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not enroll today? Visit: https://tinyurl.com/szmb6cl
Our mission is to Train and Certify the next generation of software developers and engineers worldwide in artificial intelligence and machine learning.
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Saturday, November 23, 2019
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
Thursday, November 14, 2019
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
Saturday, November 9, 2019
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
Thursday, November 7, 2019
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
Wednesday, November 6, 2019
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
Monday, November 4, 2019
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
Friday, November 1, 2019
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
Thursday, October 31, 2019
Programming with Python for Data Science
Data Science colleagues, this
program was developed in partnership with Coding Dojo and targets individuals
who have introductory level Python programming experience. The course teaches
students how to start looking at data with the lens of a data scientist by
applying efficient, well-known mining models in order to unearth useful
intelligence, using Python, one of the popular languages for Data Scientists.
Topics include data visualization, feature importance and selection,
dimensionality reduction, clustering, and classification. All of the data sets
used in this course are gathered live-data or inspired by real-world domains
that can benefit from machine learning. The course objectives are: What machine
learning is and the types of problems it is adept to solving, how to represent
raw data in a manner conducive to deriving valuable information, how to use
various data visualization techniques, how to use principal component analysis
and isomap intelligently to simplify your data, how to apply supervised
learning algorithms to your data, and Concepts such as model selection,
pipelining, and cross validation. Training modules include: 1) Data and Features, 2) Exploring Data, 3) Transforming Data, 4) Data
Modeling, 5) Evaluating Data, and 6) Final Exam and Course Wrap-Up. Much
career success, Lawrence Wilson - Artificial Intelligence Academy
Enroll today at: https://tinyurl.com/y3r53dv3
Thursday, October 24, 2019
Analyzing Big Data with Microsoft R Server and Client – Ramp-up your career and income potential
Colleagues, Microsoft R Open is the enhanced distribution of
R from Microsoft Corporation. It is a complete open source platform for
statistical analysis and data science. The main purpose of the course is to
give students the ability to use Microsoft R Server to create and run an analysis
on a large dataset, and show how to utilize it in Big Data environments, such
as a Hadoop or Spark cluster, or a SQL Server database. After completing this course,
students will be able to: Explain how Microsoft R Server and Microsoft R Client work, Use R
Client with R Server to explore big data held in different data stores, Visualize
data by using graphs and plots, Transform and clean big data sets, Implement
options for splitting analysis jobs into parallel tasks, Build and evaluate
regression models generated from big data, Create, score, and deploy
partitioning models generated from big data, and Use R in the SQL Server and
Hadoop environments. You will gain high demand, marketable skills in: 1) Microsoft R Server and R
Client, 2) Exploring Big Data, 3) Visualizing Big Data, 4) Processing Big Data,
5) Parallelizing Analysis Operations, 6) Creating and Evaluating Regression
Models, 7) Creating and Evaluating Partitioning Models, and 8) Processing Big
Data in SQL Server and Hadoop. Career
success awaits you, Lawrence Wilson - Artificial Intelligence Academy
Register today at: https://tinyurl.com/y3e3nfud
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