Azure AI Course In Hyderabad
with
100% Placement Assistance
- 3-Month Online
- Classroom Training with Real-Time Projects,
- Internship Support & Placement Assistance Until You’re Placed
| 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 AI Course Curriculum
- What is Artificial Intelligence & Machine Learning
- Azure AI ecosystem overview
- Azure AI vs AWS AI vs Google AI
- Real-world AI use cases
Azure AI services categories
- Azure portal & resource groups
- Regions, subscriptions, pricing basics
- Azure identity & access (IAM)
- Azure storage basics
AI workloads architecture
- Cognitive Services overview
- Azure OpenAI overview
- Azure Machine Learning overview
- Decision services & analytics
Responsible AI principles
- Optimization, Derivatives, Function, Probability,
- Scalar-Vector-Matrix, Vector Operation, Vector spaces.
- Python fundamentals for AI
- Libraries: NumPy, Pandas
- Working with Azure SDK
- Virtual environments
Jupyter notebooks
- Vision, Speech, Language, Decision services
- REST APIs & SDK usage
- Authentication & keys
- Endpoint management
Cost optimization
- Image analysis
- OCR (text extraction)
- Image tagging & description
- Face detection basics
Real-time image processing
- Face detection & recognition
- Face verification
- Emotion detection
- Privacy & ethics
Real-world applications
- Speech-to-text
- Text-to-speech
- Speech translation
- Custom voice models
Voice-enabled applications
- Text analytics
- Sentiment analysis
- Key phrase extraction
- Entity recognition
Language detection
- Text translation
- Document translation
- Speech translation
- Multi-language apps
Global deployment strategy
- Knowledge base creation
- FAQ bots
- Custom QnA models
- Integration with chatbots
Performance tuning
- Text moderation
- Image moderation
- Video moderation
- Policy configuration
Compliance scenarios
- Recommendation systems
- Reinforcement learning basics
- Personalization APIs
- User behavior modeling
A/B testing
- GPT, DALL·E, Codex models
- Azure OpenAI vs OpenAI
- Model deployment
- Prompt structure
Token & cost management
- Prompt design techniques
- System vs user prompts
- Few-shot & zero-shot learning
- Prompt chaining
Prompt optimization
- Chat completion APIs
- Memory handling
- Context management
- Integration with web apps
Enterprise chatbot design
- DALL·E image creation
- Image editing & variations
- Responsible image usage
- Branding & creative use cases
Automation workflows
- AI-powered document generation
- Email & marketing automation
- Code generation use cases
- AI copilots
Enterprise productivity tools
- Workspace creation
- Compute instances
- ML lifecycle
- Experiment tracking
ML pipelines
- Data labeling
- Feature engineering
- Data versioning
- Data validation
Dataset management
- Regression models
- Classification models
- Clustering
- AutoML
Hyperparameter tuning
- Accuracy, precision, recall
- Confusion matrix
- ROC curves
- Bias detection
Responsible AI dashboard
- Real-time endpoints
- Batch inference
- REST APIs
- Containerization
Scaling strategies
- CI/CD pipelines
- Model versioning
- Monitoring models
- Drift detection
Azure DevOps integration
- Data encryption
- Model security
- Identity management
- Compliance (GDPR, HIPAA)
Risk mitigation
- Azure OpenAI chatbot
- FAQ automation
- Web integration
- Logging & analytics
Deployment
- OCR-based document scanner
- Face recognition system
- Image classification app
- Real-time use case
Performance tuning
- End-to-end ML pipeline
- Data → Model → API
- Business use case
- Cost optimization
Monitoring
- Azure AI Engineer roadmap
- AI-900 & AI-102 overview
- Resume & portfolio guidance
- Interview preparation
Freelancing & enterprise roles
Trainer Details - Azure AI Course In Hyderabad
Ms. Madhumathi
Principal Azure AI Engineer & Generative AI Strategist
10+ Years of Experience
About the Tutor
Ms. Madhumathi is a highly experienced Data Scientist and Azure AI specialist, with deep expertise in Generative AI, Azure OpenAI, Prompt Engineering, and Machine Learning on Azure. With over a decade of hands-on industry experience, she has worked extensively on predictive modeling, data preparation, NLP, and enterprise AI solution development using Microsoft Azure platforms.
As a lead trainer and industry mentor, she focuses on enabling learners to design, build, and deploy real-world Azure AI applications using Azure Cognitive Services, Azure Machine Learning, and Azure OpenAI APIs. Her training methodology blends strong conceptual clarity with hands-on, enterprise-grade project exposure.
She brings practical expertise in tools and technologies such as Python, Azure ML Studio, Azure OpenAI APIs, REST APIs, and MLOps pipelines, helping learners confidently apply AI across business, marketing, and technology domains. Her approachable teaching style, real-time demos, and project-driven guidance ensure learners are job-ready and industry-confident.
Mr. Dinesh
Generative AI Authority & Principal Data Scientist
20+ years of Experience
About the Tutor
Our tutor is an Azure AI Specialist and Lead Data Scientist with strong expertise in Machine Learning, Deep Learning, Natural Language Processing (NLP), and Generative AI, supported by advanced Python programming and analytical skills.
He has a proven ability to explain complex AI concepts in a simple and learner-friendly manner, making them accessible to students from diverse backgrounds. His teaching approach focuses on step-by-step learning, real-time Azure AI projects, and industry-level case studies, ensuring a balance of strong theoretical understanding and practical hands-on experience.
With extensive experience in the healthcare and medical domains, he has successfully delivered and managed AI projects across the US, UK, Australia, and Canada. His expertise includes Azure AI–based image processing solutions, such as disease detection and medical imaging applications using Generative AI and Azure Computer Vision services.
Why Choose us for Azure AI Course In Hyderabad
Expert Faculty
Azure Ai Masters has a team of experienced instructors who are industry experts in azure AI. Their deep knowledge and practical experience ensure high-quality training.
Complete Curriculum
Covers Azure AI fundamentals, Generative AI with Azure OpenAI, advanced AI techniques, and enterprise-level solution design.
Hands-On Learning
Includes live labs, real-time implementations, and project-based learning using Azure AI services.
3. Industry-Oriented Projects
Learners work on practical projects and case studies inspired by real enterprise applications.
State-of-the-Art Facilities
The institute is equipped with advanced technology and software necessary for Generative AI training, ensuring that students have access to the latest tools and resources.
5. Personalized Mentoring
One-on-one guidance to address learning gaps and align training with career goals.
Career & Placement Support
Resume building, certification guidance, mock interviews, and job assistance.
Strong Professional Network
Connect with Azure AI professionals, industry experts, and alumni communities.
Flexible Learning modes
Online, classroom, and hybrid options for working professionals and students.
Strong Reputation
Recognized as a leading Azure AI and Generative AI training institute in Hyderabad.
Modes - Azure AI Course In Hyderabad
Classroom Training
- Engaging Face-to-Face Learning
- Learn from Industry Experts
- Immediate Feedback
- Collaborative Learning Activities
- Practical Industry Projects
- Interactive Group Discussions
- Exploration of Advanced Topics
Online Training
- Live Virtual Classes
- Daily Session Recordings
- Ongoing Instructor Assistance
- Engaging Online Webinars
- Digital Learning Resources
- Practical Online Labs
- Flexible Scheduling Options
Corporate Training
- Tailored Training Solutions
- Daily Access to Recordings
- Interactive Team-Building
- Expert-Led Instruction
- Industry Relevant Curriculum
- Progress Tracking
- On-Site Training Workshops
What is Azure AI
Azure AI is Microsoft’s cloud-based artificial intelligence platform
It enables organizations to build, deploy, and manage intelligent applications on Azure
Provides scalable, secure, and enterprise-ready AI services
Supports automation by enabling machines to learn, reason, and make decisions
Handles text, image, speech, and video intelligence
Azure OpenAI powers Generative AI applications such as chatbots, content generation, and code assistance
Azure Cognitive Services offer ready-made AI capabilities without building models from scratch
Enables image analysis, OCR, document processing, and intelligent data extraction
Azure AI enables intelligent data analysis and accurate predictions by leveraging machine learning and advanced analytics capabilities.
Azure AI seamlessly connects with other Azure services, ensuring smooth integration with storage, security, databases, and applications.
Azure AI supports both real-time processing and batch-based workloads, making it ideal for live systems as well as offline data processing.
If you want to learn more about Azure Ai
Tools Used in Azure AI Course In Hyderabad
In Azure AI training, participants usually learn to use different tools and software that are important for building and handling Azure AI models. These tools
Azure OpenAI provides powerful AI models (GPT, embeddings, image models) through secure APIs.
AZURE BOT SERVICES
A library that provides pre-trained models and tools for natural language processing and other generative tasks.
AZURE DATABRICKS
Jupyter Notebooks
AZURE SPEECH
AZURE COMPUTER VISION
AZURE COGNITIVE SERVICES
Skills Develop After Azure AI Training In Hyderabad
- Azure Cloud & AI Architecture Knowledge Strong understanding of Microsoft Azure platform, AI services, and cloud infrastructure design.
- Machine Learning Expertise Ability to build, train, evaluate, and optimize machine learning models for real-world use cases.
- Deep Learning & Neural Networks Knowledge of deep learning concepts, neural networks, and frameworks like TensorFlow and PyTorch.
- Generative AI & Large Language Models (LLMs) Hands-on experience with Azure OpenAI, GPT models, and AI-powered content generation.
- Prompt Engineering & AI Interaction Design Professional skills in designing effective prompts and AI workflows for automation and business applications.
- Python for AI & Data Science Advanced Python programming skills for AI development, data processing, and automation.
- Data Engineering & Preprocessing Expertise in data cleaning, transformation, feature engineering, and dataset management.
- AI Application Development Building intelligent applications such as chatbots, recommendation systems, and AI-powered tools.
Job Opportunities on Azure AI Training In Hyderabad
Job opportunities in Azure AI and Generative AI are rapidly expanding as cloud-based AI technologies become deeply integrated across multiple industries. Key roles include Azure AI Engineer, Azure Machine Learning Engineer, Generative AI Developer, Prompt Engineer, Data Scientist, MLOps Engineer, NLP Engineer, and Azure AI Consultant, offering strong career growth and high demand in the Azure cloud ecosystem.
Azure AI Research Scientist – Conducts research to develop and enhance Azure-based AI and Generative AI models, including advanced deep learning and LLM systems.
Azure Machine Learning Engineer – Designs, trains, and deploys machine learning and Generative AI models using Azure Machine Learning, Python, and deep learning frameworks.
Azure Data Scientist – Analyzes large datasets and builds predictive and Generative AI solutions using Azure AI tools to generate business insights.
Azure AI Developer – Creates AI-powered applications using Azure OpenAI, Cognitive Services, and REST APIs for text, image, and automation solutions.
Azure Computer Vision Engineer – Develops image and video analysis solutions using Azure Vision services for object detection, OCR, and visual intelligence.
Azure NLP Engineer – Builds language-based AI systems using Azure Language Services for chatbots, text generation, and conversational AI applications.
Azure AI Product Manager – Manages AI product development, strategy, and deployment using Azure AI platforms and enterprise cloud solutions.
Azure AI Consultant – Advises organizations on implementing Azure AI solutions to improve processes, automation, and digital transformation.
AI Ethics and Compliance Specialist (Azure AI) – Ensures Azure AI applications follow ethical, legal, and compliance standards for responsible AI usage.
- Azure AI Trainer / Instructor – Provides training and guidance on Azure AI technologies to students, professionals, and corporate teams.
Azure AI Salaries in Hyderabad – 2026 (Expected)
Azure AI and Generative AI technologies are rapidly expanding in Hyderabad, with strong adoption across IT companies, startups, research organizations, and product-based enterprises. By 2026, the demand for skilled professionals in Azure OpenAI, LLM development, prompt engineering, machine learning, deep learning, and cloud-based AI engineering is expected to grow significantly, creating vast career opportunities in the Azure AI ecosystem.
| Job Role | Experience Level | Skills Required | Expected Salary (2026) | Who Hires in Hyderabad |
|---|---|---|---|---|
| Azure AI Engineer | 0–3 years | Python, Azure AI Services, Azure OpenAI, NLP, ML basics | ₹8–18 LPA | TCS, Infosys, Wipro, Amazon, Google |
| Azure Machine Learning Engineer | 1–5 years | Azure ML Studio, model training, Python, TensorFlow, PyTorch | ₹10–22 LPA | Microsoft, Accenture, Deloitte |
| AzureGenerative AI Developer | 1–6 years | Azure OpenAI, GPT models, RAG, vector databases, fine-tuning | ₹12–28 LPA | Startups, Product companies |
| AzurePrompt Engineer | 0–4 years | Prompt engineering, LLM behavior, Azure OpenAI APIs, NLP | ₹8–20 LPA | AI startups, Marketing tech companies |
| Azure Data Scientist (AI + ML) | 2–7 years | Statistics, Azure ML, deep learning, data modeling | ₹12–30 LPA | BFSI, Healthcare, Enterprise Companies |
| Azure AI Research Scientist | 3–10 years | Advanced deep learning, LLM research, model experimentation | ₹20–50 LPA | Research labs, MNCs, Universities |
| Azure NLP Engineer | 1–6 years | Azure Language Services, transformers, embeddings | ₹10–25 LPA | Product companies, SaaS firms |
| Azure AI Product Manager | 4–12 years | AI product strategy, Azure solutions, stakeholder management | ₹25–60 LPA | Product-based companies |
| Azure ML Ops Engineer | 2–7 years | CI/CD for ML, cloud, Docker, Kubernetes | ₹12–26 LPA | Cloud companies, AI platforms |
| Azure AI Consultant | 5+ years | AI strategy, Azure AI integration, enterprise solutions | ₹30–70 LPA | Big 4, IT Consulting Firms |
Why Azure AI Salaries Are Increasing in Hyderabad
Companies are adopting Azure AI automation
High demand for Azure AI developers & prompt engineers
Hyderabad is emerging as an Azure AI innovation hub
Global tech companies are launching Azure AI labs
Shortage of skilled Azure AI experts increases salaries
Companies That Hire
Azure AI Placement Program
Azure AI Masters Institute offers a Complete placement program designed to support students of its Generative AI training in securing rewarding job opportunities. The program includes personalized career counseling, resume building, and interview preparation to help candidates effectively showcase their skills to potential employers.
Additionally, the institute provides access to a network of industry connections and job openings through partnerships with leading tech companies.
The placement program also features job fairs, recruitment drives, and networking events where students can meet with recruiters and industry professionals. With a focus on aligning individual career goals with market opportunities. Generative AI Institute aims to ensure that graduates are well-prepared to enter the competitive field of generative AI and advance their careers.
Generative AI Placement Program
Intensive 3-Month Curriculum: Engage in a rigorous, hands-on training program complete with assignments and tasks designed to build deep expertise.
Complete Project Execution: Gain real-time experience by implementing end-to-end projects that mirror industry practices.
Capstone Projects: Work on multiple capstone projects to solidify your skills and showcase your capabilities in Generative AI.
Practical Work Experience: Acquire hands-on experience that prepares you for the challenges of a professional environment.
Interview Preparation: Receive expert guidance to excel in job interviews, with focused preparation on key topics and scenarios.
Simulated Work Environment: Immerse yourself in a realistic work environment that prepares you for the demands of the industry.
With this comprehensive program, you’ll be well-equipped to secure a top-tier position in the competitive job market.
Difference between Traditional Training and AZURE AI Masters
- Traditional Training
- Azure AI Masters Training (Our Program)
Only Basic Theory-Based Learning
- Training mainly focuses on theoretical concepts with minimal real-world implementation.
Advanced Hands-On Azure AI Training
- Learn Azure Machine Learning, Azure OpenAI, Cognitive Services, AI Studio, and real enterprise use cases with live demos and labs.
Very Limited Practical Exposure
- Students rarely work on real-time projects or enterprise-level AI use cases.
100% placement assistance
- Full support including resume building, mock interviews, job referrals, and recruiter connections.
No Job Guarantee
- After course completion, students must find jobs on their own without placement support.
Industry Ready Curriculum
- Designed by AI industry experts with latest cloud AI tools, GenAI models, and enterprise workflows.
Basic & Outdated Curriculum
- The syllabus covers generic AI topics and lacks modern Azure AI tools and cloud integrations.
Flexible Payment Options
- Pay a small initial fee and the remaining amount in easy monthly installments.
High One-Time Course Fee
- Students must pay the entire fee upfront without flexible payment options.
Top Hiring Partner Companies
- Get exposure to MNC hiring partners and corporate job opportunities in AI and Cloud domains.
Limited Corporate Partnerships
- Few or no hiring tie-ups with companies, reducing placement opportunities.
Structured 3-Month Training Program
- Step-by-step learning path with online & offline support, mentorship, and career guidance.
AzureAI Training In Hyderabad
5000+ jobs Opening for Azure Ai
![]Azure AI Training In Hyderabad - Jobs In Hyderabad - Indeed](https://azureaimasters.in/wp-content/uploads/2026/01/Azure-AI-Training-In-Hyderabad-Jobs-In-Hyderabad-Indeed--1024x469.png)
Pre-requisites to attend Azure AI Course Online
- Basic Computer Knowledge Ability to use a computer, internet, email, files, folders, and common software applications confidently for learning and practice.
- Programming Fundamentals (Python) Basic understanding of Python concepts like variables, conditions, loops, and simple functions to work with Azure AI tools and APIs.
- Mathematics & Logical Thinking Basic math skills such as averages, simple statistics, and logical reasoning to understand how AI models analyze data.
- AI & Machine Learning Basics Clear idea of what Artificial Intelligence, Machine Learning, Deep Learning are, and how models are trained and used for predictions.
- List ItemData Handling Knowledge Understanding of Excel/CSV files, basic data reading, and simple data cleaning concepts used in AI projects.
Azure AI Market Trends
- Companies are rapidly moving to cloud-based AI platforms to automate processes and improve productivity. Azure with AI is widely adopted for its scalability and reliability.
- There is a strong demand for professionals who can build, deploy, and manage AI solutions on the cloud. Azure AI skills are becoming essential in modern IT roles.
- Enterprises are using Azure AI for data-driven decision making, predictive analytics, and automation across departments. This increases the need for skilled AI cloud engineers.
- Startups and product companies prefer Azure AI to reduce infrastructure costs and speed up development. Cloud AI helps them launch intelligent products faster.
- Industries like banking, healthcare, retail, and manufacturing are adopting AI-powered cloud applications to stay competitive. Azure AI supports secure and compliant solutions.
- Organizations are shifting from traditional software to intelligent, AI-enabled cloud systems. This trend is creating long-term career opportunities.
- Professionals with Azure AI certifications gain better job visibility, higher salaries, and faster career growth. Certified skills are trusted by employers.
- Azure with AI is considered a future-proof technology combination, as cloud and AI continue to grow together
Azure AI Masters achievements
Our Great Achievements
Azure AI Learners Testimonials
Highlights Of Azure AI Course
- Azure AI is a comprehensive Artificial Intelligence platform from Microsoft that enables organizations to build, deploy, and manage intelligent solutions on the Azure cloud.
- It offers a wide range of prebuilt AI services, including computer vision, speech recognition, language understanding, and decision-making capabilities.
- Azure OpenAI Service supports Generative AI models such as GPT, enabling chatbots, content generation, and intelligent assistants.
- Azure AI allows developers to integrate AI features into applications using simple APIs without building models from scratch.
- Azure Machine Learning provides tools for data preparation, model training, evaluation, and deployment at scale.
- The platform integrates seamlessly with other Azure services such as storage, databases, security, and DevOps tools.
- It supports enterprise-grade security and compliance standards required by regulated industries.
- Azure AI enables low-code and no-code development options for faster innovation.
- Azure AI helps reduce development time and operational costs with scalable cloud infrastructure.
- Azure AI prepares professionals for high-demand roles in AI engineering, machine learning, and cloud-based AI development.
Azure AI Masters Course Outline
01
Real-world project implementation including AI chatbots, computer vision, speech recognition, and predictive analytics
02
Curriculum aligned with AI-102 (Azure AI Engineer Associate) and AZ-900 (Azure Fundamentals)
03
Step-by-step learning of Generative AI and Prompt Engineering using Azure OpenAI
04
Hands-on experience in model training, evaluation, and deployment on Azure
05
Design and deployment of complete AI solutions for real business scenarios
06
Strong focus on Responsible AI, security, privacy, and compliance best practices
07
Live instructor-led sessions with continuous doubt-clearing and mentorship andFlexible learning modes: online, classroom, weekday, and weekend batches
08
Dedicated placement support including resume preparation, mock interviews, and interview guidance and Industry-recognized course completion and project experience certification
Certification
Azure AI certifications validate a professional’s ability to design, develop, and deploy intelligent applications using Microsoft Azure’s powerful AI ecosystem. These certifications are highly regarded by enterprises, as they demonstrate strong expertise in Azure Cognitive Services, Azure OpenAI (Generative AI models such as GPT), and Azure Machine Learning, enabling the creation of scalable, secure, and responsible AI-driven solutions across diverse industries.
Earning an Azure AI certification provides a strong competitive advantage in the job market and opens doors to advanced roles such as Azure AI Engineer, Generative AI Developer, Cloud AI Architect, and Enterprise AI Consultant.
Here are some certifications for Azure AI:
1.AZ-900 – Azure Fundamentals: Entry-level certification covering basic cloud concepts and core Azure services.
2.AI-102 – Azure AI Engineer Associate: Focuses on designing, building, and deploying AI solutions using Azure AI services.
3.DP-100 – Azure Data Scientist Associate: Validates skills in building, training, and deploying machine learning models on Azure
4.AZ-204 – Azure Developer Associate: Demonstrates expertise in developing, deploying, and maintaining cloud applications on Azure.
5.AZ-305 – Azure Solutions Architect Expert: Confirms advanced skills in designing secure, scalable, and cost-effective Azure architectures
7.DP-900 – Azure Data Fundamentals: Introduces core data concepts including relational, non-relational, and analytics workloads on Azure.
Faqs
The Azure AI Placement Program is a job-oriented training and career support initiative designed to help learners secure roles in Azure AI, Generative AI, and cloud-based AI engineering.
Freshers, graduates, working professionals, developers, data analysts, and IT professionals interested in Azure AI and Generative AI can join the program.
No prior experience is mandatory. The program starts from fundamentals and gradually moves to advanced Azure AI concepts.
The program prepares learners for roles such as Azure AI Engineer, Generative AI Developer, Machine Learning Engineer, AI Analyst, and Cloud AI Specialist.
Yes. Learners work on real-world Azure AI projects such as chatbots, computer vision solutions, NLP applications, and predictive models.
Yes. You will get practical access to Azure AI services, Azure Machine Learning Studio, and Azure OpenAI environments.
Yes. The curriculum is aligned with AI-102 (Azure AI Engineer Associate) and AZ-900 (Azure Fundamentals) certifications.
Yes. We provide placement support including job referrals, interview scheduling assistance, and career guidance.
.
Placements depend on individual performance, skills, and interview results. However, we provide strong support to improve placement success.
Yes. We help create ATS-friendly resumes and AI project portfolios tailored for Azure AI job roles.
Yes. Multiple mock interviews are conducted with detailed feedback to improve technical and communication skills.
Startups, IT services companies, product-based firms, healthcare organizations, and MNCs using Microsoft Azure AI hire Azure AI professionals.
Yes. Flexible learning options including online, weekend, and weekday batches are available.
Yes. The program includes step-by-step training on Generative AI, Azure OpenAI, and prompt engineering.
Yes. Responsible AI concepts such as fairness, privacy, security, and ethical AI usage are covered.
Yes. Learners receive a course completion and project experience certificate after successfully completing the program.
Placement support is provided until you get placed or for a defined support period as per the program terms.
Basic programming knowledge is helpful, but the program also supports low-code and guided development approaches.
Yes. The program is designed to help beginners and professionals transition into Azure AI and Generative AI roles.
By providing hands-on Azure AI experience, real-time projects, certification alignment, and interview preparation, the program significantly improves job readiness and career growth.
