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

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.

Recommended Reading: 

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

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

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age  (Audible) (Kindle) 

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

Data Engineering with AWS (training)

Colleagues, the Data Engineering with AWS is program is the foundation for the new world of Big Data. Enroll now to build production-ready data infrastructure, an essential skill for advancing your data career  Training modules with hands-on projects include: 1) Data Modeling - learn to create relational and NoSQL data models to fit the diverse needs of data consumers. Use ETL to build databases in PostgreSQL and Apache Cassandra (Projects: Data Modeling with Postgres and Data Modeling with Apache Cassandra), 2) Cloud Data Warehouses -sharpen your data warehousing skills and deepen your understanding of data infrastructure. Create cloud-based data warehouses on Amazon Web Services (AWS) (Project: Build a Cloud Data Warehouse), 3) Spark and Data Lakes - understand the big data ecosystem and how to use Spark to work with massive datasets. Store big data in a data lake and query it with Spark (Project: Build a Data Lake), 4) Data Pipelines with Airflow - schedule, automate, and monitor data pipelines using Apache Airflow. Run data quality checks, track data lineage, and work with data pipelines in production (Project: Data Pipelines with Airflow), and 5) Capstone Project - combine what you've learned throughout the program to build your own data engineering portfolio project (Project: Data Engineering Capstone).

Enroll today (teams & execs welcome): https://tinyurl.com/53hkud56 

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

Recommended Reading: 

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

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

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age  (Audible) (Kindle) 

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

Data Science with Python and R (training)

Colleagues, the Data Science with Python and R program includes fundamentals of data preparation, data analysis, data visualization, machine learning, and interactive data science applications. Students will learn how to build predictive models and how to create interactive visual applications for their line of business using the Anaconda platform. This course will introduce data scientists to using Python and R for building on an ecosystem of hundreds of high performance open source tools. Training modules address: 1) Open Data Science for Everyone, 2) Background Concepts for Open Data Science, 3) Data Wrangling with Pandas, 4) Anaconda Platform Overview, 5) Creating Interactive Visualizations with Bokeh, 6) Conda Package Management, 7) Data Processing and Visualization in R, 8) Excel and Python with Anaconda Fusion, 9) Excel and Python with Anaconda Fusion, 10) Databases and Distributed Data with Mosaic, 11) Distributed and Parallel Computing with Dask.

Enroll today (teams & execs welcome):  https://tinyurl.com/4ehsru25 

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

Recommended Reading: 

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

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

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age  (Audible) (Kindle) 

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

Python, R, TensorFlow and PyTorch - Career Transformation Guide (2024 v1)

Colleagues, the new Python, R, TensorFlow and PyTorch - Career Transformation Guide (2024 v1) includes up-to-date  information that enables you to accelerate your career growth and income potential - Career, Salaries, 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. Python is the second most popular programming language that developers want to learn based upon the “2023 Stack Overflow Developer Survey”. Moreover, “The Complete Python Developer Salary Guide for 2024”  published by Bluelight is a treasure trove of useful career information for Software Developers. 

PayScale reports an average salary of $156,787 annually for Senior Python Developers in 2024, up from $135,000 per year in 2023.  Python Developer Salary data from Glassdoor mid-level Python Developers earn an average of $132,000 annually in 2024 up from $101,920 last year. 

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 Python, R, TensorFlow and PyTorch - Career Transformation Guide. [https://tinyurl.com/46xshbsz] 

Recommended Reading: 

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

2 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age  (Audible) (Kindle) 

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

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

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