(#10) Top 10 Countdown - Best AI Certifications, Degrees & Masterclasses (2024) - "AWS Certified Machine Learning"

AWS Certified Machine Learning - AWS Machine Learning-Specialty (ML-S) Certification exam, AWS Exploratory Data Analysis covers topics including data visualization, descriptive statistics, and dimension reduction and includes information on relevant AWS services, Machine Learning Modeling. What You Will Learn to perform data engineering tasks on AWS* How to use Exploratory Data Analysis (EDA) to solve machine learning problems and modeling tasks on the AWS platform, operationalize machine learning models and deploy them to production on the AWS platform, and how to think about the AWS Machine Learning-Specialty (ML-S) Certification exam to optimize for the best outcome. This 7+ hour Complete Video Course is fully geared toward the AWS Machine Learning-Specialty (ML-S) Certification exam. The course offers a modular lesson and sublesson approach, with a mix of screencasting and video teaching: 1) Data Engineering instruction covers the ingestion, cleaning, and maintenance of data on AWS.* Exploratory Data Analysis covers topics including data visualization, descriptive statistics, and dimension reduction and includes information on relevant AWS services. 2) Machine Learning Modeling covers topics including feature engineering, performance metrics, overfitting, and algorithm selection, and 3) Operations covers deploying models, A/B testing, using AI services versus training your own model, and proper cost utilization.Each module offers module quizzes and a practice exam in multiple-choice format.

Download your free Artificial Intelligence-Machine Learning-Deep Learning - Career Transformation Guide. (https://tinyurl.com/2sbw2y5p)

Transformative Innovation book series:

 

1 - ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)

2 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle) 

3 - The Race for Quantum Computing (Audible) (Kindle) 

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

AI Software Engineer: ChatGPT, Bard and Beyond (audio & ebook)

Colleagues, the purpose of the “AI Software Engineer: ChatGPT, Bard and Beyond” (Interview Prodigy series) help software engineers and developers capture their ideal job offer and manage their medium-to-long-term career growth in the global artificial intelligence arena. We will focus on artificial intelligence software engineers and developers in this series. Artificial intelligence has proven to be a revolutionary part of the digital era. As a result, top tech giants like Amazon, Google, Apple, Facebook, Microsoft, and International Business Machines Corporation have been investing significantly in the research and development of artificial intelligence. As a result, these companies are contributing well to making A.I. more accessible for businesses. In addition, different companies have adopted A.I. technology for improved customer experience. For example, in March 2020, McDonald's invested $300 million to acquire an A.I. startup in Tel Aviv to provide a personalized experience for its customers using artificial intelligence. This was its most significant tech investment.

Order today: 

(Audible) https://tinyurl.com/mae9ku3b

(Kindle) https://tinyurl.com/27jux34w 

Transformative Innovation (book series):

 

1 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle) 

2 - ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)

3 - The Race for Quantum Computing  (Audible) (Kindle) 

Regards, Genesys Digital (Amazon Author Page) https://tinyurl.com/hh7bf4m9 

Top 3 Strategies to advance your TensorFlow Developer career

Colleagues, the average salary for a TensorFlow Developer is $132,215+ according to ZipRecruiter.  First, Get Certified: A high quality cert from a reputable vendor or professional association may boost your income by 5%-10%. In the Deep Learning with TensorFlow program you will master popular algorithms like CNN, RCNN, RNN, LSTM, RBM using the latest TensorFlow 2.0 package in Python. Deep Learning with Tensorflow, Keras and PyTorch - build deep learning models in all the major libraries: TensorFlow, Keras, and PyTorch along with artificial neural networks. And Advanced Deployment Scenarios with TensorFlow - gain expertise in TensorFlow Extended, TF Hub, Transfer learning, Inference, Module storage, Text based model, Word embeddings, Experimenting with embeddings, Colab1m, Classify cats and dogs and Transfer learning), 3 - Tensorboard and Federated Learning. Second, Get Published. Write a 1-2 page article on Best Practices or Industry Trends for Medium, LinkedIn Articles or Technology.org. Third, Get Connected. Join the TensorFlow Forum. Sign-up for the TensorFlow Community on GitHub and subscribe to the TensorFlow User Group on LinkedIn.

Enroll in one or more programs today (teams & execs welcome): 

• Deep Learning with TensorFlow

• Deep Learning with Tensorflow, Keras and PyTorch

• Advanced Deployment Scenarios with TensorFlow

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

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

Artificial Intelligence-Machine Learning-Deep Learning - Career Transformation Guide

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 $151,000 USD. Indeed lists some 2091 openings with an average Machine Learning Engineer nationwide salary of $160,320 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.

Enroll today in industry-leading AI-ML-DL certification and training programs that will boost your career and income growth. Success awaits you!

Download your free Artificial Intelligence-Machine Learning-Deep Learning - Career Transformation Guide. (https://tinyurl.com/2sbw2y5p)

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

Software Development - Career Transformation Guide

Developers, the new Software Development - 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 guide covers C, Containers, Git and GitHub, Java, Mobile (iOS & Android), SQL and Web Development (front-end). There are separate guides for: 1) Python, R, TensorFlow and PyTorch and 2) Linux and Open Source. Glassdoor reports the average Software Developer salary across the US at $97,763. According to ZipRecruiter there are currently 779,726 Software Developer positions open in the US alone. In addition to “language and toolset-specific” demand and corresponding salaries there is a widespread demand for “Fullstack” Developers (front-end/back-end) in the Web Development, Artificial Intelligence-Machine Learning and Blockchain-Ethereum arenas. This guide focuses on C, Containers (Docker & Kubernetes), Java, GitHub, SQL and front-end Full Stack (including JavaScript, Angular, React, Node.js, HTML and XML.) and Mobile (iOS & Android).

Review and enroll today (teams & execs are welcome): https://tinyurl.com/2zw9jbym 

Download your free Software Development - Career Transformation Guide. 

Much career success, Lawrence E. Wilson - Online Learning Central (share with your team) 

Top 3 strategies for Machine Learning career success

Colleagues Fortune Business Insights projects total Machine Learning market growth through 2029 with a 38.8% CAGR .Glassdoor estimates the average salary for a Machine Learning Engineer at $122,963 USD. First, Get Certified: A high quality cert from a reputable vendor or professional association may boost your income by 5%-10%. Our top recommendation is Python Machine Learning Certification Training using Python that equips you with various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes, and Q-Learning. Next is AWS Certified Machine Learning - AWS Machine Learning-Specialty (ML-S) Certification exam, AWS Exploratory Data Analysis covers topics including data visualization, descriptive statistics, and dimension reduction and includes information on relevant AWS services, Machine Learning Modeling. Finally is the Machine Learning Engineer program that teaches you the data science and machine learning skills required to build and deploy machine learning models in production using Amazon SageMaker, Deep Learning Topics within Computer Vision and NLP, Developing Your First ML Workflow, Operationalizing Machine Learning Projects, and a Capstone Project - Inventory Monitoring at Distribution Centers, Second, Get Published. Write a 1-2 page article on Best Practices or Tech Trends for Medium, LinkedIn Articles or Technology.org. Third, Get Connected. Subscribe to the Data School channel on YouTube (200k members). Join Reddit’s Machine Learning group (2.5m members. Then register for the Wolfram Machine Learning discussion forum.

Enroll in one or more programs today (teams & execs welcome): 

• Python Machine Learning Certification Training using Python

• AWS Certified Machine Learning

• Machine Learning Engineer 

Down your complimentary AI-ML-DL - Career Transformation Guide.

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

Top 3 Python for Data Science training programs

Dev colleagues, the average salary for a Python developer is $120,968 in the US according to Salary Expert. Here are 3 top-rated programs for career and income growth. First, Interpreting Data Using Statistical Models with Python. Gain the ability to go one step beyond visualizations and basic descriptive statistics, by harnessing the power of inferential statistics. First, you will learn how hypothesis testing, which is the foundation of inferential statistics, helps posit and test assumptions about data. Next, discover how the classic t-test can be used in a variety of common scenarios around estimating means. Also learn about related tests such as the Z-test, Pearson’s Chi-squared test, Levene’s test and Welch’s t-test for dealing with populations that have unequal variances. Second is the Statistics with Python training by 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. And third, Applied Data Scientist with Python. Solve data science problems, software and data engineering for  data scientists, experiment design and recommendations, data science projects. Skill-based training modules with hands-on projects. Solving Data Science Problems, Software Engineering for Data Scientists, Data Engineering for Data Scientists, and Experiment Design.

Enroll today in one or more programs (teams & execs welcome).

Download your complimentary Python - Career Transformation Guide.

View the Developer’s Guide from the Python Software Foundation.

Career success awaits you, Lawrence Wilson - Artificial Intelligence Academy (share with your team)