Learn Statistics with Python

Colleagues, join the 31,956 professionals who have taken the Learn Statistics with Python training from Code Academy that focuses on mean, median, mode, standard deviation, and variance of different datasets. Not only will you learn how to calculate these statistics, but you will learn how to interpret them. By getting an understanding of what these statistics represent, you will be able to better describe your own datasets. It includes 15 hours of instruction, and a Certificate of Completion. This program consists of 11 lessons, 6 projects and 6 quizzes. Skill-based training modules cover: 1) Mean, Median and Mode, 2) Variance and Standard Deviation, 3) Histograms, 4) Describing Histograms, 5) Quartiles, Quantiles and Interquartile Range, and 6) Boxplots.

Enroll today (teams & execs welcome): https://fxo.co/DHjf

Download your free AI-ML-DL - Career Transformation Guide (2022 v2).

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (share & subscribe) 

AWS Machine Learning Engineer

Colleagues, according to Glassdoor the average salary for a Machine Learning Engineer is $123,524. The AWS Machine Learning Engineer program from Udacity enables you to master the skills necessary to become a successful ML engineer. The skill-based training modules - each with a hands-on project - include: 1) Introduction to Machine Learning - begin by using SageMaker Studio to perform exploratory data analysis. Know how and when to apply the basic concepts of machine learning to real world scenarios. Create machine learning workflows, starting with data cleaning and feature engineering, to evaluation and hyperparameter tuning. Finally, you'll build new ML workflows with highly sophisticated models such as XGBoost and AutoGluon (Project: Predict Bike Sharing Demand with AutoGluon); 2) Developing Your First ML Workflow - create general machine learning workflows on AWS. You’ll begin with an introduction to the general principles of machine learning engineering. From there, you’ll learn the fundamentals of SageMaker to train, deploy, and evaluate a model. Following that, you’ll learn how to create a machine learning workflow on AWS utilizing tools like Lambda and Step Functions. Finally, you’ll learn how to monitor machine learning workflows with services like Model Monitor and Feature Store. With all this, you’ll have all the information you need to create an end-to-end machine learning pipeline (Project: Build an ML Workflow on SageMaker); 3) Deep Learning Topics within Computer Vision and NLP - train, finetune, and deploy deep learning models using Amazon SageMaker. You’ll begin by learning what deep learning is, where it is used, and which tools are used by deep learning engineers. Next we will learn about artificial neurons and neural networks and how to train them. After that we will learn about advanced neural network architectures like Convolutional Neural Networks and BERT, as well as how to finetune them for specific tasks (Project: Image Classification using AWS SageMaker); 4) Operationalizing Machine Learning Projects on SageMaker - deploying professional machine learning projects on SageMaker. It also covers security applications. You will learn how to maximize output while decreasing costs and how to work with especially large datasets (Project: Operationalizing an AWS ML Project); and 5) Capstone Project: Inventory Monitoring at Distribution Centers - to build this project, students will have to use AWS Sagemaker and good machine learning engineering practices to fetch data from a database, preprocess it and then train a machine learning model. 

Enroll today (teams & execs welcome): https://tinyurl.com/5y4ac8mj

Download your free AI-ML-DL - Career Transformation Guide (2022 v2).

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (share & subscribe) 

Natural Language Processing on Google Cloud

Colleagues, the Natural Language Processing on Google Cloud program includes an overview of sequence model architectures and how to handle inputs of variable length. Predict future values of a time-series, classify free form text, address time-series and text problems with recurrent neural networks, choose between RNNs/LSTMs and simpler models and train and reuse word embeddings in text problems. Training modules: 1) NLP on Google Cloud - NLP APIs such as the Dialogflow API, and the NLP solutions such as Contact Center AI and Document AI, 2) NLP with Vertex AI - explores AutoML and custom training, which are the two options to develop an NLP project with Vertex AI. Additionally, the module introduces an end-to-end NLP workflow and provides a hands-on lab to apply the workflow to solve a task of text classification with AutoML, 3) Text representation - prepare text data in NLP and introduces the major categories of text representation techniques, 4) NLP models - ANN, DNN, RNN, LSTM, and GRU, and 5) Advanced NLP models - encoder-decoder, attention mechanism, transformers, BERT, and large language models.

Enroll today (teams & execs welcome): https://tinyurl.com/5n8ksyd5 

Download your free AI-ML-DL - Career Transformation Guide (2022 v2) 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (share with your team)

Data Science - Career Transformation Guide [2022 v2]

Colleagues, the new Data Science - Career Transformation Guide includes valuable resources that enable you to accelerate your career growth and income potential - Salaries (demand and growth), Certifications and Training programs, Publications and Portals along with Professional Communities and Networking forums. This guide focuses on Data Science, Big Data, Analytics, Pandas and Jupyter Notebooks along with the tools and technologies to perform these functions including Python, R, Probability and Statistics, Google BigQuery, SQL, Hadoop and Tableau. The Global Knowledge 2021 IT Salary Survey ranks Google Certified Professional Data Engineer $171,749 USD #1 out of all certifications. Indeed.com lists some 599,779+ Data Scientist positions in the United States alone. Our three-fold career advancement strategy is to Get Certified, Get Published and Get Connected. Success awaits you.

Review and enroll today (teams & execs are welcome). 

Download your free Data Science - Career Transformation Guide. 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (share with your team) 

Python, R, TensorFlow and PyTorch - Career Transformation Guide [2022 v2]

Dev colleagues, the new Python, R, TensorFlow and PyTorch  - Career Transformation Guide includes valuable information that enables you to accelerate your career growth and income potential - Career opportunities, Salaries (demand and growth), Certifications and Training programs, Publications and Portals along with Professional Forums and Communities. The Certification and Training programs are categorized by Python, R, TensorFlow and PyTorch. The average salary for Python Developers in the US is $111,225 according to CareerFoundry. Salary.com reports the median salary for Python Developers across the US is $95,120 USD. For Python Developers with formal training and expertise in TensorFlow and/or PyTorch mathematical libraries AIA projects an additional 3%-5%+ positive income delta is quite realistic. Therefore, the Artificial Intelligence Academy highly recommends that Python Developers also acquire TensorFlow and/or PyTorch training and certification. Analytics Insight project demand for Python developers to rank #1 among all programming languages in 2023.

Review and enroll today (teams & execs are welcome): https://tinyurl.com/49bsr6s5 

Download your complimentary Python, R, TensorFlow and PyTorch  - Career Transformation Guide. 

Much career success, Lawrence E. Wilson -  Artificial Intelligence Academy (share with your team) 

Artificial Intelligence-Machine Learning-Deep Learning - Career Transformation Guide [2022 v2]

Colleagues, our updated Artificial Intelligence-Machine Learning-Deep Learning - Career Transformation Guide includes valuable information that enables you to accelerate your career growth and income potential - Career opportunities, Salaries (demand and growth), Certifications and Training programs, Publications and Portals along with Professional Forums and Communities. The Certification and Training programs are categorized by Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing and Computer Vision. Glassdoor estimates the average salary for a Machine Learning Engineer at $131,001 USD. Indeed lists 2091  openings with an averMachine Learning Engineer age nationwide salary of $131,276 USD. The San Francisco Bay Area is the high-end of the salary range at $193,485 with Eden Prairie, Minnesota at $106,780. SimplyHired now has 868,669 Computer Vision career listings alone. Seize the opportunity. Success awaits you!

Review and enroll today (teams & execs are welcome): https://tinyurl.com/4sc72nu5 

Download your complimentary Artificial Intelligence-Machine Learning-Deep Learning - Career Transformation.

Much career success, Lawrence E. Wilson -  Artificial Intelligence Academy (share with your team) 

Data Science - Career Transformation Guide

Colleagues, the new Data Science - Career Transformation Guide (2022 v2) includes valuable resources that enable you to accelerate your career growth and income potential - Salaries (demand and growth), Certifications and Training programs, Publications and Portals along with Professional Communities and Networking forums. This guide focuses on Data Science, Big Data, Analytics, Pandas and Jupyter Notebooks along with the tools and technologies to perform these functions including Python, R, Probability and Statistics, Google BigQuery, SQL, Hadoop and Tableau. The Global Knowledge 2021 IT Salary Survey ranks Google Certified Professional Data Engineer $171,749 USD #1 out of all certifications. Indeed.com lists some 599,779+ Data Scientist positions in the United States alone. Our three-fold career advancement strategy is to Get Certified, Get Published and Get Connected. Success awaits you.

Review and enroll today (teams & execs are welcome). 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (share & subscribe)

Download your complimentary Data Science - Career Transformation Guide. 

Top 10 Python Developer Certification & Training Programs (#5)

Colleagues, #5 on our Top 10 Countdown is the Data Visualization with Python program. You will learn  several essential data visualization techniques, when to use them, and how to implement them with Python and Matplotlib. Gain thorough knowledge of data visualization. In this course, Introduction to Data Visualization with Python, you'll learn how to use several essential data visualization techniques to answer real-world questions. First, you'll explore techniques including scatter plots. Next, you'll discover line charts and time series. Finally, you'll learn what to do when your data is too big. When you're finished with this course, you'll have a foundational knowledge of data visualization that will help you as you move forward to analyze your own data. Training modules include: 1) Introduction to Jupyter, Pandas, and Matplotlib, 2) Finding Distribution of Data with Histograms, 3) Creating Time Series with Line Charts, 4) Examining Relationships in Data with Scatter Plots, 5) Comparing Data with Bar Graphs, 6) What to Do When Your Data Is Too Big, and 7) Solving Real-world Problems with Visualization. Skill-based training modules include: 1) Introduction to Jupyter, Pandas, and Matplotlib, 2) Finding Distribution of Data with Histograms, 3) Creating Time Series with Line Charts, 4) Examining Relationships in Data with Scatter Plots, 5) Comparing Data with Bar Graphs, 6) What to Do When Your Data Is Too Big, and 7) Solving Real-world Problems with Visualization.

Enroll today (teams & execs welcome): https://tinyurl.com/3rnen3u9  

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (share & subscribe) 

Download your complimentary Python, TensorFlow & PyTorch - Career Transformation Guide.

Top 10 Countdown - Machine Learning Certification & Training Programs (#5)

Colleagues, #5 on our Top 10 Countdown is the Machine Learning Engineering Career Track Program.  Learn to deploy ML Algorithms and build your own portfolio. More than 50% of the Springboard curriculum is focused on production engineering skills. In this course, you'll design a machine learning/deep learning system, build a prototype and deploy a running application that can be accessed via API or web service.  The 500+ hour curriculum features a combination of videos, articles, hands-on projects, and career-related coursework.  Skill-based training modules include: 1) Battle-Tested Machine Learning Models, 2) Deep Learning, 3) Computer Vision and Image Processing, 4) The Machine Learning Engineering Stack, 5) ML Models At Scale and In Production, 6) Deploying ML Systems to Production, and 7) Working With Data. You will build a realistic, complete, ML application that’s available to use via an API, a web service or, optionally, a website. One-on-one Mentorship provides you with weekly guided calls with your personal mentor, an industry expert. Our career coaching calls will help your mentor. Create a successful job search strategy, Build your Machine Learning Engineering network, Find the right job titles and companies, Craft a Machine Learning Engineer resume and LinkedIn profile, Ace the job interview and Negotiate your salary. 

Enroll today (teams & execs welcome): https://fxo.co/BWBp 

 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (share & subscribe)

Down your complimentary AI-ML-DL - Career Transformation Guide (2022 v2).

Data Science - Top 10 Countdown of Certification & Training Programs (#3)

Colleagues, #3 on our Top 10 Countdown is the Data Science Certification Course using R.  Gain expertise in Machine Learning Algorithms such as K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes using R. This Data Science with R  Training encompasses a conceptual understanding of Statistics, Time Series, Text Mining and an introduction to Deep Learning. Throughout the R Programming Course, you will implement real-life use-cases on Media, Healthcare, Social Media, Aviation and HR. Skill-based training modules include: Introduction to Data Science with R, Statistical Inference, Data Extraction, Wrangling and Exploration, Introduction to Machine Learning, Classification Techniques, Unsupervised Learning, Recommender Engines, Text Mining, Time Series and Deep Learning. Skill-based training modules include: 1) Statistical Inference, 2) Data Extraction, Wrangling and Exploration, 3) Introduction to Machine Learning, 4) Classification Techniques, 5) Unsupervised Learning, 6) Recommender Engines, 7) Text Mining, 8) Time Series, and 9) Deep Learning.

Enroll today (teams & execs welcome): https://fxo.co/EFzP 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (share & subscribe)

Download your complimentary Data Science - Career Transformation Guide.