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

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

“Transformative Innovation” Audio and eBook series (Audible & Kindle Book Series (Amazon)

 

“Transformative Innovation” Audio and eBook series (Audible & Kindle Book Series (Amazon)

Transformative Innovation 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) 

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

Deep Learning - Career Paths (2026)

Colleagues, implementing a well-defined, forward-thinking career development plan can boost your career and income growth over a 30-year life cycle. According to Straits Research “The global deep learning market size was valued at USD 82.27 billion in 2024 and is projected to reach from USD 110.25 billion in 2025 to USD 1146.06 billion by 2033, growing at a CAGR of 34% during the forecast period (2025-2033)” making DL one of the fastest growing segments in AI. Base salary for a junior DL Engineer is $115,864 according to ZipRecruiter with plenty of upside potential based upon experience and certification/training. Making modest investments in your professional training and certification will reward you with greatly enhanced income potential.

Junior Level (5 years of experience)

• Title(s): Junior Deep Learning Engineer, AI/ML Intern (Deep Learning Focus), Deep Learning Research Assistant

• Sample Training & Certs: Introduction to Deep Learning, Deep Learning - Nanodegree Program

Intermediate (10 years of experience)

• Title(s): Deep Learning Engineer, Computer Vision Engineer, Natural Language Processing (NLP) Engineer, MLOps Engineer

• Sample Training & Certs: Deep Learning with TensorFlow, Deep Learning with TensorFlow & PyTorch, Deep Learning with Tensorflow, Keras and PyTorch 

Advanced (15 years of experience)

• Title(s): AI/DL Practice Manager, AI/ML/DL Vice President, AI/ML/DL Development Director, Senior Deep Learning Engineer, Deep Learning Solutions Architect, Applied Scientist (Deep Learning), Deep Learning Researcher

• Sample Training & Certs: TensorFlow Developer Professional Certificate, Machine Learning A-Z: AI, Python & R 

Expert (Executive-Refresher) (20 years of experience)

• Title(s): AI/DL Consultant, Director of AI/Deep Learning, Principal Engineer/AI Fellow, Chief AI Scientist

• Sample Training & Certs: TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning, 

Note: For a more comprehensive roster of Deep Learning certifications visit Coursera, DeepLearningAI, edX, InformIT, Udacity, Udemy, Google, IBM, Microsoft and Meta.

Deep Learning Specializations, Master Classes and Certifications

• Apply Generative Adversarial Networks (GANs)

• Data Structures, Algorithms, and Deep Learning Optimization

• Deep Learning A-Z 2025: Neural Networks, AI & ChatGPT

• Deep Learning - Nanodegree Program

• Deep Learning and Reinforcement Learning

• Deep Learning with PyTorch

• Deep Learning Specialization

• Deep Learning with TensorFlow

• Deep Learning with TensorFlow & PyTorch

• Deep Learning with Tensorflow, Keras and PyTorch

• Generative Deep Learning with TensorFlow

• Introduction to Deep Learning

• Machine Vision, GANs, and Deep Reinforcement Learning

• Machine Learning with Python: from Linear Models to Deep Learning

• Machine Learning A-Z: AI, Python & R

• Neural Networks and Deep Learning

• Structuring Deep Learning Projects

• TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

• TensorFlow Developer Professional Certificate

Get started today (teams & execs are welcome).

Recommended Reading: See the “Transformative Innovation” book series

 

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

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

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

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

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

Much success in your Deep Learning career journey, (AI Academy) (share with colleagues & friends) 

Top 3 strategies for Deep Learning career success (2026)

Colleagues, Grand View Research estimates “The global deep learning artificial intelligence market size was valued at US$ 98,723.0 million in 2025 and is estimated to grow at a compound annual growth rate (CAGR) of 26.9% from 2025 to 2033.” While Glassdoor projects the average salary for a Deep Learning Engineer at $151,000 USD this 2026 (compensation will vary based on location and experience level).

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 Generative Deep Learning with TensorFlow that equips you with various deep learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes, and Q-Learning. Next is Deep Learning and Reinforcement Learning which covers topics including data visualization, descriptive statistics, and dimension reduction and includes information on relevant Deep Learning Modeling. Finally is the Machine Learning with Python: from Linear Models to Deep Learning 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. And third, Get Connected. Subscribe to the Data School channel on YouTube (26,000 members). Join Reddit’s Deep Learning group with 110,000 weekly visitors. Then register for the Wolfram Deep Learning with Wolfram Neural Networks community.

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

• Deep Learning and Reinforcement Learning

• Generative Deep Learning with TensorFlow

• Machine Learning with Python: from Linear Models to Deep Learning

Much career success, Artificial Intelligence Academy (share & subscribe with your colleagues)