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.

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 

 “Interview Prodigy” audio & ebook series on Amazon for your reading-listening pleasure (https://tinyurl.com/57ehhjb2). 

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

2 - JavaScript Full Stack Developer: Capture the Job Offer and Advance Your Career  (Audible) (Kindle)

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

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

Deep Learning: From Perceptron to Large Language Models

Colleagues, in the Deep Learning: From Perceptron to Large Language Models program you will understand the essential building blocks of deep neural networks, such as artificial neurons and fully connected, convolutional, recurrent layers, how to build advanced architectures, including the Transformer, TensorFlow and encoders. He describes how these concepts are used to build modern networks for computer vision and Natural Language Processing (NLP), including large language models and multimodal networks. The code repository is located on github.com/NVDLI/LDL. Learn how to Apply core concepts of perceptrons, gradient-based learning, sigmoid neurons, and backpropagation, Utilize DL frameworks to make it easier to develop more complicated and useful neural networks, Utilize convolutional neural networks (CNNs) to perform image classification and analysis, Apply recurrent neural networks (RNNs) and long short-term memory (LSTM) to text and other variable-length sequences, Build a natural language translation application using sequence-to-sequence networks based on the transformer architecture, Use the transformer architecture for other natural language processing (NLP) tasks, and how to engineer prompts for large language models (LLM), and Combine image and text data and build multimodal networks, including an image captioning application. Skill-based lessons cover: 1) Deep Learning Introduction, 2) Neural Network Fundamentals I & II, 3) Convolutional Neural Networks (CNN) and Image Classification, 4) Recurrent Neural Networks (RNN) and Time Series Prediction, 5) Neural Language Models and Word Embeddings, 6) Encoder-Decoder Networks, Attention, Transformers, and Neural Machine Translation, 7) Large Language Models, 8) Multi-modal Networks and Image Captioning, 9) Multi-task Learning and Computer Vision Beyond Classification, and 10) Applying Deep Learning.

Enroll today (teams & execs welcome): https://tinyurl.com/47bs2k86 

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” (Audible) or (Kindle) 

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

Google Advanced Data Analytics Professional Certificate

Colleagues, the next step in your career with the Google Advanced Data Analytics Professional Certificate program. There are over 144,000 open jobs in advanced data analytics and the median salary for entry-level roles is $118,000. Advanced data professionals are responsible for collecting, analyzing, and interpreting extremely large amounts of data. These jobs require manipulating large data sets and using advanced analytics including machine learning, predictive modeling, and experimental design. This certificate builds on your data analytics skills and experience to take your career to the next level. It's designed for graduates of the Google Data Analytics Certificate or people with equivalent data analytics experience. Expand your knowledge with practical, hands-on projects, featuring Jupyter Notebook, Python, and Tableau. Gain high-demand and highly marketable skills in Data Science, Data Analysis, Python Programming, Jupyter Notebooks, Machine Learning, Statistical Analysis, Tableau Software, Data Visualization, Predictive Modeling, Kaggle, Exploratory Data Analysis and Regression Models. Applied Learning Project: This program includes over 200 hours of instruction and hundreds of practice-based assessments, which will help you simulate real-world advanced data analytics scenarios that are critical for success in the workplace. Platforms and tools you will learn include: Jupyter Notebook, Python, Tableau. Skill-based lessons include: 1) Foundations of Data Science, 2) Get Started with Python, 3) Go Beyond the Numbers: Translate Data into Insights, 4) The Power of Statistics, 5) Regression Analysis: Simplify Complex Data Relationships, 6) The Nuts and Bolts of Machine Learning, and Google Advanced Data Analytics Capstone. 

Enroll today (teams & executives are welcome): imp.i384100.net/Py57VM 

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

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)

IBM AI Developer Professional Certificate

Colleagues, the IBM AI Developer Professional Certificate program will equip you with sought-after expertise in building AI-powered chatbots and apps and enable you to launch your AI career in just 6 months. AI Developers are prized software engineers who design, develop, and implement AI and genAI powered apps And virtual assistants. Master the fundamentals of software engineering, AI, generative AI, prompt engineering, HTML, JavaScript and Python programming. And through hands-on labs and projects, you’ll gain practical experience in building AI apps. Obtain a Professional Certificate from Coursera and a digital badge from IBM that showcase your AI proficiency. And you’ll have access to career assistance, job search, and interview preparation resources. Gain job-ready AI skills in just 6 months, plus practical experience and an industry-recognized certification employers are actively looking for. Learn the concepts, key terms, building blocks, and applications of AI, encompassing generative AI. Learn how to build generative AI-powered apps and chatbots using various programming frameworks and AI technologies and how to use Python and Flask to develop and deploy AI applications on the web. Acquire high-demand highly marketable skills in Voice Assistants, Chatbots, Python Programming, Software Engineering, Software Architecture, Agile and Scrum, Software Development Lifecycle, Coding Challenge, Interview Preparation, Full Stack Development, Artificial Intelligence (AI), ChatGPT, Large Language Models (LLM), Natural Language Generation, Generative AI, Prompt Engineering, Prompt Patterns, Web Development, JavaScript, Cascading Style Sheets (CSS), Application development, Web Application, Flask, Code generation, Data Science and Analysis, Data Analysis, Numpy, Pandas, Machine Learning and Deep Learning. Training lessons address: 1) Introduction to Software Engineering, 2) Introduction to Artificial Intelligence (AI), 3) Generative AI: Introduction and Applications, 4) Generative AI: Prompt Engineering Basics, 5) Introduction to HTML, CSS, & JavaScript, 6) Python for Data Science, AI & Development, 7) Developing AI Applications with Python and Flask, 8) Building Generative AI-Powered Applications with Python, 9) Generative AI: Elevate your Software Development Career, and 10) Software Developer Career Guide and Interview Preparation. 

Enroll today (teams & execs welcome): imp.i384100.net/6e4mE3 

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” (Audible) or (Kindle) 

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

Data Analysis with R Programming (Google)

Colleagues, the Data Analysis with R Programming training will teach you how to use RStudio, the environment that allows you to work with R, and the software applications and tools that are unique to R, such as R packages. You’ll discover how R lets you clean, organize, analyze, visualize, and report data in new and more powerful ways. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. Describe the R programming language and its programming environment. Explain the fundamental concepts associated with programming in R including functions, variables, data types, pipes, and vectors. Describe the options for generating visualizations in R. Demonstrate an understanding of the basic formatting in R Markdown to create structure and emphasize content. Obtain crucial skills in Data Analysis, R Markdown, Data Visualization, R Programming and RStudio. Training modules include: 1) Programming and data analytics - Introduction to the exciting world of programming, Fun with R, Carrie: Getting started with R•3 minutes, Programming languages, Introduction to R, Intro to RStudio, 2) Programming using RStudio - Programming using RStudio, Programming fundamentals, Operators and calculations, The gift that keeps on giving, Welcome to the tidyverse, Use pipes to nest code, Connor: Coding tips, 3) Working with data in R - Data in R, R data frames, Working with data frames, Cleaning up with the basics, Organizing your data, Transforming data, Same data, different outcome, The bias function, 4) More about visualizations, aesthetics, and annotations - Visualizations in R•2 minutes, Visualization basics in R and tidyverse, Getting started with ggplot, Joseph: Career path to people analytics, Enhancing visualizations in R, Doing more with ggplot, Aesthetics and facets, Annotation layer, Saving your visualizations, 5) Documentation and Reports - Documentation and reports, Overview of R Markdown, Using R Markdown in RStudio, Structure of markdown documents, Meg: Programming is empowering, Code chunks and Exporting documentation.

Enroll today (teams & executives are welcome): http://imp.i384100.net/Py5MLN 

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

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)

ChatGPT Training: Beginners to Advanced

Colleagues, in the ChatGPT Training: Beginners to Advanced you will be able to upgrade your prompt engineering skills by integrating ChatGPT plugins and ChatGPT APIs to enhance your efficiency. Unlock your potential by crafting your very own chatbot, harnessing the knowledge gained from real-life applications and projects covered in this course, and taking a sneak peek into the future with GPT-4 and ChatGPT Plus. ChatGPT training Course is a smart choice for individuals and organizations looking to enhance their skills and knowledge in the field of language processing and AI. The certification provides a comprehensive understanding of ChatGPT and its capabilities, enabling one to effectively utilize its features for various applications. Additionally, the certification demonstrates an individual's expertise and competence in working with ChatGPT, making them a valuable asset to any organization. Gain high-demand and highly marketable skills in Natural Language Processing, Prompt Engineering, Fine-tuning pre-trained language models, Leveraging ChatGPT for Productivity, Working with ChatGPT and OpenAI API, and Building ChatGPT powered applications. Training lessons include: 1) Introduction to Generative AI, 2) Introduction to ChatGPT and OpenAI, 3) Unleashing the Power of ChatGPT, 4) The Applications of ChatGPT, 5) Human-AI Collaboration and the Future, and 6) Engaging with ChatGPT.

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

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” (Audible) or (Kindle) 

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

Foundations: Data, Data, Everywhere (Google)

Colleagues, the Foundations: Data, Data, Everywhere program from Google will enable your organization  to improve its processes, identify opportunities and trends, launch new products, and make thoughtful decisions. You’ll be introduced to the world of data analytics through a hands-on curriculum developed by Google. Current Google Data Analysts will instruct and provide you with hands-on ways to accomplish common data analyst tasks using the best tools and resources. Gain an understanding of the practices and processes employed by a junior or associate data analyst in their day-to-day job. - Learn about key analytical skills (data cleaning, data analysis, data visualization) and tools (spreadsheets, SQL, R programming, Tableau) that you can add to your professional toolbox. Learn to Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystems, Conduct an analytical thinking self assessment giving specific examples of the application of analytical thinking, Discuss the role of spreadsheets, query languages, and data visualization tools in data analytics and describe the role of a data analyst with specific reference to jobs. Gain high-demand and highly marketable skills including Spreadsheets, Data Analysis, SQL, Data Visualization and Data Cleansing. Training lessons address: 1) Introducing data analytics and analytical thinking - Data analytics in everyday life, Cassie: Dimensions of data analytics, What is the data ecosystem?, How data informs better decisions, Discover data skill sets, Key data analyst skills, All about thinking analytically, Explore core analytical skills, Data drives successful outcomes, Witness data magic; 2) The Wonderful World of Data - Learn about data phases and tools, Stages of the data life cycle, The phases of data analysis and this program, Molly: Example of the data analysis process, Explore data analyst tools; 3) Set Up Your Data Analytics Toolbox - The ins and outs of core data tools, Make spreadsheets your friends, SQL in action, Angie: Everyday struggles when learning new skills, Become a data viz whiz, Lilah: The power of a visualization; and 4) Become a Fair and Impactful Data Professional - The job of a data analyst, Joey: Path to becoming a data analyst, Tony: Supporting careers in data analytics, The power of data in business, Rachel: Data detectives, Understand data and fairness, Alex: Fair and ethical data decisions, Data analysts in different industries and Samah: Interview best practices.

Enroll today (teams & executives are welcome): http://imp.i384100.net/9gK75j 

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

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)