Description
The following topics will be covered as part of Azure AI Fundamentals certification Course .
Module 1 - AI Workloads and Considerations
AI workloads
- Computer vision
- Natural language processing
- Conversational AI
- Document processing
- Generative AI
Responsible AI principles
- Fairness
- Reliability and safety
- Privacy and security
- Inclusiveness
- Transparency
- Accountability
Module 2 - Machine Learning Fundamentals
ML concepts
- Regression
- Classification
- Clustering
- Deep learning
- Neural networks
ML process
- Features and labels
- Training vs validation datasets
- Model evaluation
Azure tools
- Azure Machine Learning
- Automated ML
- ML pipelines
Module 3 - Computer Vision Workloads
Computer vision enables machines to understand images and videos.
Topics
- Image classification
- Object detection
- Optical Character Recognition (OCR)
- Face detection
- Video analysis
Azure services
- Azure AI Vision
- Azure Face API
- Form Recognizer
- Video Analyzer
Module 4 - Natural Language Processing (NLP) Workloads
NLP enables machines to understand human language.
Topics
- Text analysis
- Sentiment analysis
- Language translation
- Entity recognition
- Speech recognition
Azure services
- Azure AI Language
- Azure AI Speech
- Translator service
- Azure Bot Service
Module 5 - Generative AI Workloads
This is the newest and fastest-growing section.
Topics
- Generative AI concepts
- Large Language Models (LLMs)
- Prompt engineering
- Generative AI use cases
Azure services
- Azure OpenAI Service
- Azure AI Foundry
- Foundation models catalog
Azure AI Services You Should Know
Common services referenced in the exam:
- Azure Machine Learning
- Azure AI Vision
- Azure AI Speech
- Azure AI Language
- Azure Bot Service
- Azure OpenAI
These tools allow developers and businesses to build AI solutions such as chatbots, translation systems, and image recognition apps.
This certification is helpful for:
- AI Product Manager
- Cloud Consultant
- Business Analyst
- AI Consultant
- Solution Architect (entry level)
AI Market Projections:
*19M+ AI jobs projected globally by 2030 (World Economic Forum).
*$632B – Estimated global AI spend by 2028 (IDC Research).
*86% Enterprises ranking AI and big data as top-priority skills(Dremio).
*The AI infrastructure market (servers, data centers, software) is expanding quickly — projected to grow from ~$32 billion in 2025 toward ~$350 billion by 2035, with roughly ~27% annual growth.
Duration & Timings :
Total Hours – 30 Hours.
Training Type: Online Live Interactive Session.
Faculty: Experienced.
Access to Class Recordings.
Schedule:
Weekend Session – Sat & Sun 9:30 AM to 12:30 PM (EST) – 7 Weeks. Saturday, April 18, 2026.
Weekday Session – Mon – Thu 8:30 PM to 10:30 PM (EST) – 5 Weeks. May 4, 2026.
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USA: +1 734 418 2465 | India: +91 7416031568
+91 7416031568
+1 734 418 2465
info@learntek.org
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