Data Engineering & Machine Learning on Google Cloud Platform Specialization – Accelerate your career growth

DevOps and Software Engineers, this five-week, accelerated online specialization provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning. The course covers structured, unstructured, and streaming data. You will gain valuable skills in Tensorflow, Bigquery, Bigtable, and Dataflow. This course equips you to: 1) Design and build data processing systems on Google Cloud Platform, 2) Leverage unstructured data using Spark and ML APIs on Cloud Dataproc, 3) Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow, 4) Derive business insights from extremely large datasets using Google BigQuery, 5) Train, evaluate and predict using machine learning models using Tensorflow and Cloud ML, and 6) Enable instant insights from streaming data. Much career success, Lawrence Wilson – Artificial Intelligence Academy

Register today at https://fxo.co/6Hnx 

Data Science with R Programming – Build your AI career and income path

AI and DevOps Pros, become an expert in data analytics using the R programming language in this data science certification training course. You’ll master data exploration, data visualization, predictive analytics, and descriptive analytics techniques with the R language. With this data science course, you’ll get hands-on practice by implementing various real-life, industry-based projects in the domains of healthcare, retail, insurance, and many more. This course forms an ideal package for aspiring data analysts aspiring to build a successful career in analytics/data science. By the end of this training, participants will acquire a 360-degree overview of business analytics and R by mastering concepts like data exploration, data visualization, predictive analytics, etc According to marketsandmarkets.com, the advanced analytics market will be worth $29.53 Billion by 2019 Wired.com points to a report by Glassdoor that the average salary of a data scientist is $118,709. Randstad reports that pay hikes in the analytics industry are 50% higher than the IT industry. Lessons include: Introduction to Business Analytics, Introduction to R Programming, Data Structures and Visualization, Statistics for Data Science, Regression Analysis, Classification, Clustering, and Association. Career success awaits you, Lawrence – Artificial Intelligence Academy

Get started today at  https://tinyurl.com/y3p5xun3  

Ride the AI tsunami: Introduction to Artificial Intelligence from Microsoft – boost your career and income growth

Software Developer and Engineering colleagues, Artificial Intelligence will define the next generation of software solutions. This computer science course provides an overview of AI, and explains how it can be used to build smart apps that help organizations be more efficient and enrich people’s lives. It uses a mix of engaging lectures and hands-on activities to help you take your first steps in the exciting field of AI. 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. The practical elements of this course are based on Microsoft Azure, and require an Azure subscription. The four courses in this program include: 1) Machine Learning – The Foundation of AI, 2) Text and Speech – Understanding Language, 3) Computer Vision – Seeing the World Through AI, and 4) Bots – Conversation as a Platform. Much career success, Lawrence Wilson – Artificial Intelligence Academy

Register today at: https://fxo.co/7ppg

Python for Everybody Specialization is your key to increased career growth and earnings potential

Attention Software Programmers and Engineers, this Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization. There are 5 Courses in this Specialization include: Programming for Everybody, Getting Started with Python, Python Data Structures, , Using Python to Access Web Data, Using Databases with Python, Python Data Structures, and a Capstone Project involving Retrieving, Processing, and Visualizing Data with Python. Capstone Project: Retrieving, Processing, and Visualizing Data with Python. Key skills you will learn include JSON, XML, Python Programming and DBMS. Much career success, Lawrence Wilson – Artificial Intelligence Academy

Get started today at https://fxo.co/7hiO

Enroll in the “Principles of Machine Learning” Microsoft Professional Program to boost your careers and earnings

Software and Engineering Pros, in the Principles of Machine Learning from Microsoft you will gain hands-on experience building and deriving insights from machine learning models using R, Python, and Azure Machine Learning. This course is part of the Microsoft Professional Program Certificate in Data Science and Microsoft Professional Program in Artificial Intelligence. Machine learning uses computers to run predictive models that learn from existing data in order to forecast future behaviors, outcomes, and trends. In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. You will learn how to build and derive insights from these models using R, Python, and Azure Machine Learning. The five training modules in this program are: 1) Explore classification, 2) Regression in machine learning, 3) How to improve supervised models, 4) Details on non-linear modeling, and 5) Recommender systems. New income & career opportunities await you, Lawrence Wilson – Artificial Intelligence Academy

Register today at https://fxo.co/6Fqt

Machine Learning Specialization from the University of Washington – Boost your career and income potential

Software DevOps and Engineers, are you ready to Build Intelligent Applications? Master machine learning fundamentals in four hands-on courses. This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data. There are 4 Courses in this Specialization which include: 1) Machine Learning Foundations: A Case Study Approach, 2) Machine Learning: Regression, 3) Machine Learning: Classification, and 4) Machine Learning: Clustering & Retrieval. You will gain high demand, marketable skills in Data Clustering Algorithms, Machine Learning, Classification Algorithms, Decision Tree. Much career success, Lawrence Wilson – Artificial Intelligence Academy

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

Time to boost your career & income growth - “Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning“

Software DevOps and Engineers, this course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization. Four courses comprise this program including: 1) A New Programming Paradigm, 2) Introduction to Computer Vision, 3) Enhancing Vision with Convolutional Neural Networks, and 4) Using Real-world Images. Upon completion of this program you will have developed high-demand, highly marketable skills in three core areas: Computer Vision, Tensorflow, and Machine Learning. Much career success, Lawrence Wilson – Artificial Intelligence Academy

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

Artificial Intelligence for Everyone by Andrew Ng - Time to accelerate your career and earnings growth

Tech and IT Pros, if you want to break into AI this Specialization is for you.. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. Core skills you will obtain are: Tensorflow, Convolutional Neural Network, Artificial Neural Network, Deep Learning.  The five courses in this Specialization include 1) Neural Networks and Deep Learning, 2) Improving Deep Neural Networks: Hyperparameter tuning, 3) Regularization and Optimization, Structured Machine Learning Projects, 4) Convolutional Neural Networks, and 5) Sequence Models. Much career success, Lawrence Wilson – Artificial Intelligence Academy

Register now at https://fxo.co/7eh8

Machine Learning for Artificial Intelligence Specialization – Boost your career growth and income potential

Software Development and Engineering colleagues, this program provides an introduction to machine learning, datamining, and statistical pattern recognition. Topics include: 1) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks), 2) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning), and 3) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining. You will gain valuable skills in Logistic Regression, Artificial Neural Networks, Machine Learning, and Algorithms Machine Learning. Much career success, Lawrence Wilson, Artificial Intelligence Academy

Register today at https://fxo.co/6ajt

Enroll in the Microsoft Machine Learning program to boost your career and earnings

Software and Engineering Pros, gain hands-on experience building and deriving insights from machine learning models using R, Python, and Azure Machine Learning. This course is part of the Microsoft Professional Program Certificate in Data Science and Microsoft Professional Program in Artificial Intelligence. Machine learning uses computers to run predictive models that learn from existing data in order to forecast future behaviors, outcomes, and trends. In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. You will learn how to build and derive insights from these models using R, Python, and Azure Machine Learning. The five training modules in this program are: 1) Explore classification, 2) Regression in machine learning, 3) How to improve supervised models, 4) Details on non-linear modeling, and 5) Recommender systems. New income & career opportunities await you, Lawrence Wilson – Artificial Intelligence Academy

Register today at https://fxo.co/6Fqt