AWS Certified AI Practitioner Training & Certification

• 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).

• Pre-trained model selection and customization techniques.
• Prompt engineering techniques and training/fine-tuning models
• Evaluation methods and metrics for foundation models.

• Bias, fairness, transparency, and inclusivity in AI systems.
• Tools for responsible AI (SageMaker Clarify, Model Monitor).
• Principles of human-centred design and legal considerations.

• Securing AI systems (IAM roles, encryption).
• Compliance standards and AWS tools for governance (AWS Config, CloudTrail).
• Best practices for secure and ethical AI implementation.

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.

• 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.

• No, pre-requisite, but having educational knowledge in ML, AI and AWS is a must.

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

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