AI Academy

Monday, April 8, 2024

Data Science Career Transformation Guide (2024 v1)

Colleagues, the new Data Science Career Transformation Guide includes valuable information that enables you to accelerate your career growth and income potential - Careers, Salaries, 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 the technologies to perform these functions including Python, R, dplyr, Probability and Statistics, Google BigQuery, SQL, Hadoop and Tableau.

Based upon the article “The 20 Top-Paying IT Certifications Going into 2024” Skillsoft identifies two Data Science-related certifications among the highest compensated credentials:

Rank #2: Google Cloud Professional - Data Engineer (Average Annual Salary: $193,621)
Rank #7: Google Cloud Professional - Database Engineer (Average Annual Salary: $163,193)

Indeed.com lists some 599,779+ Data Scientist positions in the United States alone.

There are three critical success factors in our career transformation model. First, Get Trained and Certified. Professionals with best in-class skill sets combined with industry-leading certifications advance more rapidly than your peers and typically earn 3%-5%+ above their colleagues. Second, Get Published. Relevant, succinct and insightful articles on best practices in your technical domain or functional discipline enhance your credibility and integrity. And third, Get Connected. Developing and maintaining a robust professional network - locally and globally - bolsters your career persona and positions you as the “go to” subject matter expert in your field.

Download your free Data Science - Career Transformation Guide.

“Data-Driven Organizations” book series for your listening-reading pleasure:

1 - Data-Driven Decision-Making (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team) [https://aimlacademy.blogspot.com]

Thursday, April 4, 2024

“ChatGPT … ChatGPT, Bard and Beyond” (audio & ebook)

Colleagues, the new book “ChatGPT … ChatGPT, Bard and Beyond” (Audible) (Kindle) explores how generative conversational AI has the potential to improve accessibility for people with disabilities and those who struggle with language barriers, as AI models can be trained to understand and respond to a wide range of languages and dialects. Listen or read this new book now on Amazon. Generative conversational AI represents a major shift in how we interact with technology and has the potential to improve many aspects of our lives, from customer service and support to healthcare and accessibility.

ChatGPT is a specific implementation of Generative conversational AI technology developed by OpenAI. It is a large language model trained on vast text data, allowing it to generate human-like responses to text inputs. In the context of conversational AI, ChatGPT can be used to build chatbots, virtual assistants, and other applications that require the ability to generate text in real time. The model's size and training data allow it to develop highly relevant and human-like text, making it well-suited for various applications. As a state-of-the-art Generative conversational AI, ChatGPT is the perfect tool for organizations looking to step up their communication game. Whether you want to improve interactions with customers, employees, or other stakeholders, ChatGPT makes it easy. Want to see just how much you can achieve with this powerful tool? Key topics include: 1) ChatGPT History and Development, 2) The Technology Underlying ChatGPT, 3) Applications of ChatGPT in Natural Language Processing and Generation, 4) Using ChatGPT for Language Translation and Summarization, 5) ChatGPT in Dialogue Systems and Conversational AI, 6) Ethics and Limitations of ChatGPT, 7) Future Developments and Advancements in ChatGPT, 8) The Impact of ChatGPT on Society, and 9) Conclusions and Next Steps.

Audible (https://audible.com)

Kindle (https://tinyurl.com/yhf7ff27)

Recommended Reading: Access the Transformative Innovation book series on Amazon today!

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)

And download your free AI-ML-DL - Career Transformation Guide.

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

Wednesday, April 3, 2024

Deep Reinforcement Learning

Colleagues, this Deep Reinforcement Learning training program will equip you with high-demand and highly marketable skills to advance your AI career. Learn the deep reinforcement learning skills that are powering amazing advances in AI. Then start applying these to applications like video games and robotics. Training modules include: 1) Introduction to Deep Reinforcement Learning - Get Help with Your Account, Learning Plan and helpful resources to accelerate your learning in this first part of the Nanodegree program, 2) Introduction to RL - Reinforcement learning is a type of machine learning where the machine or software agent learns how to maximize its performance at a task - the RL Framework: The Problem, Learn how to mathematically formulate tasks as Markov Decision Processes, The RL Framework: The Solution In reinforcement learning, agents learn to prioritize different decisions based on the rewards and punishments associated with different outcomes, Monte Carlo Methods, Write your own implementation of Monte Carlo control to teach an agent to play Blackjack!, Temporal-Difference Methods - Learn about how to apply temporal-difference methods such as SARSA, Q-Learning, and Expected SARSA to solve both episodic and continuing tasks, 3) Solve OpenAI Gym's Taxi-v2 Task - explore a mini project using OpenAI Gym!, RL in Continuous Spaces, Learn how to adapt traditional algorithms to work with continuous spaces, and 4) What's Next? - learn all about how to use neural networks as powerful function approximators in reinforcement learning - Value Based Methods, Policy-Based Methods, Multi-Agent Reinforcement Learning. Plus optional courses in Special Topics in Deep Reinforcement Learning, Neural Networks in PyTorch, Computing Resources, and C++ Programming.

Enroll today (teams & executives are welcome): https://tinyurl.com/yyzkk7zj

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)

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

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Kindle) or (Audible - coming soon!)

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

#ai #machinelearning #DeepReinforcementLearning #aiacademy #nlp #llm #chatgpt #gemini #agi #asi #singularity #Neural Networks #orch #MarkovDecisionProcesses #SARSA, Q-Learning #ExpectedSARSA #OpenAI Gym #Taxi-v2 Task ##Monte Carlo Methods #Algorithms

Tuesday, April 2, 2024

AI Software Engineer: ChatGPT, Bard and Beyond (new 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.

AI Engineers have many opportunities, which will only grow with time. After reading this book, I hope you can identify your ideal job offer and manage your short- and long-term career growth plan, especially in artificial intelligence. The world of artificial intelligence is vast. As I stated earlier in this book, it has a current market size of $136.55 billion based on a 2022 report by CAGR, and it will likely reach a growth rate of 37.3% from 2023 to 2030. You can study artificial intelligence from three aspects. First, the narrow artificial intelligence: this is where you learn about strong AI, artificial general intelligence, and narrow artificial intelligence, also known as weak AI. As I mentioned earlier in this book, the tech we use daily is known as narrow artificial intelligence mainly because it focuses on one narrow task. An example is a chess computer, Siri, or Alexa. Artificial narrow intelligence generally operates within a limited predetermined range. Then there is machine learning, an application that allows systems and computers to learn and improve without being programmed. This idea aims to enable systems to learn and adapt automatically without human involvement or support. Deep learning enables inventors to enhance technology such as self-driving vehicles, speech recognition, and facial identification.

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

#ai #artificialintelligence #software #engineer #developer #career # #agi #asi #singularity #audible #kindle #ebook #audiobook #books #interview #negotiation #aiacademy # Siri #Alexa #quantum #gemini #deepmind #openai #meta #anthropic

Google BigQuery Datasets and Visualizing Insights (training)

Colleagues, the Google BigQuery Datasets and Visualizing Insights program will teach you how to ingest new external datasets into BigQuery and visualize them with Google Data Studio. We will also cover intermediate SQL concepts like multi-table JOINs and UNIONs which will allow you to analyze data across multiple data sources. Even if you have a background in SQL, there are BigQuery specifics (like handling query cache and table wildcards) that may be new to you. Training modules include: 1) Course Introduction - Overview of what you will learn in this course, Recap of Google Analytics ecommerce dataset, 2) Storing and Exporting Data - Create new permanent and temporary tables from your query results, Creating Permanent Tables, Temporary Tables and Query Results, Performance Preview: Query Cache, Creating Logical Views, Lab Intro: Creating Permanent Tables and Access-Controlled Views in BigQuery, Getting Started with Google Cloud and Qwiklabs, 4) Ingesting New Datasets into BigQuery - Load and create new datasets inside BigQuery, IIngesting New Data into BigQuery, Lab Intro: Ingesting New Datasets into BigQuery, Background: Partitioned Tables, 5) Joining and Merging Datasets - Understand the differences between SQL JOINs and UNIONs and when to use each, Introducing JOINs and UNIONs, Use table wildcards for easy merges, Linking data across multiple tables, SQL Join examples, Avoiding Pitfalls when Merging Datasets, Recap of Google Analytics ecommerce dataset, Lab Intro: Unioning and Joining Datasets23s, 6) Data Visualization - Create dashboards and visualizations with Google Data Studio, Overview of Data Visualization principles, Comparing Good and Bad Visualizations, Dimensions, Measures, and Reports, Introducing Google Data Studio, Lab Intro: Explore and Create Reports with Data Studio, and 7) Course Summary.

Enroll today (teams & execs welcome): https://tinyurl.com/yjfb7zta

Download your free Data Science and AI-ML-DL - Career Transformation Guides.