Azure Data and AI Specialist Program with 100% Job Guarantee

Become a cloud certified expert in Data Science, AI &ML Generative AI & Microsoft Co-pilot

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240 Hours

Live Instructor-led Training

5 Live

Capstone Projects


Guaranteed Job Opportunities

4,650 *


About Azure Data Science & AI Training Courses

The future is data and AI driven. CloudThat's comprehensive data science and AI courses equip you with the in-demand skills for today's job market. Our data science and artificial intelligence online courses are designed to provide the foundational knowledge you need to analyze, understand, and harness the potential of data and AI. Whether you're a beginner or looking to advance your current skills, our training caters to all levels. Prepare for industry-recognized certifications like Microsoft Certified: Azure AI Engineer Associate or Microsoft Certified: Azure Data Scientist Associate and unlock new opportunities in the exciting fields of data science and artificial intelligence.

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Key Highlights of the program

Weekly Assessments, Hands-on Exercises

Average Salary hike up to 55% and maximum salary hike up to 250%

Mentorship by industry expert

Realtime scenario-based Capstone project

240 Hours of Live Instructor-led Training

100% Guaranteed Job Opportunities with minimum 10 Guaranteed interviews

Experiential Case Study-based Learning

Training equipped with Hands-on Labs

Successful Cloud Training and Placements Guaranteed with Industry Giants

Career Transformations

With our Azure Data and AI Specialist training and placement program, our learners made their dreams come true!

Vikash Kumar

Junior Engineer

Cloud Solution Architect

Rahul Jha

Network Engineer

DevOps Engineer

Rekha Kulkarni

Quality Analyst

Cloud Architect

Rajat Shrivastava

Network Engineer

DevOps Engineer

Mayur Patil

Sales Associate

Cloud Architect

Learners Love Us!

Don’t just take our word for it. Read some inspiring experiences from our thriving certificate holders.

Curriculum of Our Data and AI Specialist Program

  • Cloud Concepts
  • Core Azure Services
  • Security, Privacy, Compliance and Trust
  • Azure Pricing and Support
  • Identity
  • Governance and Compliance
  • Azure Administration
  • Virtual Networking
  • Intersite Connectivity
  • Network Trac Management
  • Azure Storage
  • Azure Virtual Machines
  • Serverless Computing
  • Data Protection
  • Monitoring
  • Describe Core Data Concepts
  • Describe How to Work with Relational Data on Azure
  • Describe How to work with non-relational Data on Azure
  • Introduction to Azure Machine Learning
  • No-Code Machine Learning with Designers
  • Running Experiments and Training Models
  • Working with Data
  • Compute Contexts
  • Orchestrating Operations with Pipelines
  • Deploying and Consuming Models
  • Training Optimal Models
  • Interpreting Models
  • Monitoring Models
  • Design and Implement Data Storage
  • Design and Develop Data Processing
  • Design and Implement Data Security
  • Monitor and Optimize Data Storage and Data Processing
  • Introduction to Azure Databricks
  • Training and Evaluating Machine Learning Models
  • Managing Experiments and Models
  • Integrating Azure Databricks and Azure Machine Learning
  • Describe Artificial Intelligence Workloads and Consideration
  • Describe Fundamental Principles of Machine Learning on Azure
  • Describe Features of Computer Vision Workloads on Azure
  • Describe Features of Conversational AI Workloads on Azure
  • Introduction to AI on Azure
  • Developing AI Apps with Cognitive Services
  • Getting Started with Natural Language Processing
  • Building Speech-Enabled Applications
  • Creating Language Understanding Solutions
  • Building a QnA Solution
  • Get started with Azure OpenAI service
  • Getting Started with Computer Vision
  • Developing Custom Vision Solutions
  • Detecting, Analyzing, and Recognizing Faces
  • Reading Text in Images and Documents
  • Creating a Knowledge Mining Solution
  • Introduction to Azure OpenAI Service
  • Getting Started with Azure OpenAI Service
  • Building Natural Language Solutions with Azure OpenAI Service
  • Applying Prompt Engineering with Azure OpenAI Service
  • Introduction to Copilot for Microsoft 365
  • Explore the possibilities with Copilot for Microsoft 365
  • Optimize and extend Copilot for Microsoft 365
  • Empower your workforce with Copilot
  • Power BI Fundamentals
  • Data Transformation
  • Building the Data Model
  • Visualization Workshop
  • DAX Formula Power
  • Building a Comprehensive Report
  • Sharing & Collaboration
  • Final Quiz and Q&A
  • Describe the business value of Power Platform
  • Identify the foundational components of Power Platform
  • Describe How to Build Applications with Microsoft Power Apps
  • Describe building Automation with Microsoft Power Automate
  • Describe the capabilities of Microsoft Power BI
  • Describe the capabilities of Microsoft Power Pages
  • Describe the AI authoring experience in Microsoft Power Platform

Eligibility Criteria of Our Cloud Training and Placement Program

  • Final year students from STEM background (CS, IT, Electronics) with >50% marks
  • Fresh graduates/Postgraduates in STEM (CS, IT, Electronics) with >50% marks
  • Working professionals in any non-IT role and any IT roles

How to Enroll and Get Started?

This program is designed for people with 1 - 12 years of working experience looking to move their career on most in-demand technologies and Platforms like Cloud, DevOps, Kubernetes through top certification courses with 100% job guarantee.


Pay INR 5,000 Registration Fees (Fully Refundable)


Clear Eligibility Test and Interview


Sign the Program Offer Letter & Contract


Do the Program Enrollment


Start CloudThat Career Transformation Process

Program fee

The entire Cloud and DevOps Job Guarantee Program fee can be paid in easy installments with No Cost EMI benefits. To make the program payment, candidates get the following payment options:

EMI Starting From

INR 4,650* per month

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Why Choose CloudThat?


Years in Business


Professionals Trained


Projects Delivered


Cloud Certifications


Countries Served





Absolutely! Data science and AI courses are designed to accommodate learners from all backgrounds, including non-technical fields. Many programs offer introductory modules that cover the fundamentals, making it accessible for everyone to build a strong foundation in data science and artificial intelligence.

The right course aligns with your goals and current skill level. Consider your interests: do you want to specialize in machine learning, deep learning, or natural language processing? Research different programs, compare their curricula, and look for reviews from past students. Many platforms offer free trials or introductory modules, allowing you to get a feel for the course before committing.

Most data science and AI courses assume basic mathematical and statistical knowledge, along with some programming experience (usually Python or R). However, many programs offer refresher courses or introductory modules to help you catch up if you lack any prerequisites.

Online courses offer flexibility and convenience, allowing you to learn at your own pace and schedule. They are often more affordable than traditional on-campus programs and provide access to a global community of learners and instructors.

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