Azure Data Science Course In Hyderabad
with
100% Placement Assistance
- Capstone Projects
- Industry Ready Curriculum
- Start From Foundation Level Training
Azure DataScience Course In Hyderabad
Batch Details
| Trainer Name | Bharath Sri Ram,sandeep and Dinesh sir |
| Trainer Experience | 10+ Years, 20+ Years |
| Next Batch Date | 21st January 2026 (08:30 AM IST Offline)21st January 2026(08:30 AM Online) |
| Training Modes | Classroom Training (Hyderabad), Online Training |
| Course Duration | 3 Months |
| Call us at | +91 9885044555 |
| Email Us at | genaimasters@gmail.com |
| Demo Class Details | Click Here to Chat on Whatsapp |
Azure Data Science Course In Hyderabad
Course Curriculum
What is Data Science? (Real-world use cases)
Data Science lifecycle (CRISP-DM)
Tools & roles in a data science team
What is cloud computing?
IaaS vs PaaS vs SaaS (simple examples)
Why cloud for data science?
Introduction to Microsoft Azure
Azure global infrastructure (regions, availability zones)
Azure subscriptions & resource groups
Azure pricing basics & cost management
Python refresh (NumPy, Pandas)
Data manipulation & cleaning
Working with Jupyter notebooks in Azure
Version control basics (Git/GitHub)
Experiment tracking concepts
Why reproducibility matters in ML
Azure Blob Storage
Data formats (CSV, Parquet, JSON)
Hot, Cool, Archive tiers
What is a Data Lake?
Structured vs unstructured data
Organizing data for analytics
Azure SQL Database
Basic SQL for data scientists
Querying data for ML pipelines
ETL vs ELT explained simply
Building data pipelines
Connecting on-prem & cloud data
When data becomes “big”
Introduction to Spark
Azure Synapse overview
Data profiling
Missing values & outliers
Feature understanding
Matplotlib & Seaborn
Azure Notebooks visualization
Storytelling with data
SQL pools vs Spark pools
Querying large datasets
Integrating with Data Lake
Connecting Power BI to Azure data
Dashboards vs reports
Data insights for stakeholders
Supervised vs unsupervised learning
Regression, classification, clustering
Bias-variance tradeoff
Scaling & normalization
Encoding categorical variables
Feature selection techniques
Linear & logistic regression
Decision trees & random forests
Model evaluation metrics
Azure ML workspace
Compute instances & clusters
Azure ML Studio UI
Training scripts
Experiments & runs
Logging metrics
What is AutoML?
When to use AutoML
Classification & regression AutoML
Grid search vs random search
Azure ML hyperdrive
Improving model performance
Neural network basics
Intro to TensorFlow & PyTorch
GPU usage in Azure
Bias in ML models
Interpretability (SHAP, feature importance)
Azure Responsible AI tools
What is MLOps?
Batch vs real-time inference
Containers & Docker basics
Azure ML endpoints
REST APIs for predictions
Scaling deployed models
Data drift & concept drift
Logging predictions
Automated retraining pipelines
DevOps concepts for ML
Azure DevOps + Azure ML
Model versioning
Business problem → deployed model
Data ingestion → training → deployment
Cost & performance optimization
Finance (fraud detection)
Healthcare (risk prediction)
Retail (recommendation systems)
DP-100 exam overview
Interview preparation
Azure Data Scientist career paths
Trainer Details - Azure DataScience Course In Hyderabad
Ms. Madhumathi
Principal Data Scientist & AI Strategist
10+ Years of Experience
About the Tutor
Ms. Madhumathi is a highly experienced Azure AI Engineer and MLOps Specialist with 10+ years of enterprise experience in building, deploying, and managing machine learning models on cloud platforms.
She specializes in Azure Machine Learning, MLOps pipelines, Docker, Kubernetes, CI/CD automation, and cloud AI workflows. Her expertise includes predictive analytics, NLP, deep learning, and data engineering, helping organizations convert research models into scalable production systems.
As a lead trainer, she integrates real-world Azure projects, industry case studies, and hands-on labs into the curriculum. She teaches Azure ML Studio, MLflow, GitHub Actions, Azure DevOps, Docker, Kubernetes (AKS), Python, TensorFlow, and PyTorch, enabling students to build complete end-to-end data science and AI pipelines.
Mr. Dinesh
Generative AI Authority & Principal Data Scientist
20+ years of Experience
About the Tutor
Mr. Dinesh is a senior AI & Cloud Data Science expert with 20+ years of industry experience in Machine Learning, Deep Learning, NLP, Python, R, and enterprise analytics.
He has worked on global AI projects in USA, UK, Australia, and Canada, focusing on healthcare analytics, biomedical AI, image processing, and Generative AI solutions. He specializes in Azure MLOps architecture, model deployment, monitoring, and scalable AI systems.
His training approach focuses on step-by-step concepts, real-time enterprise projects, and industry case studies. He trains students in Azure Machine Learning, Kubernetes (AKS), Terraform, Azure DevOps pipelines, MLflow, PyTorch, TensorFlow, OpenAI APIs, and Hugging Face.
As a passionate mentor, he helps students build enterprise-grade AI portfolios, problem-solving skills, and career-ready data science expertise for global job opportunities.
Why Choose us for Azure Data Science Course In Hyderabad
Expert Faculty
Our Azure Data Science program is delivered by highly experienced industry professionals with strong backgrounds in Data Science, Machine Learning, Cloud Computing, and Azure analytics services. Their real-world exposure ensures learners gain practical, job-ready skills aligned with industry standards.
Complete Curriculum
The course covers the full Azure Data Science lifecycle — from data collection and preparation to model building, deployment, and monitoring on Azure. Both foundational concepts and advanced Azure Machine Learning techniques are included to ensure comprehensive learning.
Hands-On Learning
Students participate in hands-on labs, Azure ML experiments, and real-time exercises, enabling them to apply theoretical knowledge directly on the Azure cloud platform.
Industry-Relevant Projects
Learners work on industry-aligned Azure Data Science projects, including data analysis, predictive modeling, and cloud-based ML solutions, preparing them for real-world business scenarios.
State-of-the-Art Facilities
Our institute provides access to modern lab infrastructure, licensed software, Azure cloud environments, and real-time datasets, ensuring students learn using current tools and technologies.
Personalized Support
Each student receives individual mentoring, technical guidance, and doubt-clearing sessions, creating a supportive and growth-focused learning environment.
Career Assistance
We provide resume preparation, interview training, mock interviews, and placement support, helping learners confidently transition into Azure Data Science roles.
Networking Opportunities
Students gain access to a strong professional network of industry experts, hiring partners, and alumni, supporting collaboration and long-term career growth.
Flexible Learning Options
The Azure Data Science course is available in online, classroom, and hybrid formats, making it convenient for students and working professionals.
Strong Reputation
Our institute has built a solid reputation in Hyderabad through successful student outcomes, positive feedback, and recognition from industry professionals.
Modes -Azure Data Science Course In Hyderabad
Classroom Training
- Interactive Face-to-Face Teaching
- Industry Expert Trainers
- Instant Feedback
- Collaborative Tasks
- Hands-on Industry Projects
- Group Discussions
- Covers Advanced Topics
Online Training
- Virtual Learning Sessions
- Daily Session Recordings
- Instructor Support
- Interactive Webinars
- Digital Learning Modules
- Online Practical Labs
- Flexible Learning Schedules
Corporate Training
- Customized Training Programs
- Daily Recordings
- Interactive Team Development
- Expert Instruction
- Industry-Relevant Content
- Performance Monitoring
- On-Site Workshops
What is Azure Data Science Course In Hyderabad
- Azure Data Science is a field of artificial intelligence and analytics that focuses on extracting insights from data using Microsoft Azure cloud technologies. It combines statistics, machine learning, big data, and cloud computing to analyze structured and unstructured data at scale.
- Azure Data Science uses advanced tools, algorithms, and models to process data, predict trends, and support intelligent decision-making. Instead of just analyzing historical data, it enables organizations to build predictive and intelligent systems that learn from data patterns.
- Data science solutions on Azure are powered by services like Azure Machine Learning, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Power BI. These tools help data scientists build, train, deploy, and monitor machine learning models in real-world environments. Azure Data Science is widely used across industries such as healthcare, finance, retail, manufacturing, and technology to solve complex business problems, automate processes, and improve customer experiences.
Tools Covered as part of Azure Data Science Course In Hyderabad
In Data Science training, participants usually learn to use different tools and software that are important for building and handling Data Science models. These tools include
Apache Spark–based analytics for big data processing & ML.
Ideal for large-scale data engineering, feature engineering, and model training.
Stores training data, documents, PDFs, and logs.ANDBackend for GenAI knowledge systems.
AZURE COGNITIVES SERVICES
Vision, Speech, Language, Translation, OCR APIs.
Used without training ML models from scratch.
OpenAI GPT
A powerful language model used for generating human-like text based on input data.
AZURE KUBERNETES SERVICES
POWER BI
Converts ML outputs into dashboards. AND Used by business & management teams.
AZURE MACHINE LEARNING
End-to-end platform to build, train, deploy, and manage ML models .AND Supports Python, R, AutoML, ML pipelines, and MLOps wit
AZURE SYNAPSE ANALYTICS
Combines data warehousing + big data analytics. AND Used for SQL analytics, Spark jobs, and BI integration.
Skills Develop After Azure Data Science Course In Hyderabad
- Strong skills in data analysis, data cleaning, and feature engineering
- Proficiency in Python for data science and machine learning
- Hands-on experience with Azure Storage, Azure SQL, and Data Lakes
- Experience deploying and monitoring models using Azure Machine Learning
- Understanding of cloud-based MLOps workflows
- Skills to optimize model performance and scalability
- Knowledge of data security, governance, and best practices on Azure
- Confidence in handling real-world business datasets and scenarios
Job Opportunities on Azure DataScience
Job opportunities in Azure Data Science are diverse and expanding as the technology becomes more integrated into various industries. Some key roles include
Data Scientist
Analyzes data, builds ML models, and provides insights for business decisions using Python, statistics, and AI techniques.
Develops and deploys machine learning models using Microsoft Azure tools like Azure ML, Databricks, and Data Factory.
Machine Learning Engineer
Builds scalable ML systems and integrates AI models into real-world applications and software products.
Cloud Data Analyst
Analyzes cloud-based data and creates dashboards, reports, and business insights using Power BI and SQL.
Azure ML Engineer
Designs, trains, and manages machine learning models specifically on Azure cloud infrastructure.
MLOps Engineer
Automates ML pipelines, deployment, monitoring, and retraining using Azure DevOps, Docker, and Kubernetes.
Business Intelligence (BI) Analyst
Transforms raw data into dashboards and reports to help businesses make data-driven decisions.
Data Engineer (Azure-Focused)
Builds data pipelines, manages big data systems, and processes large datasets using Azure Data Factory and Synapse.
AI & Analytics Consultant
Advises companies on AI and data strategies and helps implement analytics solutions for business growth.
Analytics Solutions Architect
Designs large-scale cloud data and AI architectures for enterprises and ensures performance, security, and scalability.
Azure Data Science Course Salaries in Hyderabad – 2026 (Expected)
Azure Data Science is rapidly expanding in Hyderabad, especially across IT companies, startups, research centers, and product-based organizations. With enterprises increasingly adopting cloud analytics and AI-driven decision-making, the demand for Azure Data Science professionals is rising sharply.
By 2026 and beyond, skills such as data analytics, machine learning, deep learning, cloud data engineering, Power BI, and Azure AI services will be highly in demand. Companies are actively looking for skilled data scientists who can build predictive models, manage big data pipelines, and deliver data-driven insights using Microsoft Azure platforms.
| Job Role | Experience | Key Skills | Expected Salary |
|---|---|---|---|
| Data Scientist | 0–3 yrs | Python, SQL, ML, Azure | ₹7–15 LPA |
| Azure Data Scientist | 1–5 yrs | Azure ML, Data Lakes | ₹10–22 LPA |
| Machine Learning Engineer | 2–6 yrs | ML, Azure ML, Python | ₹12–25 LPA |
| MLOps Engineer | 2–7 yrs | CI/CD, Azure, Docker | ₹12–26 LPA |
| Data Analyst (Azure) | 0–4 yrs | SQL, Power BI, Azure | ₹6–12 LPA |
| AI & Analytics Consultant | 5+ yrs | Azure AI, Strategy | ₹25–45 LPA |
Why Azure DataScience Salaries Are Increasing in Hyderabad
Rapid adoption of cloud-based analytics and AI
Growing demand for Azure-certified data professionals
Expansion of global IT and product companies in Hyderabad
Increasing focus on data-driven decision-making
Shortage of skilled Azure Data Science professionals
Companies That Hire
Azure Data Science Placement Program
The Azure Data Science Institute offers a complete placement support program designed to help students successfully transition into data science and cloud analytics roles. This program supports learners throughout their job search with personalized career guidance, resume preparation, and interview training, ensuring they can confidently present their Azure Data Science skills to employers.
The placement program provides access to industry connections and job opportunities through partnerships with leading IT services, cloud consulting firms, and product-based companies using Microsoft Azure.
Azure Data Science Placement Program
Intensive 3-Month Curriculum
Participate in a structured, hands-on training program with assignments and tasks designed to build strong Azure Data Science expertise.
Complete Project Execution
Gain real-world experience by implementing end-to-end Azure Data Science projects, covering data ingestion, model training, deployment, and monitoring.
Capstone Projects
Work on multiple capstone projects using Azure tools to demonstrate your ability to solve real business problems.
Practical Work Experience
Acquire hands-on exposure that prepares you for real workplace challenges in data science and cloud analytics roles.
Interview Preparation
Receive expert-led interview coaching, including technical rounds, scenario-based questions, and HR preparation.
Simulated Work Environment
Train in an environment that mirrors real industry workflows, tools, and expectations.
With this comprehensive placement program, learners are well-equipped to secure high-quality roles in Azure Data Science and analytics.
Difference between Traditional Training and Azure AI Masters
- Traditional Training
- Azure AI Masters Training
Only basic theory concepts without real-world MLOps implementation
- Very limited hands-on exposure to CI/CD, pipelines, and deployment
Advanced hands-on training with real-time industry projects
- Practical learning with live datasets and enterprise-level tools
No job support after completing the course
- Students must find jobs on their own without guidance
Guaranteed placement support after training
- Career guidance and mentoring to help you secure jobs
- Covers only generic and introductory topics
Industry-aligned curriculum with advanced and trending topics
- Course designed by industry professionals and Azure experts
Very high upfront course and material fees
- Limited or no installment-based payment options
Affordable initial fee with easy installment plans
- Flexible payment structure for students and professionals
Very few corporate hiring partnerships
- Students miss good job opportunities due to weak industry connections
Strong partnerships with top hiring companies
- Get hired by leading companies in the tech industry
Training is rushed and completed in a short time
- No structured learning roadmap
Well-structured training roadmap with step-by-step learning
- Comprehensive 3-month systematic program with online and offline support
Azure Data Science Course In Hyderabad In Hyderabad
5000+ jobs Opening Data Science
Pre-requisites to attend Azure Data Science Course In Course Online
- To get the most value from the Azure Data Science course, learners should have:
- Basic understanding of Python programming
- Familiarity with data handling and analysis concepts
- Fundamental knowledge of statistics and machine learning concepts
Azure DataScience Market Trends
- Azure Data Science is witnessing rapid growth as organizations increasingly rely on cloud-based analytics and machine learning to drive business decisions.
- Companies are moving from on-premise systems to cloud-based data platforms for scalability and cost efficiency
- Azure Data Science is widely adopted across IT services, BFSI, healthcare, retail, e-commerce, and telecom
- Growing use of machine learning models for forecasting, risk analysis, fraud detection, and customer insights
- Increased demand for real-time data processing and analytics using Azure services
- Enterprises are investing heavily in data-driven decision-making
- Azure offers integrated tools for data storage, analytics, ML, and deployment, simplifying workflows
- Strong focus on data security, governance, and compliance in cloud analytics
- The Azure Data Science job market continues to expand in enterprise and product-based companies
- Rising demand for professionals skilled in Python, ML, Azure ML, Power BI, and MLOps
- Hyderabad is emerging as a major hub for cloud analytics and Azure-based data roles
- AzureAiMasters Covers data preparation, model training, evaluation, and deployment using Azure Machine Learning
Our Great Achievements
Azure Data Science Learners Testimonials
Highlights Of Azure Data Science
- The Azure Data Science course is designed to provide a complete understanding of data analysis, machine learning, and cloud-based analytics using Azure.
- The course covers key topics such as Python for data science, statistics, machine learning, data visualization, and cloud data engineering concepts.
- Students will learn how to build, train, and deploy machine learning models on Azure for real-world business applications.
- The curriculum includes hands-on projects and industry-based case studies to strengthen practical and problem-solving skills.
- The program is delivered by highly experienced instructors who are industry experts with strong backgrounds in data science and cloud technologies.
- The course is suitable for beginners as well as working professionals who want to upskill in data science and cloud analytics.
- Flexible learning options, including online and instructor-led formats, are available to support different schedules.
- The course is suitable for beginners as well as working professionals who want to upskill in data science and cloud analytics.
- The program is delivered by highly experienced instructors who are industry experts with strong backgrounds in data science and cloud technologies.
Azure DataScience Course In Hyderabad Outline
01
Introduction to Data Science and Cloud Computing Fundamentals
02
Python Programming for Data Analysis and Machine Learning
03
Statistics and Mathematics for Data Science
04
Data Cleaning, Preparation, and Feature Engineering
05
Data Storage and Processing using Azure Services
06
Exploratory Data Analysis and Data Visualization
07
Machine Learning Model Development and Evaluation
08
Azure Machine Learning Workspace and Experiments and Model Deployment, Monitoring, and M LOPS Practices and Capstone Projects and Career Readiness Training
Certification
Certifications in Azure Data Science validate a professional’s ability to work with data analytics, machine learning, AI models, and cloud-based data solutions using Microsoft Azure. These certifications are highly recognized by enterprises because they prove hands-on expertise in building, deploying, and managing data-driven solutions in real-world environments.
Earning an Azure Data Science certification boosts your career opportunities, strengthens your technical profile, and gives you a competitive advantage in the job market. It also helps you qualify for advanced roles in cloud analytics, AI engineering, and data science research.
Here are some certifications for Data Scientist:
1.Microsoft Certified: Azure Data Scientist Associate
This certification focuses on designing, training, and deploying machine learning models using Azure Machine Learning and other Azure AI services.
2.Microsoft Certified: Azure AI Engineer Associate
Covers AI solution development using Azure Cognitive Services, Azure Machine Learning, and AI model deployment in cloud environments.
3.Microsoft Certified: Azure Data Engineer Associate
Validates skills in data pipelines, data storage, big data processing, and analytics using Azure Synapse, Data Factory, and Databricks.
4.DP-100: Designing and Implementing a Data Science Solution on Azure
Specialized certification that teaches how to build end-to-end data science workflows using Azure ML, Python, and cloud computing tools.
5.Azure Fundamentals (AZ-900)
Provides a strong foundation in Azure cloud concepts, services, security, and pricing—ideal for beginners starting a data science journey.
6.Microsoft Power BI Data Analyst Associate
Focuses on data visualization, dashboards, and business intelligence using Power BI integrated with Azure data services.
7.Azure Solutions Architect Expert (for Advanced Data Science)
Covers designing enterprise-level data architectures and AI systems on Azure cloud platforms.
If you want to learn more about Azureai certificates
Faqs
Azure Data Science is the practice of analyzing data, building machine learning models, and deploying scalable analytics solutions using Microsoft Azure tools and services.
Fresh graduates, working professionals, data analysts, software engineers, and anyone looking to build a career in cloud-based data science and machine learning.
No. The course starts with Azure fundamentals and gradually moves to advanced data science and ML concepts.
Python is the primary language used for data analysis and machine learning in Azure Data Science.
Yes. The curriculum is designed for beginners to advanced learners, with step-by-step guidance and hands-on practice.
Azure ML, Azure Storage, Azure SQL, Azure Data Factory, Azure Synapse, Power BI, and Python libraries.
Typically 3 to 6 months, depending on learning pace and project involvement.
Basic Mathematics & Statistics – Mean, probability, regression, and basic linear algebra.
Programming Basics – Python fundamentals like variables, loops, functions, and data structures.
Data Handling Skills – Excel, CSV files, Pandas, NumPy for data cleaning and analysis.
SQL Basics – Simple queries to extract and manage data from databases.
Machine Learning Basics – Understanding of regression, classification, clustering, and model evaluation.
Tools Knowledge – Jupyter Notebook, VS Code, GitHub, and basic visualization tools (Power BI/Tableau).
Computer Fundamentals – Operating system, file handling, and basic IT knowledge.
Yes. Learners work on industry-relevant, real-world Azure Data Science projects.
Azure ML is a cloud service that helps build, train, deploy, and manage machine learning models efficiently
Yes. The course includes data visualization using Python and Power BI.
MLOps focuses on automating deployment, monitoring, versioning, and retraining of ML models in production.
Yes. You’ll learn how to deploy models as APIs or batch jobs on Azure.
Yes. The curriculum is designed based on current industry demands and enterprise use cases.
Primarily Microsoft Certified: Azure Data Scientist Associate (DP-100), along with Azure Fundamentals.
Azure Data Scientist, Machine Learning Engineer, Data Analyst, MLOps Engineer, Cloud Analytics Engineer, and BI Developer.
Yes. The program includes resume preparation, interview training, and placement support.
IT services, BFSI, healthcare, retail, telecom, e-commerce, product companies, and startups.
Azure Data Science focuses on cloud scalability, automation, and enterprise-grade deployment, unlike traditional local-only workflows.
Yes. With rapid cloud adoption, Azure Data Science roles are highly in demand and offer strong career growth and salary potential.
