AWS Certified Machine Learning-Specialty (ML-S) – Your ticket to new ML career and earnings opportunities

AI and ML Pros, this program covers the essentials of Machine Learning on AWS and prepares a candidate to sit for the AWS Machine Learning-Specialty (ML-S) Certification exam. Four main categories are covered: Data Engineering, EDA (Exploratory Data Analysis), Modeling, and Operations. The course offers the following tools to help users pass the exam: Each lesson module includes a five-question multiple-choice quiz in the style of the AWS ML exam. There are 39 quizzes, with a total of 195 questions. Practice Exam: A multiple-choice practice exam is included in the style of the AWS ML exam. This exam totals 50 questions and takes one hour to complete. You Will Learn How to perform data engineering tasks on AWS* How to use Exploratory Data Analysis (EDA) to solve machine learning problems on AWS, How to perform machine learning modeling tasks on the AWS platform, How to operationalize machine learning models and deploy them to production on the AWS platform, as well as How to think about the AWS Machine Learning-Specialty (ML-S) Certification exam to optimize for the best outcome. Build high-demand skills via the following training modules: 1) AWS Machine Learning-Specialty (ML-S) Certification, 2) Data Engineering for ML on AWS, 3) Exploratory Data Analysis on AWS, 4) Machine Learning Modeling on AWS, 5) Operationalize Machine Learning on AWS, 6) Create a Production Machine Learning Application – AWS SageMaker, and 7) Case Studies including Sagemaker Features, DeepLense Features, Kinesis Features, AWS Flavored Python and Cloud9. Career success awaits you,  Lawrence Wilson – Artificial Intelligence Academy   

Register today at: https://tinyurl.com/wf3ffhl  

Machine Learning with PyTorch Training – Take the next step in your professional and income growth

Software Developers and Engineers, this intermediate level course with over six hours of video instruction will equip you to Apply various machine and deep learning techniques, Understand the difference between various machine and deep learning libraries, create classifiers and Enhance an existing classifier. It begins with the basic concepts of machine and deep learning, then learn how it can be applied to some popular problem domains. Training modules include: 1) What Is Machine Learning? What Is Deep Learning? 2) Comparing Several Libraries, 3) Understanding PyTorch and using tensors, autograd, and NumPy interfaces, 4) Tasks with Networks such as feature classifiers, regression prediction, clustering, adversarial networks and speech tagger, and 5) Enhancing an Image Classifiers with torchvision models, Retrain pretrained models, and modify network layers.Much career success,  Lawrence Wilson – Artificial Intelligence Academy   

Why not enroll today? Visit: https://tinyurl.com/szmb6cl

Artificial Intelligence and Deep Learning with TensorFlow – Your ticket to earnings and career growth

Software Developers and Engineers, Deep Learning in TensorFlow with Python Certification Training is curated by industry professionals as per the industry requirements & demands. You will master the concepts such as SoftMax function, Autoencoder Neural Networks, Restricted Boltzmann Machine (RBM) and work with libraries like Keras & TFLearn. The course has been specially curated by industry experts with real-time case. In this Deep Learning in TensorFlow with Python Training we will learn about what is AI, explore neural networks, understand deep learning frameworks, implement various machine learning algorithms using Deep Networks. We will also explore how different layers in neural networks does data abstraction and feature extraction using Deep Learning. This training program consists of the following modules and related skills: 1) Introduction to Deep Learning, 2) Understanding Neural Networks with TensorFlow, 3) Deep dive into Neural Networks with TensorFlow, 4) Master Deep Networks, 5) Convolutional Neural Networks (CNN), 6) Recurrent Neural Networks (RNN), 7) Restricted Boltzmann Machine (RBM) and Autoencoders, 8) Keras API, 8) TFLearn API, and 9) In-Class Capstone Project. Much career success,  Lawrence Wilson – Artificial Intelligence Academy   

Why not enroll today? Visit: https://fxo.co/8I4g

Data Engineering with Python and AWS Lambda – Career and income success await you

Data Engineering colleagues, AWS Lambda is an event-driven, serverless computing platform provided by Amazon as a part of the Amazon Web Services. It is a computing service that runs code in response to events and automatically manages the computing resources required by that code. AWS Lambda supports securely running native Linux executables. Data Engineering with Python and AWS Lambda LiveLessons shows users how to build complete and powerful data engineering pipelines in the same language that Data Scientists use to build Machine Learning models. By embracing serverless data engineering in Python, you can build highly scalable distributed systems on the back of the AWS backplane. Users learn to think in the new paradigm of serverless, which means to embrace events and event-driven programs that replace expensive and complicated servers. This program will equip you to: Perform Data Engineering tasks on AWS, develop with Cloud9, Write AWS Lambda functions in Python, Implement cloud-native Data Engineering patterns, i.e. serverless, and Architect event-driven architectures on the AWS platform using SQS, Python Lambda, and other AWS technologies. Much career success, Lawrence Wilson – Artificial Intelligence Academy   

Enroll today at: https://tinyurl.com/y6ct4jzt      

Integrated Program in Big Data and Data Science Maters Certificate – Your gateway to new career & income potential

Colleagues, mastering the field of data science begins with understanding and working with the core technology frameworks used for analyzing big data. You’ll learn the developmental and programming frameworks Hadoop and Spark used to process massive amounts of data in a distributed computing environment, and develop expertise in complex data science algorithms and their implementation using R, the preferred language for statistical processing. The insights you will glean from the data are presented as consumable reports using data visualization platforms such as Tableau. The five courses in this program are: 1) Data Science Certification Training - R Programming, 2) Big Data Hadoop and Spark Developer, 3) Tableau Desktop 10 Qualified Associate Training, 4) Data Science with Python, and 5) Machine Learning. Electives include Data Science with SAS Training, Apache Spark and Scala, MongoDB Developer and Administrator, Apache Cassandra, and many more. Much career success,  Lawrence Wilson – Artificial Intelligence Academy   

Why not enroll today? Visit: https://tinyurl.com/yxvxgaq2

TensorFlow in Practice Specialization – Your gateway to leadership & income growth in Artificial Intelligence

AI and ML colleagues, discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework. TensorFlow is a free and open-source software library for dataflow and differentiable programming across a range of tasks. It is a symbolic math library, and is also used for machine learning applications such as neural networks. In this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. Core skills you will gain include: Computer Vision, Convolutional Neural Network, Machine Learning, Natural Language Processing. The four courses which comprise this program are: 1) Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning, 2) Convolutional Neural Networks in TensorFlow, 3) Natural Language Processing in TensorFlow, and 4) Sequences, Time Series and Prediction. Career success awaits you,  Lawrence Wilson – Artificial Intelligence Academy   

Enroll today at: https://fxo.co/7j8D     

Microsoft Cloud Workshop: Cognitive Services and Deep Learning – Expand your career & income horizons

AI and ML Pros, you will learn to combine both pre-built artificial intelligence (AI) (in the form of various Cognitive Services) with custom AI (in the form of services built and deployed with Azure Machine Learning services). You will learn to create intelligent solutions atop unstructured text data by designing and implementing a text analytics pipeline along with how to build a binary classifier using a simple neural network that can be used to classify the textual data. Also, you will learn how to deploy multiple kinds of predictive services using Azure Machine Learning and learn to integrate with the Computer Vision API and the Text Analytics API from Cognitive Services. You will be equipped with core skills in: Azure Machine Learning Services, Cognitive Services, Computer Vision API, Text Analytics API and TensorFlow. This program is comprised of two training modules: 1) Whiteboard Design Session - Cognitive Services and Deep Learning - Review the customer case study, design a proof of concept solution, and Present the solution; and 2) Hands-on lab - Cognitive Services and Deep Learning - Setup Azure Machine Learning accounts, Deploy the Summarizer as a Service, Applying TensorFlow, and Completing the solution. Much career success,  Lawrence Wilson – Artificial Intelligence Academy   

Why not enroll today? Visit: https://tinyurl.com/y4baj9yv      

Data Structures and Algorithms Specialization – Advance your Data Science career and earnings potential

Data Science Pros, this specialization is a combination of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice. You will gain tangible skills in Debugging Software, Testing Algorithms, Data Structure, Computer Programming. No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview. For each algorithm you develop and implement, we designed multiple tests to check its correctness and running time - you will have to debug your programs without even knowing what these tests are! It may sound difficult, but we believe it is the only way to truly understand how the algorithms work and to master the art of programming. The specialization contains two real-world projects: Big Networks and Genome Assembly. The six courses which comprise this program are: 1) Algorithmic Toolbox, 2) Data Structures, 3) Algorithms on Graphs, 4) Algorithms on Strings, 5) Advanced Algorithms and Complexity, and 6) Genome Assembly Programming Challenge. Much career success,  Lawrence Wilson – Artificial Intelligence Academy   

Enroll today at: https://fxo.co/7tIQ

Introduction to Artificial Intelligence – Earn your Artificial Intelligence Graduate Certificate and advance your career

Software Developers and Engineers, did you know that The average salary for Artificial Intelligence Engineer is $115,000 per year? Well, this training program provides an overview of AI to learn how Machine Learning provides the foundation for AI, and how you can leverage cognitive services in your apps. Discover how machine learning can be used to build predictive models for AI. Learn how software can be used to process, analyze, and extract meaning from natural language; and to process images and video to understand the world the way we do. Find out how to build intelligent bots that enable conversational communication between humans and AI systems. This course also helps students for Artificial Intelligence Graduate Certificate exam. You will be equipped to: 1) Build simple machine learning models with Azure Machine Learning, 2) Use Python and Microsoft cognitive services to work with text, speech, images, and video, 3) Use the Microsoft Bot Framework to implement conversational bots, 4) Implement Machine Learning Fundamentals and Azure Machine Learning Studio, 4) Get Started with Text Processing, Introduction to Natural Language Processing, Language Understanding Intelligent Service, 5) Use Computer Vision with Image Processing, and 6) Conversation as a Platform - Introduction to Bots and Building Intelligent Bots. Much career success, Lawrence Wilson - Artificial Intelligence Academy

Register today at: https://tinyurl.com/y5spmfvn