automate model retraining based on new data additions or data changes
- Define event-based retraining triggers
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Why Radical Technologies
Live Online Training
Highly practical oriented training
Installation of Software On your System
24/7 Email and Phone Support
100% Placement Assistance until you get placed
Global Certification Preparation
Trainer Student Interactive Portal
Assignments and Projects Guided by Mentors
And Many More Features
Course completion certificate and Global Certifications are part of our all Master Program
Live Classroom Training
Weekend / Weekdays / Morning / Evening Batches
80:20 Practical and Theory Ratio
Real-life Case Studies
Easy Coverup if you missed any sessions
PSI | Kryterion | Redhat Test Centers
Life Time Video Classroom Access ( coming soon )
Resume Preparations and Mock Interviews
And Many More Features
Course completion certificate and Global Certifications are part of our all Master Program
Self Paced Training
Self Paced Learning
Learn 300+ Courses at Your Own Time
50000+ Satisfied Learners
Course Completion Certificate
Practical Labs Available
Mentor Support Available
Doubt Clearing Session Available
Attend Our Virtual Job Fair
10% Discounted Global Certification
Course completion certificate and Global Certifications are part of our all Master Program
Skills Covered
Why Enroll for Red Hat Linux
Covers each topics with Real Time Examples . Covers More than 250+ Real Time Scenarios which is divided into L1 ( Basic ) + L2 ( Intermediate) and L3 ( Advanced ) . Trainer from Real Time Industry .This is completely hands-on training , which covers 90% Practical And 10% Theory
We give Combo Pack of RHEL 6 with RHEL 7 , to make sure all the candidate will get at least 5+ Year experience knowledge in Redhat Linux after attending this course.Covers SA1 + SA2 + SA3 topics in Details from the very basic to advanced level .
Complete RHCSA and RHCE Exam Preparations.Appear for Redhat Global Certification Exam At any time After the course – No need to wait to get schedule from Redhat .At your convenient time , you can book and appear for exam using our Individual Exam Delivery System called KOALA
Course benefits
Who Can Apply for Red Hat Linux
- Information Architects and Statisticians
- Developers looking to master Machine Learning and Predictive Analytics
- Big Data, Business Analysis, Business Intelligence, and Software Engineering Professionals
- Aspirants who are looking to work as Machine Learning Experts, Data Scientists, etc.
- Anyone who wants to learn machine learning, artificial intelligence, data visualization, data analytics, data structures, and algorithms (DSA).
Why Red Hat Linux
Industry Recognition
Red Hat certifications are widely recognized in the IT industry. Holding a Red Hat certification demonstrates to employers that you have the skills and knowledge needed to effectively work with Red Hat Linux systems.
High Demand for Linux Skills
Linux is a dominant operating system in the server market, particularly in enterprise environments. Many organizations, including tech giants, financial institutions, and government agencies, rely on Linux for their infrastructure. As a result, there is a high demand for professionals with Linux skills, including Red Hat Linux expertise.
Specialized Knowledge
Red Hat Linux is a popular distribution used in enterprise environments due to its stability, security, and support offerings. By gaining expertise in Red Hat Linux through a certification course, you position yourself as a specialist in this specific distribution, which can make you more attractive to employers who use or plan to use Red Hat Linux.
Job Opportunities
Holding a Red Hat certification opens up various job opportunities in roles such as Linux system administrator, DevOps engineer, cloud engineer, network engineer, and more. Many job postings in these fields specifically mention Red Hat certifications as desired or required qualifications.
Salary Potential
Professionals with Red Hat certifications often command higher salaries compared to their non-certified counterparts. Employers value certified individuals for their proven skills and expertise, leading to potentially higher earning potential.
Career Advancement
Red Hat certifications can help you advance your career by providing a clear path for skill development and progression. As you gain more advanced certifications, you become eligible for more senior roles and responsibilities within organizations.
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Global Certification
Radical Technologies is the leading IT certification institute in Bangalore, offering a wide range of globally recognized certifications across various domains. With expert trainers and comprehensive course materials, it ensures that students gain in-depth knowledge and hands-on experience to excel in their careers. The institute’s certification programs are tailored to meet industry standards, helping professionals enhance their skillsets and boost their career prospects. From cloud technologies to data science, Radical Technologies covers it all, empowering individuals to stay ahead in the ever-evolving tech landscape. Achieve your professional goals with certifications that matter.
Red Hat Linux Fees in Bangalore
Online Classroom PREFERRED
- Live Classes from IIT Faculty & Industry Experts
- Certification from IHUB IIT Roorkee
- Career Services (Mock Interviews, Resume Preparation)
- Placement Assistance upon clearing PRT
- Dedicated Learning Manage
16 jul
TUE - FRI
07.00AM TO 09.00
AM LST (GMT +5:30)
Radical
20 jul
SAT - SUN
10.00AM TO 01.00
PM LST (GMT +5:30)
Radical
20 jul
SAT - SUN
08.00PM TO 11.00
PM LST (GMT +5:30)
Radical
career services
At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalized resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career. Join us and let your journey to a successful future begin with the right support.
At Radical Technologies, we ensure you’re ready to shine in any interview. Our comprehensive Interview Preparation program includes mock interviews, expert feedback, and tailored coaching sessions to build your confidence. Learn how to effectively communicate your skills, handle technical questions, and make a lasting impression on potential employers. With our guidance, you’ll walk into your interviews prepared and poised for success.
At Radical Technologies, we believe that a strong professional profile is key to standing out in the competitive IT industry. Our Profile Building services are designed to highlight your unique skills and experiences, crafting a resume and LinkedIn profile that resonate with employers. From tailored advice on showcasing your strengths to tips on optimizing your online presence, we provide the tools you need to make a lasting impression. Let us help you build a profile that opens doors to your dream career.
Red Hat Linux Course Projects
Infrastructure Provisioning
And Configuration Management
Implementing automated infrastructure provisioning and configuration management using Ansible. This may include setting up servers, networking devices, and other infrastructure components using playbooks and roles.
Applications Deployment
And Orchestration
Automating the deployment and orchestration of applications across development, testing, and production environments. This could involve deploying web servers, databases. middleware, and other application components using Ansible
Continuous Integration
And Continuous Deployment
Integrating Ansible into CI/CD pipelines to automate software. build, test, and deployment processes. This may include automating the creation of build artifacts, running tests, and deploying applications to various environments.