Structuring Machine Learning Projects (DeepLearning.AI)

Colleagues, the “Structuring Machine Learning Projects” will equip you 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. Gain highly marketable skills in Decision-Making, Machine Learning, Deep Learning, Inductive Transfer and Multi-Task Learning. Training modules address: 1) ML Strategy (Part I): Streamline and optimize your ML production workflow by implementing strategic guidelines for goal-setting and applying human-level performance to help define key priorities - Why ML Strategy, Orthogonalization, Single Number Evaluation Metrics, Satisficing and Optimizing Metric, Train/Dev/Test Distributions, Size of the Dev and Test Sets, When to Change Dev/Test Sets and Metrics?, Why Human-level Performance?, Avoidable Bias, Understanding Human-level Performance, Surpassing Human-level Performance and Improving your Model; and Performance; and 2) ML - Strategy (Part II): Develop time-saving error analysis procedures to evaluate the most worthwhile options to pursue and gain intuition for how to split your data and when to use multi-task, transfer, and end-to-end deep learning - 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?, and Whether to use End-to-end Deep Learning. 

Enroll today (teams & executives are 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) (Kindle)

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

Machine Learning A-Z: AI, Python & R + ChatGPT Prize

Colleagues, in the “Machine Learning A-Z: AI, Python & R + ChatGPT Prize” training program you will learn to create Machine Learning Algorithms in Python and R from two Data Science experts. [386 lectures - 42 hours 48 minutes of training]. Code templates included. Master Machine Learning on Python & R. Have a great intuition of many Machine Learning models. Make accurate predictions, powerful analysis and robust Machine Learning models. Create strong added value to your business. Use Machine Learning for personal purposes. Handle specific topics like Reinforcement Learning, NLP and Deep Learning and advanced techniques like Dimensionality Reduction. Understand which Machine Learning model to choose for each type of problem. Skill-based training lessons include: 1) Data Preprocessing, 2) Regression, 3) Classification, 4) Clustering, 5) Association Rule Learning, 6) Reinforcement Learning, 7) Natural Language Processing, 8) Deep Learning, 9) Dimensionality Reduction, and 10) Logistic Regression. 

Enroll today (teams & executives are welcome): https://tinyurl.com/5dm58hae 

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) (Kindle)

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

ChatGPT Complete Guide: Learn Midjourney, ChatGPT 4 & More

Colleagues, the “ChatGPT Complete Guide: Learn Midjourney, ChatGPT” program will equip you with 25+ Generative AI Tools to 10x Your Business, Productivity, Creativity | GenAI, ChatGPT, CustomGPTs, Prompt Engineering. Learn to create content, synthesize information, and learn faster than ever with effective prompt engineering, turn your creativity into paid work, generate fresh ideas, reach new audiences, and scale your projects, achieve your goals faster with ChatGPT, manage your time, prioritize tasks, and create an optimized daily schedule, generate targeted content with ChatGPT, capitalize on trends, create ads, newsletters, and media campaigns, improve your communication, leadership, problem-solving, and social skills with personalized ChatGPT feedback, easily create AI-generated speech for any use case and even clone your own voice entirely. [405 lectures • 25 hours 25 minutes of teaching]. Skill-based training modules include: 1) ChatGPT Complete Guide Introduction, 2) ChatGPT: Fundamentals and 150+ Prompting Ideas for ChatGPT, 3) ChatGPT: Prompt Engineering and Custom, 4) ChatGPT: Enhancements, Extensions, and Advanced Features, 5) ChatGPT: Simplify Complex Information, Instantly Proofread, and Re-Organize Data, 6) ChatGPT: Content Creation, Social Media, Copywriting, SEO, and Video Scripts, 7) ChatGPT: Self-Guided Learning, Qualitative and Quantitative Research, 8) Custom GPTs: Create Your Own Custom Versions of ChatGPT, 9) CustomGPTs (Previously Plugin Store): Improve ChatGPT with CustomGPTs, 9) ChatGPT Mobile App: Access the Power of ChatGPT from Your Phone, 10) ChatGPT: How LLM's Work, How GPT Was Trained, and How GPT Generates Outputs, 11) ChatGPT: Real World Use Cases, Spreadsheets, and Training ChatGPT on Writing, 12) ChatGPT: API Key Setup and Building Intelligent Assistants, 13) Gemini: AI-Powered Google Workspace Built Into Gmail, Docs, Sheets, and More, 14) Bing: AI-Powered Search, Chat Using GPT-4, and Image Creation, 15) Notion AI: Write Faster, Use AI Templates, Organize Everything In One Place, 16) Perplexity.AI: For Research and Writing, 17) Google's Vertex AI: Model Customization, Training, and Deployment, 18) Microsoft Copilot: Integrated AI Workflow, 19) Google Gemini: Fundamentals and Creative Text Generation, 20) Make.com: Create Advanced Time Saving Automations, 21) Midjourney: Setup, Settings, Workflow, Commands, Prompting, and Stylization - Reiterating, Upscaling, Aspect Ratios, and Remixing, Advanced Parameters, Editing Your Photos with Midjourney, Product Photography, Landing Pages, and Blending Two Images Together, 22) Adobe Firefly: Generative Art, Text to Image, Re-coloring, and Text Effects - Photoshop AI: Remix, Regenerate, and Reinvent your Images, 23) DALL-E 2: Keyboard Shortcuts, Inpainting, Outpainting, and Image Blending … and much more.

Enroll today (teams & executives are welcome): https://tinyurl.com/4nf3s8f3 

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) (Kindle)

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

OpenAI for Beginners: Programmatic Prompting (training)

Colleagues, in the “Open AI for Beginners: Programmatic Prompting” training you will learn to programmatically prompt an AI model using OpenAI API and Python, enrich existing data using AI via OpenAI API and JSON, and generate information in a web app using an AI model via OpenAI API. Gain high-demand skills in Artificial Intelligence (AI), OpenAI, AI prompting and Large Language Models. In the Guided Learning Project you will programmatically prompt an OpenAI model using the OpenAI API, and utilize the AI to enrich data of an existing movie collection. You will use Python to prompt the davinci-003 OpenAI model based on JSON objects storing details of the user's movie collection. You will enrich the movie collection with data such as director, genre and year of release, as well as dynamically generating the movie plots, through the OpenAI model. You will also learn how to calibrate the model response using the temperature parameter. Learners in this project will create a dynamic AI-driven data enrichment and content generation system for a movie database web app. This project will help developers to implement OpenAI in their projects, using the AI model beyond ChatGPT, generating content or enriching data using an AI model. Skill-based training modules include: 1) Set up OpenAI API, 2) Experiment with the key concepts of OpenAI, 3) Prompt programmatically an OpenAI text model and generate a response, 4) Demonstrate your ability to prompt OpenAI text models via Python and OpenAI API, 5) Data enrich the movie collection with OpenAI, 6) Demonstrate your ability to enrich data with OpenAI API, 6) Generate movie plots programmatically, and 7) Enrich a music collection website with OpenAI. Recommended experience: Foundational knowledge of Python (objects, variables, functions), HTML (tags, attributes, classes), JavaScript/JSON (variables, functions, syntax).

Enroll today (teams & executives are welcome): https://imp.i384100.net/Y9r7PR 

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) (Kindle)

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

Artificial Intelligence: Reinforcement Learning in Python

Colleagues, the “Artificial Intelligence: Reinforcement Learning in Python” will provide you with a complete guide to Reinforcement Learning, with Stock Trading and Online Advertising Applications. [112 lectures • 14 hours 41 minutes of training]. Apply gradient-based supervised machine learning methods to reinforcement learning. Understand reinforcement learning on a technical level. Understand the relationship between reinforcement learning and psychology. Implement 17 different reinforcement learning algorithms. Understand important foundations for OpenAI ChatGPT, GPT-4. Skill-based training modules include: 1) Return of the Multi-Armed Bandit, 2) High Level Overview of Reinforcement Learning, 3) Markov Decision Processes, 4) Dynamic Programming, 5) Monte Carlo, 6) Temporal Difference Learning, 7) Approximation Methods, 8) Interlude: Common Beginner Questions, 8) Stock Trading Project with Reinforcement Learning, 9) Setting Up Your Environment (FAQ by Student Request), 10) Extra Help With Python Coding for Beginners (FAQ by Student Request), 11) Effective Learning Strategies for Machine Learning. 

Enroll today (teams & executives are welcome): https://tinyurl.com/2xpw6ts4 

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) (Kindle)

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

Computer Science for Artificial Intelligence Professional Certificate (HarvardX)

Colleagues, in the “Computer Science for Artificial Intelligence Professional Certificate” program from HarvardX you will gain a robust understanding of computer science and programming. Learn how to think algorithmically and solve programming problems efficiently. Understand the concepts of abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Obtain familiarity in a number of languages, including C, Python, SQL, and JavaScript plus CSS and HTML. Learn how to engage with a vibrant community of like-minded learners from all levels of experience and present a final programming project to your peers.  This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, machine learning, large language models, and other topics in artificial intelligence as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.

Enroll today (teams & executives are welcome): https://edx.sjv.io/1raBe6 

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) (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)

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