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.

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

Much career success, Lawrence Wilson – Artificial Intelligence Academy   

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.

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

Career success awaits you,  Lawrence Wilson – Artificial Intelligence Academy   

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.

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

Much career success,  Lawrence Wilson – Artificial Intelligence Academy   

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

Artificial Intelligence Engineer Master's Course – Accelerate your AI career & earnings growth

Attention Software Engineers and Data Scientists, this comprehensive master's course will equip to become a certified Artificial Intelligence Engineer. This training will help you learn various aspects of AI like Machine Learning, Deep Learning with TensorFlow, Artificial Neural Networks, Statistics, Data Science, SAS Advanced Analytics, Tableau Business Intelligence, Python and R programming and MS Excel through hands-on projects. As a part of online classroom training, you will receive 5 additional self-paced courses co-created with IBM namely Machine Learning with Python, Deep Learning with TensorFlow, Build Chatbots with Watson Assistant, R for Data Science, and Python. Moreover, you will also get an exclusive Access to IBM’s Cloud Platforms which are Cognitive Classes and IBM Watson Cloud Lab. You will gain high-demand skills in each of the training modules below: 1) Introduction to Artificial Intelligence domain, 2) How Data Science and Artificial Intelligence overlap, 3) Importance of Python coding for data analytics, 4) Efficient design of Machine Learning systems, 5) SAS tool for data analytics, modeling and visualization, 6) Working with Tableau interactive dashboard and reports, 7) MS Excel calculations, tables and formulae, 8) R Statistical computing for Data Science, 9) Building of Artificial Neural Networks and Statistical Models, and 10) Deep Learning techniques and working with TensorFlow. Much success, Lawrence Wilson – Artificial Intelligence Academy   

Get started today. Enroll at: https://tinyurl.com/r9cnbry       

Top 3 Strategies for 2020 to Advance Your Python Software Career

Software Developers and Engineers, do you want to increase your income and career potential in the New Year? If so, we can help. Here are three proven strategies that can boost your success. First, Get Trained. Here are three of the best training programs we have uncovered: Programming with Python for Data Science, Machine Learning with PyTorch, and Applied Machine Learning Algorithms with Python.  Second, Get Published: Use the Write an Article tools in your Linked In home page. Join and publish an article to the Python group on Reddit (480k members). Submit an article to Mention (click here for 5 tips on getting your article accepted). And third, Get Known: Establish yourself as an Influencer on Triberr (join for free). Join the Facebook Python Developers Group with 138k members. Finally, interact with the 1.4m members on the Google AI community on Twitter.

Programming with Python for Data Science: https://tinyurl.com/skcgkkq     

Machine Learning with PyTorch: https://tinyurl.com/yx6bxeth

Applied Machine Learning Algorithms with Python: https://tinyurl.com/r2jegmz

Much success, Lawrence Wilson – Artificial Intelligence Academy    

Applied Machine Learning Algorithms with Python – Take the next step in your AI career & income path

Software and Data Science colleagues, the Corporate Finance Institute (CFI) has partnered with Machine Learning Edge to bring to you a unique course on the applied machine learning algorithms for finance professionals. This course will utilize the knowledge you learned from the Python Fundamentals course to build machine learning investor classifiers. We are going to explore real case studies from investment banking and capital markets applications that are being used today to advise Fortune 500 companies all over the world. By the end of the course you will be able to: Identify overfit regression models, Compare different regularized regression algorithms and decision tree ensemble algorithms Explain the confusion matrix and its relation to the ROC curve, Construct training data sets, testing data sets, and model pipelines, perform advanced data cleaning, exploration, and visualization, Engineer features based on conditional relationships between existing features, and Build and finalize a machine learning classifier. Core skills you will acquire are: 1) Data Cleaning and Exploration, 2) Data Visualization with Matplotlib and Seaborn,Seaborn Countplot Function, 4) Replace Function and Sparse Classes, 5) Null Values, 6) Drop Null Values, 7) Boxplots with Seaborn, 8) Saving Cleaned Data Table, 9) Regression Algorithms, 10) Liquidity Regressor, and 12) Classification Algorithms Investor Classifiers I & II. Much career success, Lawrence Wilson – Online Learning Central

Register today at: https://tinyurl.com/r2jegmz

Microsoft Professional Program - Data Science Orientation: Launch you Data Science career & income path

Attention all Data Scientists and Analysts, this program is the first stop in the Data Science curriculum from Microsoft. It will help you get started with the program, plan your learning schedule, and connect with fellow students and teaching assistants. Along the way, you’ll get an introduction to working with and exploring data using a variety of visualization, analytical, and statistical techniques. Course Objectives: How the Microsoft Data Science curriculum works, how to navigate the curriculum and plan your course schedule, Basic data exploration and visualization techniques in Microsoft Excel, and Foundational statistics that can be used to analyze data. The program includes:  1) The Data Science Curriculum - Guide to the Data Science Curriculum and Meet the Data Scientists, 2) Data Science Fundamentals - Getting Started with Data, and 3) A Basic Introduction to Statistics, and 4) Lab exploring Data with Excel. Much career success, Lawrence Wilson – Artificial Intelligence Academy   

Why not enroll today? Visit: https://tinyurl.com/ssnl4gu

Data Science Specialization from John’s Hopkins University – Advance your professional & income potential

Data Scientists and Software Engineers, launch Your Career in Data Science with this introduction to data science, developed and taught by leading professors. Learning Objectives include: Use R to clean, analyze, and visualize data, Navigate the entire data science pipeline from data acquisition to publication, Use GitHub to manage data science projects, perform regression analysis, least squares and inference using regression models. Gain high demand, marketable skills in GitHub, Machine Learning, R Programming and Regression Analysis. The training modules which comprise this program are: 1) R Programming, 2) Getting and Cleaning Data, 3) Exploratory Data Analysis, 4) Reproducible Research, 5) Statistical Inference, 6) Regression Models, 7) Practical Machine Learning, 8) Developing Data Products, and 9) Data Science Capstone. Much career success, Lawrence Wilson – Artificial Intelligence Academy   

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

Model Tuning for Machine Learning – Advance your Artificial Intelligence career & income horizons

Machine Learning Pros, this course will help your slingshot the predictive capabilities of your models, far out-pacing the limits of out-of-box ML. From a ground-up perspective, we'll understand how a model functions, the part of the model that is able to fit the data on its' own, and how important additional tuning and fitting by a trained ML engineer is. This module includes real-world examples, coding assignments, and lots of in-depth exploration of how and why model tuning should be done. If you understand the material in this course, your models will improve, and the results you will be able to deliver will as well! Exceed the performance of out-of-box machine learning models - drastically! You will learn how to make sure you are getting the best predictions your model can provide, if you should change your model, or even if you could benefit from packaging multiple models together to get the best fit for your data. This program is a crucial step towards becoming an expert data scientist - moving from simply knowing how machine learning works, to understanding on an intuitive level how these algorithms model data, and the state of the art techniques that are available to improve their performance. Core skill-based training modules include:  1) Model Tuning Introduction, 2) Bagging, 3) Boosting, 4) Hyper-Parameters, and 5) Stacking. Much career success, Lawrence Wilson – Artificial Intelligence Academy   

Why not enroll today? Visit: https://tinyurl.com/r8krgqq