If you are prepping for the AWS Certified AI Practitioner   https://aws.amazon.com/certification/certified-ai-practitioner/ ,  these notes should be enough to get the fundamentals for the exam. Domain 8: Essentials of Prompt Engineering Understand Prompts : By interacting with a model through a series of questions, statements, or instructions, you can adjust model output behavior based on the specific context of the output that you want to achieve. Using effective prompt stra

If you are prepping for the AWS Certified AI Practitioner   https://aws.amazon.com/certification/certified-ai-practitioner/ ,  these notes should be enough to get the fundamentals for the exam. Domain 7: Security, Compliance, and Governance for AI Solutions Amazon Web Services (AWS) provides a comprehensive set of tools, services, and partner solutions to build and secure artificial intelligence (AI) systems. These resources help achieve compliance objectives, such as protect

If you are prepping for the AWS Certified AI Practitioner   https://aws.amazon.com/certification/certified-ai-practitioner/ ,  these notes should be enough to get the fundamentals for the exam. Domain 6: Optimizing Foundation Models Explore two techniques to improve the performance of a foundation model (FM): Retrieval Augmented Generation (RAG) - Provide specific knowledge dataset for the tuning of the model. Fine-Tuning - Although foundation models are highly versatile, t

If you are prepping for the AWS Certified AI Practitioner   https://aws.amazon.com/certification/certified-ai-practitioner/ ,  these notes should be enough to get the fundamentals for the exam. Domain 4: Developing Machine Learning Solutions Machine learning (ML) lifecycle refers to the end-to-end process of developing, deploying, and maintaining machine learning models. With SageMaker Jumpstart , you can deploy, fine-tune, and evaluate pre-trained models from the most popula

If you are prepping for the AWS Certified AI Practitioner   https://aws.amazon.com/certification/certified-ai-practitioner/ ,  these notes should be enough to get the fundamentals for the exam. Domain 3: Responsible Artificial Intelligence Practices As you develop your AI system, whether it is a traditional or generative AI application, it is important to incorporate responsible AI. Responsible AI Responsible AI is the standard of upholding responsible practices and mitigatin

If you are prepping for the AWS Certified AI Practitioner   https://aws.amazon.com/certification/certified-ai-practitioner/ ,  these notes should be enough to get the fundamentals for the exam. Domain 2: Exploring Artificial Intelligence Use Cases and Applications AI applications and other AWS services automate processes across various industries. Some of the applications include computer vision, natural language processing (NLP), intelligent document processing (IDP), and fr

If you are prepping for the AWS Certified AI Practitioner https://aws.amazon.com/certification/certified-ai-practitioner/, these notes should be enough to get the fundamentals for the exam. Domain 1: Fundamentals of AI and ML Building a machine learning model involves data collection and preparation, selecting an appropriate algorithm, training the model on the prepared data, and evaluating its performance through testing and iteration. Training Data -> ML Algorithm -> Mode

Containers are everywhere in modern app development.  They’ve become one of the fastest and most convenient ways to build, package, and ship software. Why? Because they’re lightweight, portable, and scale effortlessly, which makes them perfect for today’s fast-moving teams. Think about companies like Netflix  or JioCinema  (a leading streaming service in India). How do they deliver seamless video content to millions (if not billions) of users with minimal downtime and excelle

If you're reading this in 2025, it's likely your organization relies heavily on cloud providers like AWS, GCP, or Azure for agility,...