Mastering AI on AWS: Training AWS Certified AI-Practitioner
Building AI and Machine Learning Solutions with AWS Services: From Fundamentals to Certification Success(AI)
Building AI and Machine Learning Solutions with AWS Services: From Fundamentals to Certification Success(AI)
This comprehensive course, "Mastering AI on AWS: Training AWS Certified AI Practitioner" is designed to equip you with the knowledge and skills to excel in AI and machine learning using AWS services. Whether you're a cloud professional, developer, or AI enthusiast, this course will guide you through the fundamentals of AI and machine learning while providing hands-on experience with cutting-edge AWS AI services like Amazon SageMaker, Rekognition, Comprehend, Polly, and more.
Starting with foundational concepts of AI and machine learning, you’ll progress through practical labs, working with real-world applications such as image and video recognition, natural language processing, and recommendation systems. The course will also cover security best practices, responsible AI, and preparing for the AWS Certified AI Practitioner exam. By the end, you’ll be ready to build, deploy, and monitor AI applications on AWS and confidently pass the certification exam.
Through engaging lessons, hands-on projects, and practical exercises, this course ensures you develop both theoretical knowledge and practical skills to succeed in the growing field of AI and machine learning.
What you'll learn:
Fundamental concepts of AI, machine learning, and AWS AI services.
How to build and deploy AI applications using Amazon SageMaker, Rekognition, Comprehend, Polly, and more.
Best practices for securing AI and machine learning workflows on AWS.
How to prepare for and pass the AWS Certified AI Practitioner exam.
Who this course is for:
Cloud professionals wanting to expand into AI/ML.
AI/ML enthusiasts looking to gain practical skills using AWS services.
Aspiring data scientists and developers seeking to implement real-world AI solutions.
Students and professionals preparing for the AWS Certified AI Practitioner exam.
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Certificate of Completion
29 Xem trướcWhat will we Cover
75 Xem trướcOverview of AWS AI and ML Services
222 Xem trướcImportance of AI in Cloud Computing
167 Xem trướcIntroduction to AWS Certified AI Practitioner Exam
152 Xem trướcKey Concepts: AI, Machine Learning, and Deep Learning
166 Xem trướcPrerequisites and Exam Preparation Strategy
165What will we cover
73Overview of NLP and its Applications
141Amazon Comprehend: Sentiment Analysis, Entity Recognition, & Language Detection
205Amazon Transcribe: Speech-to-Text Transcription
172Amazon Translate: Real-Time Language Translation
138Hands-On Lab: Analyzing Text Data with Amazon Comprehend
293Designing an NLP Workflow with AWS AI Services
0What will we cover
66Introduction to Computer Vision on AWS
142Amazon Rekognition: Image and Video Analysis
225Amazon Textract: Extracting Text from Documents
187Hands-On Lab: Image and Video Processing with Amazon Rekognition
436Pitching an Automated Visual Inspection Workflow using Amazon Rekognition
0What will we cover
53Amazon Polly: Text-to-Speech Conversion
207Amazon Transcribe: Automatic Speech Recognition
223Building Real-Time Speech Interfaces on AWS
201Hands-On Lab: Building a Voice Interface with Amazon Polly
256Designing a Voice-Powered Customer Service Interface with Amazon Transcribe and Polly
0What will we cover
66Security and Compliance in AWS AI Services
190Data Encryption and Security in Machine Learning Workflows
193Monitoring and Logging in SageMaker and AWS AI Services
198Hands-On Lab: Implementing Security Best Practices for AI Services
887Securing AI Workflows: A SageMaker Deployment Audit
0Basic Knowledge of Cloud Computing: Students should have a general understanding of cloud computing concepts and experience using AWS services, such as EC2, S3, or RDS
Familiarity with Programming: A basic understanding of programming languages, especially Python, is recommended, as some hands-on labs will involve coding for machine learning and AI tasks.
Understanding of Machine Learning Fundamentals (Optional but Beneficial): While the course will cover the basics of machine learning, having prior knowledge of key ML concepts (like algorithms, training, and model evaluation) will be helpful.
AWS Account: Students will need an active AWS account to perform hands-on labs and practice with AWS AI and ML services.
Understand Key Concepts of AI and Machine Learning on AWS
Master AWS AI and Machine Learning Services
Build and Deploy AI-Powered Applications on AWS
Prepare for the AWS Certified AI Practitioner Exam
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