Artificial Intelligence & Data Science Courses with 100% Placement 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

100%

Guaranteed Job Opportunities

4,650 *

Easy EMI PM

About Azure Data Science & AI Training Courses

The future is increasingly driven by data science and AI, and CloudThat’s data science and AI courses are designed to equip you with the essential skills required in today’s competitive job market. Our data science and artificial intelligence online courses provide the foundational expertise needed to analyze, interpret, and unlock the full potential of data and AI.

Whether you are just starting or seeking to enhance your expertise, our artificial intelligence and data science course is designed to meet all skill levels. We help you prepare for leading industry certifications, such as DP-203: Azure Data Engineer, DP-100: Azure Data Science Certification, DP-900: Azure Data Fundamentals, AI-900: Azure AI Fundamentals, AI-102: Azure AI Engineer, Generative AI certifications, and Machine Learning certifications. Open new doors to career growth with our comprehensive AI and data science course and master the exciting fields of data science and AI through expert-led training.

Key Highlights of AI and Data Science Course

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

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
  • Explore data with NumPy
  • Perform analysis using Pandas
  • Visualize data with Matplotlib
  • Examine real-world data
  • Understand Regression, Classification, Clustering and Neural Networks
  • Train and evaluate a regression and a classification model
  • Discover new regression models
  • Train and evaluate a classification model
  • Classification with alternative metrics
  • Multiclass classification
  • Improve models with hyperparameters
  • Optimize and save models
  • Train and evaluate a clustering model
  • Evaluate different types of clustering
  • Deep neural network concepts and Types
  • Train a deep neural network
  • Transfer learning
  • 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.

01

Pay INR 5,000 Registration Fees (Fully Refundable)

02

Clear Eligibility Test and Interview

03

Sign the Program Offer Letter & Contract

04

Do the Program Enrollment

05

Start CloudThat Career Transformation Process

Program fee

The entire fee for the Cloud and DevOps Job Guarantee Program can be paid in convenient installments, offering No Cost EMI benefits. Candidates have access to various payment options when enrolling in the program, making it easier to manage their finances while pursuing data science and AI courses.

EMI Starting From

INR 4,650* per month

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Why Choose CloudThat for Data Science and AI Certification Program

12+

Years in Business

750K+

Professionals Trained

350+

Projects Delivered

600+

Cloud Certifications

30+

Countries Served

500+

Workforce

Partners

FAQ's

Absolutely! Data science and AI courses are structured to suit learners from all backgrounds, including those from non-technical fields. Many programs provide introductory modules that cover the basics, making it accessible for anyone to build a strong foundation in the subject. Whether you're exploring an artificial intelligence and data science course or enrolling in an AI data science course, these programs are designed to help all learners thrive. A comprehensive curriculum ensures that even beginners can gain a deep understanding of the field.

The right course should match your goals and current skill level. Think about your interests: are you inclined toward machine learning, deep learning, or natural language processing? Explore various data science and AI courses, compare the curricula, and read reviews from previous students.

Most data science and AI courses expect learners to have a foundational understanding of mathematics, statistics, and some experience with programming (typically Python or R). However, many data science and artificial intelligence online courses offer refresher lessons or beginner modules to help students catch up if they don’t meet these prerequisites.

Online courses provide flexibility and convenience, enabling you to study at your own pace and according to your schedule. They are typically more cost-effective than traditional on-campus programs and offer access to a global network of learners and instructors. For those interested in data science and AI courses, these programs are a great way to advance your skills.

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