/El John Acebedo

About El John Acebedo

I'm a Junior AWS Consultant and Content Creator. I taught myself AWS while working as a full-time PCB Design Engineer. I'm interested in making serverless applications on the cloud and have a passion for teaching. I am also currently an SAA (Solutions Architect Associate) certified professional.

My AWS Certified Security Specialty Exam Experience – Tips and Important Notes


My AWS Certified Security Specialty Exam Experience - Tips and Important Notes The AWS Certified Security - Specialty is included in the top 10 Most Popular Cybersecurity Certifications based on Global Knowledge’s 2020 IT Skills and Salary Report. Beating some of the famous security certifications on the list (e.g. CEH, CompTia: Security+) only shows how influential AWS has been to the IT industry in the previous years. Not only Security Professionals can benefit from this certification. Whether you’re a Cloud Engineer, Developer, or System Administrator, having a good understanding of the AWS security best practices and how they can be [...]

My AWS Certified Security Specialty Exam Experience – Tips and Important Notes2021-01-21T21:25:32+00:00

Amazon Aurora Machine Learning


Amazon Aurora Machine Learning Amazon Aurora Machine Learning is a proprietary technology of Amazon that enables a native SQL user to integrate Machine Learning-based predictions to an application without knowing or understanding any machine learning algorithms. Machine learning heavily relies on datasets for it to work. You can say that data is the oil that keeps the engine of machine learning running. There is a massive amount of data generated every day. To give you an idea, according to this article, “By 2020, it’s estimated that for every person on earth, 1.7 MB of data will be created every second.” [...]

Amazon Aurora Machine Learning2020-12-29T08:54:56+00:00

Amazon Comprehend


Amazon Comprehend A managed Natural Language Processing (NLP) service that you can use to extract meaningful information from unstructured texts so you can analyze them in a human-like context. It is an off-the-shelf solution that does not require deep machine learning expertise to get started. Works with social media feeds, web pages, comments, product reviews, articles, or emails. Can analyze texts in real-time by using built-in and custom models. Common Use Cases Sentiment analysis for social media posts Organize documents by topics Knowledge management and discovery Classifies support tickets for better issue handling Medical cohort analysis Amazon Comprehend generates insights [...]

Amazon Comprehend2021-01-11T06:42:09+00:00

AWS DeepLens


AWS DeepLens A deep learning-enabled camera for developers A wireless-enabled camera integrated with AWS Cloud Capable of delivering 100GFLOPS of computing power (1 billion operations per second) Contains sample projects at launch to get you started Optimized for Apache MXNet, TensorFlow, and Caffe Integrates with Amazon Rekognition for advanced image analysis Common use cases Developing computer vision applications such as: Face Detection Activity Detection Object Detection Bird Classification  Artistic Style Transfer AWS DeepLens needs 3 AWS services to create a project: Amazon SageMaker  Train/validate custom or pre-trained models  AWS Lambda Preprocessing  Capturing inference Displaying output AWS IoT Greengrass Deploys application [...]

AWS DeepLens2020-12-29T10:46:42+00:00

Amazon SageMaker


Amazon SageMaker A fully managed service that allows data scientists and developers to easily build, train, and deploy machine learning models at scale. Provides built-in algorithms that you can immediately use for model training. Also supports custom algorithms through docker containers. One-click model deployment. Concepts Hyperparameters It refers to a set of variables that controls how a model is trained. You can think of them as “volume knobs” that you can tune to acquire your model’s objective. Automatic Model Tuning Finds the best version of a model by automating the training job within the limits of the hyperparameters that you [...]

Amazon SageMaker2021-01-05T04:41:56+00:00

Amazon Lex


Amazon Lex A service that can help you build conversational interfaces using voice and text. Uses automatic speech recognition (ASR) to convert speech to text. Uses natural language understanding (NLU) for recognizing the intent of the text. Provides highly-engaging user experiences and lifelike conversational interactions. Gets more intelligent over time by using deep learning. Common Use Cases AI Chatbots Informational bots Enterprise Productivity bots Voice Assistants Concepts Bots Performs automated tasks such as ordering food or booking flights. Supports multiple intents - for example, a bot can book a reservation or may choose to cancel it. Intent A set of [...]

Amazon Lex2021-01-25T06:10:49+00:00

Amazon Elastic Inference


Amazon Elastic Inference Allows attaching low-cost GPU-powered inference acceleration to EC2 instances, SageMaker instances, or ECS tasks. Reduce machine learning inference costs by up to 75%. Common use cases Computer vision Natural language processing Speech recognition Concepts Accelerator A GPU-powered hardware device provisioned.  It is not a part of the hardware where your instance is hosted. Uses AWS PrivateLink endpoint service to attach to the instance over the network. Only a single endpoint service is required in every Availability Zone to connect Elastic Inference accelerator to instances. Features Supports TensorFlow, Apache MXNet, PyTorch, and ONNX models. Can provide 1 to [...]

Amazon Elastic Inference2020-12-29T10:45:47+00:00

Amazon Polly


Amazon Polly A text-to-speech (TTS) service Uses advanced deep learning technologies to convert text into natural, lifelike speech It supports saving text into MP3, OGG, and PCM file formats. Offers Standard and Neural TTS (NTTS) Common use cases Increase customer engagement Language learning applications Helps visually impaired individuals to consume digital content Testing in-game dialogs Voice response Concepts Speech Synthesis Markup Language (SSML) Uses XML-based tags to modify different aspects of the text-to-speech output. Can control pitch, speaking style, speech rate, and volume. Standard TTS Concatenates short speech snippets together. Limited in terms of producing different speaking styles. Neural TTS [...]

Amazon Polly2020-12-29T10:46:05+00:00

Amazon Transcribe


Amazon Transcribe A fully managed automatic speech recognition (ASR) service. Converts speech into text. It supports a wide variety of audio coding formats such as WAV, MP3, MP4, FLAC, AMR, AMR-WB, Ogg, and WebM. It can process batch and streaming transcriptions. Common Use Cases Transcribing customer calls Meeting transcription Closed captioning Generating metadata to create a searchable archive Concepts A confidence score is between 0 and 100, indicating the probability that a given prediction is correct. Low-fidelity (lo-fi) is a term used to describe audio recordings that exhibit poor sound quality. The term high-fidelity refers to high-quality audio recordings. Automatic [...]

Amazon Transcribe2020-12-29T10:46:30+00:00

Amazon Translate


Amazon Translate A Neural Machine Translation service that provides fluent translation with higher accuracy than traditional statistical and rule-based translation models. Powered by deep learning models that deliver fast, accurate, and affordable translation between supported languages. Supports batch translation, real-time, and on-demand translations. Common Use Cases Language localization Translating content for text analytics Cross-lingual communication Concepts Amazon Translate uses a Translation Model that consists of two (2) components: Encoder Read a source text one word at a time. Creates a semantic representation of each word. Decoder Uses the constructed semantic representation of the encoded text and translates it to the [...]

Amazon Translate2020-12-29T10:46:36+00:00

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