CONTACT FOR DEMO CLASS : (+91) 8951869553/52alternative

Certificate Course in Azure AI Engineer Associate

This is an Azure AI Engineer Associate Certification Training Course from EarlyRise.

Azure AI Engineer Associate certification validates your expertise in designing, implementing, and managing AI solutions using Microsoft Azure's cognitive services, machine learning, and knowledge mining capabilities. This role involves building, managing, and deploying AI solutions that leverage Azure AI services, Azure Cognitive Search, and Azure OpenAI.
As organizations rapidly adopt AI technologies, there is an exponential demand for skilled professionals who can architect and implement enterprise-grade AI solutions on Azure. This certification demonstrates your ability to design conversational AI solutions, implement computer vision solutions, process natural language, and implement knowledge mining solutions.

Certificate Course in Azure AI Engineer Associate


Certificate Course in Azure AI Engineer Associate Overview

The Azure AI Engineer Associate Training Program equips learners with the skills required to design, build, deploy, secure, and scale intelligent AI solutions using Microsoft Azure. The program emphasizes hands-on exercises, real-world use cases, and end-to-end AI solution development using Azure Cognitive Services, Azure AI Search, Conversational AI, and Azure Machine Learning. This course is designed to build practical, industry-ready Azure AI skills without focusing on exam preparation, making it suitable for professionals, enterprises, and academic institutions looking to upskill in AI on Azure.

EarlyRise’s Certificate Course in Azure AI Engineer Associate Key Features
  • Instructor led online classes conducted by industry experts
  • Simulation exams
  • Hands-On based ML with Python Training
Benefits

skill Real Time Projects

skill Expert Faculty

skill Enhanced Skills

skill Improved Efficiency

skill Ethical Awareness

skill Career Advancement

skill Access to Tools

skill Ongoing Support

Course info
  • Course Date : Coming Soon
  • Time : Coming Soon
  • Duration : 40 Hours
  • Levels : Beginner
Social share

Training Options

ONLINE TRAINING

14,999

  • Learn in an instructor-led online training class
  • One to one mentorship for doubt resolution
Enroll Now

CLASSROOM TRAINING

19,999

  • Classroom based training
  • One to one mentorship for doubt resolution
Enroll Now

CORPORATE TRAINING CUSTOMIZED BASED ON YOUR REQUIREMENTS

Customized to your team's needs


  • Customized learning delivery model (self-paced and/or instructor-led)
  • Flexible pricing options
Contact Us

Digital Marketing with AI Training Course Curriculum

Eligibility

This course is ideal for software developers, data scientists, AI enthusiasts, cloud architects, DevOps engineers, and IT professionals looking to specialize in Azure AI solutions. Fresh graduates with a passion for AI and cloud computing, as well as professionals seeking to enhance their AI implementation skills on Azure, will find this course valuable. Basic understanding of Azure fundamentals and programming concepts will be beneficial.

Pre-requisites

While there are no strict prerequisites, candidates should have a basic understanding of cloud computing concepts, preferably Azure fundamentals. Familiarity with at least one programming language (Python, C#, or JavaScript) and basic knowledge of REST APIs, JSON, and HTTP protocols will be advantageous. Prior experience with machine learning concepts is helpful but not mandatory.

Course Content

1.Azure AI Engineer Role & Azure AI Landscape
2.Responsible AI & Ethical AI Practices
3.Azure Cognitive Services Fundamentals
4.Azure Language Services
5.Computer Vision & Custom Vision
6.Knowledge Mining with Azure AI Search
7.Conversational AI with Azure Bot Services
8.Azure Machine Learning for AI Engineers
9.Security, Scaling & DevOps for Azure AI
10.End-to-End Azure AI Solution Implementation

Request more information
Social share

Curriculum

Estimated Course Duration

40 Hours

Learners Commitment

8 hours per week

Get Curriculum

  • Concepts:
  • Role and responsibilities of an Azure AI Engineer
  • Overview of AI workloads on Azure
  • Azure AI services ecosystem
  • Selecting the right AI service for business needs
  • Hands-On Exercises:
  • Explore Azure Portal and Azure AI services
  • Identify AI solutions for real-world business scenarios
  • Concepts:
  • Microsoft Responsible AI principles
  • Fairness, transparency, reliability, and inclusiveness
  • Bias detection and mitigation
  • Data governance and compliance
  • Hands-On Exercises:
  • Evaluate bias in AI outputs
  • Apply Responsible AI checklist to an AI solution
  • Implement content moderation and safety controls
  • Concepts:
  • Overview of Azure Cognitive Services portfolio
  • Creating and managing AI resources
  • Pricing tiers and scalability considerations
  • Authentication: API Keys, Azure AD, Managed Identity
  • Hands-On Exercises:
  • Create Cognitive Services resources
  • Authenticate and consume services using SDKs and REST APIs
  • Concepts:
  • Text Analytics: sentiment analysis, entity recognition
  • Key phrase extraction and PII detection
  • Translator service
  • Speech Services: Speech-to-Text, Text-to-Speech, Translation
  • Hands-On Exercises:
  • Build a sentiment analysis application
  • Implement real-time translation
  • Develop speech-enabled applications
  • Concepts:
  • Image analysis and object detection
  • Optical Character Recognition (OCR)
  • Face detection and recognition
  • Custom Vision for classification and detection
  • Hands-On Exercises:
  • Analyze images using Computer Vision API
  • Extract text from documents using OCR
  • Train and deploy a Custom Vision model
  • Concepts:
  • Azure AI Search architecture
  • Indexing structured and unstructured data
  • Skillsets and enrichment pipelines
  • Semantic search
  • Hands-On Exercises:
  • Create a search index
  • Build enrichment pipelines
  • Implement semantic search
  • Concepts:
  • Azure Bot Service and Bot Framework
  • Bot Framework Composer
  • Conversational Language Understanding (CLU)
  • Multi-turn conversation design
  • Hands-On Exercises:
  • Build an intelligent chatbot
  • Train CLU models
  • Deploy bot to Teams or web channels
  • Concepts:
  • Azure ML workspace and components
  • Automated ML vs Custom ML
  • Data pipelines and model evaluation
  • Hands-On Exercises:
  • Train a model using Automated ML
  • Deploy the model as a REST API
  • Integrate the ML model into an application
  • Concepts:
  • Securing Azure AI services
  • Network security and private endpoints
  • Azure Key Vault integration
  • Containerization and AKS
  • Hands-On Exercises:
  • Secure AI resources with Key Vault
  • Containerize an AI service
  • Implement CI/CD pipelines
  • Concepts:
  • Enterprise-grade AI solution design
  • Integrating language, vision, search, and ML services
  • Monitoring and optimization
  • Hands-On Exercises:
  • Build a complete end-to-end Azure AI solution
  • Integrate multiple Azure AI services
  • Test, optimize, and deploy the final solution

TOOLS TO COVER

certificate

Professional Certificate From EarlyRise

Upon successful completion of the course, participants will receive a certificate from EarlyRise. This certificate is widely recognized and signifies that the holder has acquired specialized skills and knowledge in Azure AI. It serves as a testament to their expertise and is valued by industry professionals and employers.

Get In Touch


Program Fee and Payment Method

Program Fee : Rs. 14,999 + 18% GST = Rs. 17,699

Candidates can pay the program fee through Netbanking, Credit/Debit cards, Cheque or DD

Pay Now

Career Service

Mock Interview Preparation

EarlyRise has collaborated with industry experts to ensure you can get through the interview preparation just like the real ones.This service is free of cost for Cloud and Program.

Resume Building

Recommendation to make your resume stand out in the crowd. Qualitative feedback to customize your existing resume to nail the job you desire.

One on One Career mentoring

One-on-One sessions with personalized attention with highly experienced industry professionals to guide you on the career path that's just right for you. Precise suggestions on setting achievable short and long term goals.

Does this sound interesting to you ?

Our team will be happy to assist you make the right decision

Why Microsoft Azure Cloud Training from EarlyRise?

Industry Recognised Certification

EarlyRise Training Certificate

Certificate of Completion

Hands-On Project Based
Learning

Industry-Relevant Projects

Practical based training approach

Learn from experts active in their field

Leading industry professionals who bring current best practices and case studies to sessions that fit into your work schedule.

Nominal Course Fee

Our Course fees are very nominal and competitive. We provide Scholarship up to 50% time to time for eligible candidates.

FAQ's

All classes conducted by Expert Faculty and Industry Experts.

Yes, If you are looking for free resources then read our blogs and posts from EarlyRise.

Professionals seeking a good career can start learning this course.

Yes, sure. At the end of this course you will get a course completion certification from EarlyRise which is so beneficial for you.

Yes Definitely!
In between the course journey, you will be asked to do many assignments and homework related to your course and its useful for interview time.

Totally 40 hrs.
The total course duration will be 40 hrs but there is no rush to complete the course

Sounds exciting ?

Please fill up the form below.


Key Learning outcomes of the Course

  • Design and implement real-world Azure AI solutions
  • Build language, vision, speech, and conversational AI applications
  • Develop knowledge mining and semantic search systems
  • Train and deploy custom machine learning models
  • Apply Responsible AI, security, and scalability best practices
  • Deliver end-to-end AI solutions suitable for enterprise environments