Python Django Certification Training – Time to jumpstart your Python career & income opportunities

Software Developers and Engineers, this Django course helps you gain expertise in Django REST framework, Django Models, Django AJAX, Django jQuery etc. You'll master Django web framework while working on real-time use cases and receive Django certification at the end of the course. The Python Django Training and Certification course is intended to help the learner obtain proficiency in Python programming and develop real-world web applications using Django. This course will cover both the basics and the advanced concepts like writing Python scripts, file operations in Python, working with Databases, creating Views, Templates, Forms, Models and REST APIs in Django. Django is a high level Python Web framework that encourages rapid development and clean, pragmatic design. Built by experienced developers, it takes care of much of the hassle of Web development, so you can focus on writing your app without needing to reinvent the wheel. It's free and open source. Learning objectives encompass: Know why Python is popular, Setup Python environment, discuss flow control, and Write your first Python program. Training segments include: 1) Learn about Interpreted Languages, 2) List the Advantages/Disadvantages of Python, 3) Explore Pydoc, 4) Start Python, 4) Discuss Interpreter PATH, 5) Use the Interpreter, 6) Run a Python Script, 6) Use Python Scripts on UNIX/Windows, 7) Explore Python Editors and IDEs. Much career success, Lawrence Wilson – Artificial Intelligence Academy   

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

Recurrent and Recursive Neural Network Training – Ride the AI-ML tsunami to new income & career growth

Software Developers & Engineers, this program is designed to offer the audience an introduction to recurrent neural network, why and when use recurrent neural network, what are the variants of recurrent neural network, use cases, long-short term memory, deep recurrent neural network, recursive neural network, echo state network, implementation of sentiment analysis using (Recurrent Neural Network) RNN, and implementation of time series analysis using RNN. You will gain a rich understanding of: Understand: What is a recurrent neural network, Different types of networks such as recursive, echo state networks, LSTM (Long Short-term Memory) and deep recurrent network, effectively choose the right recurrent neural network model to solve real-world problems, and Implement a simple recurrent neural network in Python. Core training modules which will expand your marketable skills include: 1) Recurrent Neural Network, 2) Long-short term memory, 3) Deep recurrent neural network, 4) Recursive neural network, 5) Echo state networks, 6) Final exam, and 7) Implement Recurrent neural network step by step in Python. Much career success, Lawrence Wilson – Artificial Intelligence Academy    

Why not enroll today? Visit: https://tinyurl.com/sxnks6d

Unsupervised Learning – Clustering: Punch your ticket to AI-ML career and earnings success

AI & ML Professionals, this training program will focus on Clustering algorithms and methods through practical examples and code. More importantly, it will get you up and running quickly with a clear conceptual understanding. The course has code and sample data for you to run and learn from. It also encourages you to explore your own datasets using Clustering algorithms. Prerequisites: Beginner knowledge of Python. It's used mostly for expository reasons. You do not need to be a Python expert. Training modules include: 1) K-Means Clustering, 2) Gaussian Mixture Models, 3) Hierarchical Clustering, 4) Methods for Selecting Number of Clusters, 5) Evaluating the Quality of the Clustering, 5) Industry Applications, 6) Mini-Project: Pulling It All Together, and 6) Mini-Project Solution Preview. Much career success, Lawrence Wilson – Artificial Intelligence Academy   

Why not enroll today? Visit:  https://tinyurl.com/rm6rx5v  

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