Building AI and Machine Learning Solutions with AWS Services: From Fundamentals to Certification Success
What you will learn
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
Add-On Information:
Get Instant Notification of New Courses on our Telegram channel.
Noteβ Make sure your ππππ¦π² cart has only this course you're going to enroll it now, Remove all other courses from the ππππ¦π² cart before Enrolling!
- Unlock the potential of artificial intelligence and machine learning by leveraging Amazon Web Services (AWS) robust cloud platform.
- Gain practical experience in architecting and implementing end-to-end AI/ML workflows, from data ingestion and preparation to model deployment and monitoring.
- Explore the foundational principles of AI and ML, understanding how these technologies are applied across various industries and use cases.
- Develop a deep understanding of AWS’s comprehensive suite of AI/ML services, including Amazon SageMaker, Amazon Rekognition, Amazon Comprehend, Amazon Textract, and Amazon Personalize.
- Learn to identify the right AWS service for specific AI/ML tasks, optimizing for performance, cost-efficiency, and scalability.
- Acquire the skills to build intelligent applications that can analyze images, process natural language, personalize user experiences, and automate complex decision-making processes.
- Master best practices for data governance, model management, and responsible AI development within the AWS ecosystem.
- Prepare thoroughly for the AWS Certified AI-Practitioner exam, gaining confidence in your ability to demonstrate core AI/ML knowledge on AWS.
- Enhance your career prospects by acquiring in-demand skills that are highly sought after in today’s technology landscape.
- Gain the ability to integrate AI/ML capabilities into existing applications, driving innovation and creating new business opportunities.
- Understand the lifecycle of an AI/ML project on AWS, from conceptualization to continuous improvement.
- Develop proficiency in using AWS tools and SDKs to interact with AI/ML services programmatically.
- Learn to evaluate and select appropriate machine learning algorithms and models for various business problems.
- Understand the ethical considerations and biases associated with AI/ML implementation and how to mitigate them on AWS.
- PROS:
- Provides a structured learning path towards a recognized AWS certification, enhancing employability.
- Offers hands-on experience with industry-leading cloud-based AI/ML services.
- Covers a broad spectrum of AI/ML applications and AWS tools.
- CONS:
- Requires a foundational understanding of AWS services to maximize learning.
English
language