AWS Certified AI Practitioner Training Course
Length
1 day / 1 week
Price
$899
Days
Mon - Fri
Why Choose This Course
AWS Certified AI Practitioner is a foundational certification thatvalidatesknowledge of artificial intelligence, machine learning, and generative AI concepts, along with how AWS services are used to support real-world use cases responsibly.
This instructor-led training course focuses on exam-aligned content drawn from the official exam guide, covering fundamentals of AI and ML, generative AI, the application of foundation models, responsible AI guidelines, and security, compliance, and governance for AI solutions on AWS. Learners explore high-level capabilities of services such as Amazon Bedrock, Amazon SageMaker, Amazon Comprehend, AmazonRekognition, Amazon Lex, Amazon Transcribe, and related core AWS services.
Industry demand for applied AI skills continues to grow, and AWS provides a structured pathway with a dedicated entry-level certification to help professionalsdemonstratetrusted, exam-aligned knowledge. Bypreparing forAIF-C01, learners gain the confidence to evaluate AI use cases, collaborate with technical teams, and align AI initiatives with organizational goals, while reinforcing essential security and compliance considerations in the AWS Cloud. A certificate of course attendance is included.
Events
Prerequisites
- There are no formal prerequisites for this course. The exam guide describes a target candidate with up to six months’ exposure to AI and ML technologies on AWS.
Exam
- Candidates can achieve this certification by passing the following exam(s).
AWS Certified AI Practitioner (AIF-C01).
Books
- AWS Certified AI Practitioner course material included.
Delivery
- Live virtual online training attend in real-time from anywhere
Skills Gained
- Explain core AI and ML concepts, terms, and learning approaches.
- Describe generative AI principles, tokens, embeddings, and foundation model lifecycles.
- Identifysuitable AI and ML use cases and solution approaches for common business problems.
- Recognize capabilities andappropriate usageof Amazon Bedrock for foundation models.
- Summarize Amazon SageMaker’s high-level roles in ML workflows.
- Outline NLP and text analytics scenarios using Amazon Comprehend.
- Outline image and video analysis scenarios using AmazonRekognition.
- Describe conversational interface basics with Amazon Lex.
- Summarize speech services such as Amazon Transcribe and Amazon Polly at a conceptual level.
- ApplyresponsibleAI guidelines, including fairness, transparency, and guardrails.
- Identifygovernance considerations for AI solutions on AWS.
- Recognize shared responsibility for security and compliance in AWS AI contexts.
- Evaluate risks such as bias, hallucinations, and data leakage in generative AI workflows.
- Map foundation model applications to prompt engineering strategies.
- Distinguish tasks that are out of scope for the target candidate (e.g., coding ML models).
Audience
- Business analysts and product managers
- IT professionals and technical decision-makers
- Marketing and sales professionals exploring AI use cases
Course Schedule & Pricing
Choose the schedule that fits your life — all options include full course materials & certification support
Full-time immersion for rapid certification readiness.
Balance your career while you upgrade your skills.
Maximum flexibility for busy working professionals.
Outline
- Introduction to AI and ML fundamentals
- Types of machine learning and common algorithms
- Generative AI concepts and lifecycle
- Foundation models and prompt engineering
- AWS AI/ML services overview: SageMaker, Bedrock,Comprehend,Rekognition
- Responsible AI principles and ethical considerations
- Security and compliance for AI workloads
- Governance frameworks for AI solutions
- AWS global infrastructure and AI service integration
- Cost optimization strategies for AI workloads
- Hands-on labs: exploring SageMaker JumpStart and Bedrock
- Use case analysis and solution mapping
- Exam preparation tips and practice questions
Terms & Conditions
Frequently Asked Questions (FAQ's)
What is the AWS Certified AI Practitioner certification?
Who should take this course?
Do I need coding experience?
Our Partnership
Reliable certification testing is vital for validating professional skills in today’s tech-driven world. As a Pearson VUE Authorised Centre, we provide a secure environment for globally recognised IT exams. This partnership ensures convenient access to certifications with the highest standards of integrity and accuracy.
Our Accreditations
