AI-900: Microsoft Azure AI Fundamentals Training
Most popular Certification for Artificial Intelligence in 2023
Physical Classroom | Instructor Led Online ::
WeekEnd | Evening | Regular Class Available
AI-900: Microsoft Azure AI Fundamentals Training Course Introduction
AI-900: Microsoft Azure AI Fundamentals Training Course is prepared to give you necessary skills to get into one of the best Azure Artificial Intelligence job in 2023. Through the aid of practical applications and demos, you will enhance your skills in designing resilient, scalable infrastructure and platform solutions capable of generating value throughout the solution life cycle.
Key Benefits
Why should yo go for Artificial Intelligence Training?
Most in demend skills in 2023.
30 Hours of live Instructor Led Training.
Microsoft Certification exam AI-900
Capstone Project with latest skills
Integrated with Azure Portal
Job search & Interview Preparation via Own Portal
AEM Students are working globally ..
RedHat | TCS | Wipro | CTS | Accenture | Deloitte | Amazon | PWC | Ericsson and many more.....
This course is for
- Developers & App Integrators
- Solution Architects
- Project Managers
- DevOps Engineers
- Computer Science Freshers
What you will Learn in Artificial Intelligence Training?
Section 1: Identify features of common AI workloads
- identify features of anomaly detection workloads
- identify computer vision workloads
- identify natural language processing workloads
- identify knowledge mining workloads
Section 2: Identify guiding principles for responsible AI
- describe considerations for fairness in an AI solution
- describe considerations for reliability and safety in an AI solution
- describe considerations for privacy and security in an AI solution
- describe considerations for inclusiveness in an AI solution describe considerations for transparency in an AI solution
- describe considerations for accountability in an AI solution
Section 3: Identify common machine learning types
- identify regression machine learning scenarios
- identify classification machine learning scenarios
- identify clustering machine learning scenarios
Section 4: Describe core machine learning concepts
- identify features and labels in a dataset for machine learning
- describe how training and validation datasets are used in machine learning
- automated machine learning
- Azure Machine Learning designer
Section 5: Identify common types of computer vision solution
- identify features of image classification solutions
- identify features of object detection solutions
- identify features of optical character recognition solutions
- identify features of facial detection, facial recognition, and facial analysis solutions
Section 6: Identify Azure tools and services for computer vision tasks
- identify capabilities of the Computer Vision service
- identify capabilities of the Custom Vision service
- identify capabilities of the Face service
- identify capabilities of the Form Recognizer service
Section 7: Identify features of common NLP Workload Scenarios
- identify features and uses for key phrase extraction
- identify features and uses for entity recognition
- identify features and uses for sentiment analysis
- identify features and uses for language modeling
- identify features and uses for speech recognition and synthesis
- identify features and uses for translation
Section 8: Identify Azure tools and services for NLP workloads
- identify capabilities of the Language service
- identify capabilities of the Speech service
- identify capabilities of the Translator service
Section 9: Identify considerations for conversational AI solutions on Azure
- identify features and uses for bots
- identify capabilities of the Azure Bot service
Section 10: Artificial Intelligence Project
- Learn and Identify Project Requirements
- Concepts of CI/CD with AI
- Build your own Artificial Intelligence Project
Upcoming Azure AI-900 Training Class in kolkata AEM
| Start Date | Class Timing | Course Duration | Course Fees |
|---|---|---|---|
| 11th March 2023 | 10am-1pm [WeekEnd] | Three Months | INR 14,950/- |
| 21st March 2023 | 7:30am-9:30am [Tue-Thu] | Three Months | INR 14,950/- |
| 26th March 2023 | 1pm-4pm [WeekEnd] | Three Months | INR 14,950/- |
| 8th April 2023 | 7:30pm-9:30pm [WeekEnd] | Three Months | INR 14,950/- |
- For customized class schedule
Benefits of Learning AZURE Cloud
- Azure is the most stable cloud in Microsoft Technology domain which has a variety of features and high stability.
- Azure has a significant share in the global cloud computing market.
- Most demanding cloud for Active Directory based solution.
- Azure has a more mature model of infrastructure in comparison to other cloud computing services.
- Azure Administration provides more job opportunities than normal system administration.
Artificial Intelligence training in kolkata for AI-900: FAQs
How much does Azure Artificial Intelligence course cost in Kolkata?
It costs you INR 14,950/- which is payable in EMI and it includes 100% Hands On Lab, Projects.
Where I can find Azure Artificial Intelligence Training Course Classroom Training in Kolkata?
AEM Institute provides 100% Live Instructor Led virtual classroom Training and Physical Classroom Training in kolkata for AI-900 Certification course.
Which companies providing AI Jobs in 2023?
All Tech Giants are looking for skilled manpower in Artificial Intelligence in 2023. These companies and many others are actively involved in developing and implementing artificial intelligence solutions, and they are always looking for talented individuals to join their teams. Most of the Indian MNCs and startups are also in the same track so it is becoming a rewarding career in coming future.
Are your instructors experienced enough?
All the instructors at AEM are industry experts with a minimum of ten to fifteen years of experience in their relevant fields. They are also further trained by AEM to provide a smooth learning experience to the participants.
Do you provide a course completion certificate?
Of course, we do. We will provide you with a certificate based on a few parameters like exam performance, session attendance, etc. upon the completion of your course.