Learning Objectives
Fundamentals of AI and ML
[25%] Explain core AI and ML concepts, including types of learning (supervised, unsupervised, reinforcement), data types, and practical use cases.
Introduction to Generative AI
[15%] Describe foundational generative AI concepts, including large language models (LLMs), prompt engineering, and common use cases.
Machine Learning Lifecycle and Operations
[20%] Understand the stages of the ML lifecycle, from data preparation to model deployment and monitoring, including relevant AWS services.
Guidelines for Responsible AI
[14%] Identify principles and practices for responsible AI, focusing on fairness, bias mitigation, transparency, and ethical considerations.
Security, Compliance, and Governance for AI Solutions
[14%] Recognize security and compliance requirements for AI solutions, including data privacy, access controls, and governance frameworks.
- The AWS Certified AI Practitioner Training Course at Intellectual Point equips you with the foundational knowledge and practical skills required to become proficient in artificial intelligence (AI) solutions using AWS services. This comprehensive course prepares you for the AWS Certified AI Practitioner certification exam, while also ensuring you acquire hands-on experience in working with machine learning (ML) and AI tools on the AWS platform. Whether you are new to AI or seeking to formalize your skills, this course covers essential AI concepts and AWS solutions applicable to real-world scenarios.
- Throughout the training, you will explore AI and ML fundamentals, AWS AI services, model deployment, and more. You will engage in practical labs and exercises to reinforce your understanding of AWS AI tools, enabling you to develop and deploy AI solutions effectively. By the end of the course, you’ll be ready to pass the certification exam and confidently apply your AI skills in various business applications. By the end of this course, participants will:
- 1) Develop and deploy AI solutions using AWS services effectively.
- 2) Understand and apply fundamental AI and machine learning concepts.
- 3) Demonstrate proficiency with AWS AI tools for various business applications.
- 4) Design AI-driven models and deploy them on the AWS platform seamlessly.
- 5) Prepare for and successfully pass the AWS Certified AI Practitioner exam.
Tuition & Hours
Tuition is charged by course. The cost of the certification exam is not included in the tuition and is a separate cost based on the current rates as set by the vendor.
Course | Total Hours | Tuition |
---|---|---|
AIML-101: AWS Certified AI Practitioner | 72 | $4,499.00 |
Books & Supplies
There are no additional charges for books or supplies.
Indirect Costs
Should a student wish to obtain the AWS Certified AI Practitioner certification exam, the cost is an additional fee not covered in tuition. While encouraged, the exam is not a required expense to be paid at the time of enrollment. To obtain a voucher for the certification exam, you will need to purchase it separately.
Course | Exam | Exam Fee |
---|---|---|
AIML-101: AWS Certified AI Practitioner | AWS Certified AI Practitioner | $100 |
Program Award
Upon successful completion of the course, the student will receive a Certificate of Completion for AWS Certified AI Practitioner Training.
* Exam fees are quoted based on time of publication. Voucher prices may change based on vendor rates and are updated accordingly. Please contact Intellectual Point to verify exam fee charges.
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Amazon Web Services Certified Cloud Practitioner Course at Intellectual Point Includes:
- Live instructor-led training in modern classrooms
- A thorough review of AWS Cloud Practitioner by industry experts
- Hands-on labs with computer hardware and software
- 100% latest material & and all practice questions
- Confidence building hands-on training
- Authorized Pearson testing at the same location to help you complete your exam*
- Study material, notes, videos, and practice questions included in the course price.
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