AWS Certified AI Practitioner Training & Certification
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AWS Certified AI Practitioner Certification
The AWS Certified AI Practitioner Certification is a foundational credential implemented for professionals who seek to demonstrate a strong understanding of Artificial Intelligence, Machine Learning, and fundamental concepts of Generative AI. This certification includes the use of these technologies and their implementation with the help of AWS services.
Our AWS Certified AI Practitioner Certification also focuses on practical use cases, implementing AI solutions to resolve complex business problems and helping professionals to analyse and identify the causes of errors. This certification will help you demonstrate your ability to contribute to AI-related projects and discussions in your business while showcasing your knowledge of AWS AI Services. AWS Certified AI Practitioner Certification is a globally recognized credential for professionals who want to start their AI journey.
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What You Will Get?
Learning Outcome
After the completion of the course, the participants would be able to:
Align various AI practices with the organization.
Learn AWS AI-related use cases and practices for businesses.
Understand operations of AWS AI.
Understand AWS Framework for AI and ML.
Learning Security and Compliance Practices.
Training Calendar
Self-Paced Training
Lifetime accessEnglish
- Self paced videos, assessments, recall quizzes, more
- For more details, reach us at training@novelvista.com
$ 300$ 334
Includes Training, Exam & Certification
Self-Paced Training
Lifetime Access
- Self paced videos, assessments, recall quizzes, more
- For more details, reach us at training@novelvista.com
$ 300$ 334
Includes Training, Exam & Certification
Still Confused? Talk to Our Advisor
Course Curriculum
Fundamentals of AI and ML (20%)+
- Basic AI/ML concepts, types of data, and learning methods (supervised, unsupervised, reinforcement).
- Use cases and capabilities of AWS AI/ML services (SageMaker, Polly, Lex, etc.).
- ML lifecycle and performance metrics.
Fundamentals of Generative AI (24%)+
- Concepts like tokens, embeddings, and transformer-based models.
- Applications of generative AI (chatbots, code generation, etc.).
- AWS services for generative AI (SageMaker JumpStart, Amazon Bedrock).
Applications of Foundation Models (28%)+
- Pre-trained model selection and customization techniques.
- Prompt engineering techniques and training/fine-tuning models
- Evaluation methods and metrics for foundation models.
Guidelines for Responsible AI (14%)+
- Bias, fairness, transparency, and inclusivity in AI systems.
- Tools for responsible AI (SageMaker Clarify, Model Monitor).
- Principles of human-centred design and legal considerations.
Security, Compliance, and Governance for AI (14%)+
- Securing AI systems (IAM roles, encryption).
- Compliance standards and AWS tools for governance (AWS Config, CloudTrail).
- Best practices for secure and ethical AI implementation.
Troubleshooting+
Course Details
What Will I Learn?+
Once you complete the certification you will:
- Identify the different use cases appropriate for AI and ML technologies.
- Understand the functionalities of AWS tools such as SageMaker, Rekognition, Lex, etc.
- Explore different foundational concepts, use cases and the limitations of Gen AI models.
- Learn about training, fine-tuning and evaluating models such as best practices for prompt engineering
Pre-Requisite+
- No, pre-requisite, but having educational knowledge in ML, AI and AWS is a must.
Eligibility+
If you are any of the following, then you are on the right track to pursue this certification:
- Beginners in AI and ML
- Project Managers
- Business Professionals
- AWS Professional
- Software Professionals
Training Delivery Style+
You will get connected with trainers through interesting activities which will help you to put actions into theories. Our Innovative thinking approach will help you to become engaged and enthusiastic. Some of the core attributes of our AWS Certified AI Practitioner Training Program are as follows:
- Storytelling-based training sessions
- Concept-based training using professional examples
- Self-reflection with group conversation
- Case studies as applied ideas given
- Group and individual activities, and talks
- Summarized readings to be taken home after the training
Advantages:+
- Global Recognition: AWS Certified AI Practitioner Certification is a widely recognized credential, valued by employers across the globe.
- Practical Knowledge: Allows you to gain different insights into AI/ML applications, enabling better decision-making and project contributions.
- Non-Technical Accessibility: Serves as an entry point for professionals in non-technical roles to understand and participate in AI-driven initiatives
- Skill Development: Distinguishes professionals in a competitive job market by validating AI and ML competencies on AWS platforms
- Career Growth: This certification opens up the doors to different job opportunities.
AWS Certified AI Practitioner Certification Exam Format:
Exam Time: 1 hour
Exam Format - Objective Type, Multiple Choice
Number of questions:40 (multiple-choice questions)
Passing marks: 26 out of 40 (65%)
Certificate - Within 5 business days
Result - Immediately after the exam