Azure AI Engineer Certification | Microsoft Azure AI Engineer Training

1
How to use Machine Learning in Human life
2
What is Machine Learning?

• Content
• Briefly explain that ML is a subset of AI where
  systems learn from data to make predictions or
  decisions without explicit programming.
• Mention how it's used across various industries
  to automate and enhance processes.

3
Personalized Recommendations

• Content
• How ML algorithms are used in streaming services
  (Netflix, Spotify), e-commerce (Amazon), and
  social media (Facebook, Instagram) to suggest
  content, products, or ads tailored to individual
  preferences.
• Examples Movie recommendations, music playlists,
  and shopping suggestions.

4
Virtual Assistants and Voice Recognition

• Content
• Discuss how virtual assistants like Siri, Alexa,
  and Google Assistant use natural language
  processing (NLP) and ML to understand voice
  commands.
• Highlight real-life applications like setting
  reminders, playing music, and controlling smart
  home devices.

5
Healthcare and Diagnostics

• Content
• Explain how ML is revolutionizing healthcare
  through predictive analytics, personalized
  medicine, and early diagnosis.
• Examples AI-assisted imaging for detecting
  diseases, and ML algorithms predicting patient
  health outcomes.

6
Autonomous Vehicles

• Content
• Overview of how ML powers autonomous vehicles to
  interpret sensor data (cameras, radar, LiDAR) for
  navigating roads.
• Benefits like improved safety, reduced traffic
  accidents, and efficient transport systems.

7
Fraud Detection and Security

• Content
• How ML models are used by banks and financial
  institutions to detect suspicious transactions
  and prevent fraud.
• Real-time anomaly detection in cybersecurity for
  identifying potential threats and breaches.

8
Smart Home Devices

• Content
• Discuss how ML is used in smart thermostats
  (Nest), lighting systems, and other IoT devices
  to learn user preferences and optimize energy
  usage.
• Applications like automatic scheduling, voice
  commands, and personalized settings.

9
ML in Everyday Search Engines

• Content
• Describe how search engines like Google use ML to
  improve the relevance of search results based on
  user intent and behavior.
• Examples include autocomplete suggestions,
  personalized search results, and
  question-answering features.

10
CONTACT

• Azure AI-102
• Address- Flat no 205, 2nd Floor,
• Nilgiri Block, Aditya Enclave,
• Ameer pet, Hyderabad-1 
• Ph. No 91-9989971070 
• Visit www.visualpath.in 
• E-Mail online_at_visualpath.in

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THANK YOU
Visit www.visualpath.in