ChatGPT Prompt Engineering for Developers (training)

Colleagues, take your AI skills to the next level with the “ChatGPT Prompt Engineering for Developers” program. Use API access to leverage LLMs into your own applications, and learn to build a custom chatbot. In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications. Using the OpenAI API, you will be able to quickly build capabilities that learn to innovate and create value in ways that were cost-prohibitive, highly technical, or simply impossible before now. This short course taught by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI) will describe how LLMs work, provide best practices for prompt engineering, and show how LLM APIs can be used in applications for a variety of tasks, including: Summarizing (e.g., summarizing user reviews for brevity) - Inferring (e.g., sentiment classification, topic extraction) - Transforming text (e.g., translation, spelling & grammar correction) - Expanding (e.g., automatically writing emails) In addition, you’ll learn two key principles for writing effective prompts, how to systematically engineer good prompts, and also learn to build a custom chatbot. All concepts are illustrated with numerous examples, which you can play with directly in our Jupyter notebook environment to get hands-on experience with prompt engineering

Enroll today (teams & executives are welcome): https://tinyurl.com/yhjxjh6v 

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

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) https://tinyurl.com/mae9ku3b or (Kindle) https://tinyurl.com/27jux34w 

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” audiobook on Audible (https://tinyurl.com/bdfrtyj2) or ebook on Kindle (https://tinyurl.com/jfntsyj2) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Kindle) https://tinyurl.com/4bmmad9k  (Audible - coming soon!)

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

Structuring Machine Learning Projects (training)

Colleagues, the “Structuring Machine Learning Projects” program is part of the Deep Learning Specialization from DeppLearning.AI. Learn to diagnose errors in a machine learning system; prioritize strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning. This course draws on Andrew Ng’s experience building and shipping many deep learning products. If you aspire to become a technical leader who can set the direction for an AI team, this course provides the "industry experience" that you might otherwise get only after years of ML work experience. Gain highly marketable skills in Decision-Making, Machine Learning, Deep Learning, Inductive Transfer, and Multi-Task Learning. Training modules include: 1) ML Strategy - Orthogonalization, Single Number Evaluation Metric, Satisficing and Optimizing Metric, Train/Dev/Test Distributions, Size of the Dev and Test Sets, When to Change Dev/Test Sets and Metric?, Human-level Performance?, Avoidable Bias, Understanding Human-level Performance, Surpassing Human-level Performance, Improving your Model Performance, and Andrej Karpathy Interview; and 2) ML Strategy - Part II - Carrying Out Error Analysis, Cleaning Up Incorrectly Labeled Data, Build your First System Quickly, then Iterate, Training and Testing on Different Distributions, Bias and Variance with Mismatched Data Distributions, Addressing Data Mismatch, Transfer Learning, Multi-task Learning, What is End-to-end Deep Learning?, Whether to use End-to-end Deep Learning, and Ruslan Salakhutdinov Interview. 

Enroll today (teams & execs welcome): https://imp.i384100.net/RGPGQa 

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)

Deep Learning Specialization

Colleagues, in the “Deep Learning Specialization” you will master the fundamentals of deep learning and break into AI. You will build and train neural network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, Transformers, and learn how to make them better with strategies such as Dropout, BatchNorm, Xavier/He initialization, and more. Get ready to master theoretical concepts and their industry applications using Python and TensorFlow and tackle real-world cases such as speech recognition, music synthesis, chatbots, machine translation, and natural language processing. Build and train deep neural networks, identify key architecture parameters, implement vectorized neural networks and deep learning to applications. Train test sets, analyze variance for DL applications, use standard techniques and optimization algorithms, and build neural networks in TensorFlow. Build a CNN and apply it to detection and recognition tasks, use neural style transfer to generate art, and apply algorithms to image and video data. Build and train RNNs, work with NLP and Word Embeddings, and use HuggingFace tokenizers and transformer models to perform NER and Question Answering. Skills you'll gain encompass Recurrent Neural Networks, Tensorflow, Convolutional Neural Networks, Artificial Neural Networks, and Transformers. Skill-based training modules address: 1) Neural Networks and Deep Learning, 2) Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization, 3) Structuring Machine Learning Projects, 4) Convolutional Neural Networks, and 5) Sequence Models.

Enroll today (teams & execs welcome): https://imp.i384100.net/EK3BjP 

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)

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 

Certified Prompt Engineer™

AI Colleagues, the new “Certified Prompt Engineer” program from the Blockchain Council will boost your tech and AI career trajectory with our industry-leading Certified Prompt Engineer™ Certification Program. Experience the exponential power of prompt engineering and redefine your proficiency with large language models. Skill-based training modules include: 1) Introduction to Prompt Engineering - What is Prompt Engineering?, Importance and Applications of Prompt Engineering, 2) Understanding Prompts - Definition and Types of Prompts, Components of a Prompt, Understanding Prompt Context Problems and Challenges with Prompts, 3) Principles of Effective Prompt Engineering - Eliciting Desired Response, Eliciting Desired Response – Hands On, Clarity and Specificity in Prompts, Dealing with Ambiguity, Handling Sensitive Topics and Content Safeguards, Importance of Context in Prompt Design, Prompt Strategies for Better Output Useful Prompt Templates, 4) Creating Effective Prompts - Case Studies: Prompt Engineering Examples, Step-by-Step Process of Creating Prompts - Prompt engineering for Text Summarization, Information Extraction, Question Answering, Text Classification, Code Generation, Reasoning, Analyzing and Evaluating Prompt Performance, 5) Working with OpenAI API - OpenAI API, ChatGPT PlayGround, How to set-up ChatGPT add-on?, Get started with ChatGPT in Google Docs and Sheets, Get started with ChatGPT in Google Sheets, 6) Advanced Prompt Engineering - System Messages and Instructions, Dealing with Biases in Prompt Responses, Mitigating Inappropriate or Unwanted Responses, Engineering Prompts for Multilingual and Multicultural Contexts, Building Iterative and Interactive Prompt Chains, 7) Future of Prompt Engineering and AI Conversations - Trends in AI Conversational Models, Innovations and Opportunities in Prompt Engineering, Challenges and Ethical Considerations in Prompt Engineering, and 8) Working with other popular AI tools - Bard and Claude. Followed by the certification session, an exam will be conducted for a total of 100 marks - you need to acquire 60+ marks to clear the exam.

Enroll today (teams & executives are welcome): https://fxo.co/HA2G 

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

“Transformative Innovation” book series for your listening-reading pleasure: 

 

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)

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Colleagues, the “Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning” program is part of the DeepLearning.AI TensorFlow Developer Professional Certificate. Learn best practices for using TensorFlow, a popular open-source machine learning framework. Build a basic neural network in TensorFlow. Train a neural network for a computer vision application. Understand how to use convolutions to improve your neural network. Gain high-demand skills in Computer Vision, Tensorflow and Machine Learning. The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new DeepLearning.AI TensorFlow Developer Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization. Skill-based training modules include: 1) A New Programming Paradigm, 2) Introduction to Computer Vision, 3) Enhancing Vision with Convolutional Neural Networks, and 4) Using Real-world Images. 

Enroll today (teams & execs welcome): http://imp.i384100.net/21ZjKD 

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)

What are the top 5 hottest “Gen AI” programs for 2025?

Colleagues, did you know that a typical AI Engineer earns $102k+ USD according to ZipRecruiter? Here are our top 5 hand-picked Gen AI training programs to boost your career and earnings potential in the New Year. Enroll today in the program(s) that best fit your professional needs and interests:

1. Generative AI for Everyone from DeepLearning.Ai (439k enrolled) (https://imp.i384100.net/9gKrZ4) 

2. Generative AI from Udacity (5 star rating) (https://tinyurl.com/bdcp893b) 

3. Generative AI for Beginners from Udemy (94k students enrolled online) (https://tinyurl.com/mr43tfx7) 

4. Generative AI with Langchain and Hugging Face offered by Krishai Technologies (https://tinyurl.com/3mf9vswy) 

5. Generative AI Course: Masters Program from Edureka (https://tinyurl.com/3vhaw4kp) 

Success awaits you! Lawrence E. Wilson - AI Academy (share & subscribe)