Deep Learning: From Perceptron to Large Language Models (training)

Colleagues, the Deep Learning: From Perceptron to Large Language Models training program will introduce you to the essential building blocks of deep neural networks, such as artificial neurons and fully connected, convolutional, and recurrent layers. It 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. Skill-based training modules address: 1) Deep Learning Introduction - Deep Learning and Its History, Prerequisites, 2) Neural Network Fundamentals - The Perceptron and Its Learning Algorithm, Programming Example: Perceptron, Understanding the Bias Term, Matrix and Vector Notation for Neural Networks, Perceptron Limitations, Solving Learning Problem with Gradient Descent,  Computing Gradient with the Chain Rule, The Backpropagation Algorithm, Programming Example: Learning the XOR Function, What Activation Function to Use, 3) Neural Network Fundamentals II - Datasets and Generalization, Multiclass Classification, Programming Example: Digit Classification with Python, DL Frameworks, Programming Example: Digit Classification with TensorFlow, Programming Example: Digit Classification with PyTorch, Avoiding Saturated Neurons and Vanishing Gradients - Part I, Avoiding Saturated Neurons and Vanishing Gradients - Part II, Variations on Gradient Descent, Programming Example: Improved Digit Classification with TensorFlow, Programming Example: Improved Digit Classification with PyTorch, Problem Types, Output Units, and Loss Functions, Regularization Techniques, Programming Example: Regression Problem with TensorFlow, Programming Example: Regression Problem with PyTorch, 4) Convolutional Neural Networks (CNN) and Image Classification - The CIFAR-10 Dataset, Convolutional Layer, Building a Convolutional Neural Network, Programming Example: Image Classification Using CNN with TensorFlow & PyTorch, AlexNet, VGGNet, GoogLeNet, ResNet, Amplifying Your Data, Efficient CNNs, 5) Recurrent Neural Networks (RNN) and Time Series Prediction - Problem Types Involving Sequential Data, Recurrent Neural Networks, Programming Example: Forecasting Book Sales with TensorFlow & PyTorch, Backpropagation Through Time and Keeping Gradients Healthy, Long Short-Term Memory, Autoregression and Beam Search, Programming Example: Text Autocompletion with TensorFlow & PyTorch, 6) Neural Language Models and Word Embeddings - Language Models, Word Embeddings, Programming Example: Language Model and Word Embeddings with TensorFlow & PyTorch, Word2vec, Programming Example: Using Pre Trained GloVe Embeddings, Handling Out-of-Vocabulary Words with Wordpieces, 7) Encoder-Decoder Networks, Attention, Transformers, and Neural Machine Translation - EncoderDecoder Network for Neural Machine Translation, Programming Example: Neural Machine Translation with TensorFlow & PyTorch, Attention, The Transformer, 8) Large Language Models - Overview of BERT & GPT, From GPT to GPT4, Handling Chat History, Prompt Tuning, Retrieving Data and Using Tools, Open Datasets and Models, Demo: Large Language Model Prompting, 9) Multimodal Networks and Image Captioning - Multimodal learning, Programming Example: Multimodal Classification with TensorFlow & PyTorch, Programming Example: Multimodal Classification with PyTorch, Image Captioning with Attention, Programming Example: Image Captioning with TensorFlow & PyTorch, , Multimodal Large Language Models, 10) Multi-Task Learning and Computer Vision Beyond Classification - Multitask Learning, Programming Example: Multitask Learning with TensorFlow & PyTorch, Programming Example: Multitask Learning with PyTorch, Object Detection with R-CNN, Improved Object Detection with Fast and Faster R-CNN, Segmentation with Deconvolution Network and U-Net, Instance Segmentation with Mask R-CNN, and 11) Applying Deep Learning - Ethical AI and Data Ethics, Process for Tuning a Network. 

Enroll today (teams & executives are welcome): https://tinyurl.com/yckrv8xj 

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)

“ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (new book on Amazon Audible & Kindle)

\Friends, the “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle) book is the latest entry to the “Transformative Innovation” series. AI in all of its manifestations represents a bona fide “generational change” of human society as we know it. AI, like many of the historic innovations of the past, has the unsurpassed potential to impact the human race for both good and evil.  All humanity has a vested interest in ensuring the impact of AI is positive. The alternative is unfathomable: A dystopian environment leading to the destruction of mankind in a Noahic antediluvian episode of human culture by the hands of man himself or the divine, omnipotent hand of our sovereign Creator.

This book has a “5 Star” rating on Amazon. Reader comment “If you're curious about how AI works, how it's changing the world, and what might happen next, this book is great. It's a bit like a guide that helps you understand this complex topic. It's a journey that could open your mind to new ideas and change how you see the world.”

Table of Contents:

I - Introduction

II - The Birth of Artificial Intelligence (AI)

III - AI Research and Development

IV - The AI Quantum Multiplier

V - Technological Synergy

VI - The Ethics of Artificial Intelligence

VII - The Global Race for AI Supremacy

VIII - Understanding Artificial General Intelligence (AGI)

IX - Approaches to AGI Development

X - The Era of Artificial Superintelligence (ASI)

XI - Ensuring Safety in AGI and ASI

XII  - AGI and ASI Impact on Society and the Economy

XIII - AI Singularity (“Technological Singularity”)

XIV - Looking Beyond the Singularity

XV - Conclusions

Our journey will examine the birth of AI, the pending transition to Artificial General Intelligence, the era of Artificial Super Intelligence and thoughts on the possibility of AI (or “Technological”) Singularity. Although some of these topics have verifiable, concrete answers, overall, the pendulum rapidly swings from the domain of the known to the domain of the unknown and speculative in the concluding chapters. Our commitment is to amplify the known (factual) elements of Artificial Intelligence and only when necessary delve into the realm of the unknown (subjective) aspects of AI Singularity … and beyond.

Join us for a journey that will transform your thinking and possibly your life!

Order today:

Audible (https://tinyurl.com/3pswj5sx) 

Kindle (https://www.amazon.com/dp/B0CG536WDN)   

3 Book Series: “Transformative Innovation”: 

 

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) 

Thank you for dropping a brief review on this book’s Audible or Kindle page.

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

AI and Fintech Masterclass

Colleagues, AI and FinTech are the two biggest trends in tech today and for good reasons. The AI and FinTech Masterclass offers an in-depth understanding of AI and FinTech alongside understanding their impact on the financial services industry. It is a concise training resource that helps you learn about the future of AI in Fintech and how AI can improve Fintech solutions. This masterclass also provides an overview of real-world examples to help you understand how you can implement AI and FinTech solutions in your business. It offers access to demo videos, interactive exercises, and engaging lessons on various AI and FinTech topics. You can use this masterclass to understand the true potential of AI and innovation in finance and banking. Skill-based lessons include: 1) Introduction, 2) AI and FinTech fundamentals, 3) Uses cases of AI in FinTech, 4) Challenges and opportunities of using AI in FinTech, 5) AI-powered innovation in banking and finance, and 6) Future predictions and trends. The AI and FinTech masterclass is the most promising training resource for professionals looking to understand AI-driven innovations in banking and finance in a practical way. This masterclass offers detailed explanations of the different examples of applying artificial intelligence in Fintech for a first-hand practical perspective on AI applications for Fintech. This masterclass also shares insights into the potential of AI for transforming the definitions of productivity in Fintech.

Enroll today (teams & executives are welcome): https://tinyurl.com/p2b7n5n2 

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)

Certified Generative AI Expert™

Colleagues, Generative Artificial Intelligence represents the cutting edge of technological innovation, seamlessly blending creativity and intelligence. The Certified Generative AI Expert™ program will equip your maximum career and income growth in this exciting field.  It’s a field where algorithms and networks learn to produce new content, ranging from art and music to text and design, mirroring human ingenuity. According to a recent survey, nearly 100% of global executives believe Generative AI will be important to their strategies. As the frontiers of AI expand, the demand for skilled professionals who can harness its potential is on the rise. The Certified Generative AI Expert™ program from Blockchain Council is designed to transform you into a pioneer in this dynamic landscape Skill-based lessons include: 1) Introduction to Generative AI - What is Generative AI?, Generative AI vs Non-Generative AI, Applications of Generative AI, 2) Generative AI for Text - Understanding Text Data, Introduction to Generative AI for Text, Overview of ChatGPT, ChatGPT in Action for Text Generation, Using Google Bard for Text Generation, 3) Generative AI for Images - Introduction to AI for Image Generation, Introduction to Stable, Diffusion AI Models, Overview of DreamStudio Platform, Generating Images with Stable Diffusion, Editing Images with Stable Diffusion, Prompt Engineering for Image Generation, Challenges in Generative AI for Images, 4) Generative AI for Enterprises - What is Enterprise AI, Regular AI vs Enterprise AI, Introduction to Generative AI for Enterprises, Benefits of Generative AI in Business, Overcoming Challenges in Adopting Generative AI, 5) Generative AI for Public Services - Benefits of Implementing Generative AI in Public Services, Structure of a Generative AI Project, Generative AI in Education, Generative AI in Healthcare, Generative AI in Tourism, Challenges and Solutions in Applying, Generative AI to Public Services, 6) Data Privacy in AI - Potential Risks to Data Privacy in AI, Mitigating Data Leakage using Data Masking, Using Private Generative AI Models, Role of Privacy by Design in AI, Implementing a Data Privacy Culture, 7) Prompt Engineering for Text Analysis and Summarization, Information Extraction, Question Answering, Text Classification, Code Generation, Paraphrasing, Analyzing and Evaluating Prompt Performance, and 8) Upcoming Trends in Generative AI - Generative AI for Sound

and Videos. Followed by the certification session, an exam will be conducted for a total of 100 marks.

Enroll today (teams & executives are welcome): https://tinyurl.com/2wax7rfc 

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)

#Certified Generative AI Expert #blockchaincouncil #blockchainvips #chatgpt #gemini #llama #claude #software #engineer #developer #career #promptengineering #datamasking #AGI #ASI #Singularity #audible #kindle #codegeneration

Spark, Ray, and Python for Scalable Data Science (Training)

Colleagues, Machine learning is moving from futuristic AI projects to data analysis on your desk. The Spark, Ray, and Python for Scalable Data Science training program will equip you need to go beyond following along in discussions to coding machine learning tasks. Spark, Ray, and Python for Scalable Data Science how you how to scale machine learning and artificial intelligence projects using Python, Spark, and Ray. Training level: Beginner to Intermediate. Learn to Integrate Python and distributed computing, Scale data processing with Spark, Conduct exploratory data analysis with PySpark, Utilize parallel computing with Ray, and Scale machine learning and artificial intelligence applications with Ray. Skill-based lessons address: 1) Introduction to Distributed Computing in Python, 2) Scaling Data Processing with Spark, 3) Exploratory Data Analysis with PySpark, 4) Parallel Computing with Ray, and 5) Scaling AI Applications with Ray.

Enroll today (teams & executives are welcome): https://tinyurl.com/3tn5nyjm 

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)

Much career success, Lawrence E. Wilson - AI Academy (share with your team) https://tinyurl.com/hh7bf4m9 

“The Promise of Data-Driven Decision Making - From Analytics to Visualization and Beyond” (new audio & ebook)

Colleagues, “The Promise of Data-Driven Decision Making” is a powerful resource that has the potential to transform the way we approach problem-solving in both our personal and professional lives. By collecting and analyzing data, we can gain valuable insights into the world around us, and use that knowledge to make more informed decisions. Throughout this book, we have explored the various aspects of data-based decision making, including the benefits, challenges, and best practices. We have also examined the different tools and techniques that can be used to collect and analyze data, as well as the ethical considerations that must be taken into account.

Highly data-driven firms are three times more likely to report a major improvement in decision making, according to a large decision survey conducted by PWC. However, only one in three CEOs claim that their company is heavily data-driven. It comes up frequently in meetings with corporate leaders that executives have instant access to large volumes of data. We also learn that their personal intuition or gut feeling plays a significant role in their decision-making. How might the art and science of decision-making be combined better? A more efficient use of data and the capacity to draw insights are seen to present potential for enterprises to generate higher value. Analytics may support an organization's growth and innovation, increase productivity, and improve risk management when they are integrated into the culture of decision-making within the company. The use of facts, metrics, and data to inform strategic business decisions that are in line with a company's goals, objectives, and activities is known as data-driven decision-making. Interactive dashboards, work management platforms, and OKR tools are examples of modern analytics tools that assist individuals overcome prejudice and make the best management decisions that are in line with business strategies. Instead of making decisions based on intuition, opinion, or personal experience, it compiles historical data to examine trends and make better decisions for the future in relation to what has previously worked.

Listen today via Amazon Audible (https://tinyurl.com/ydbyh2t9) 

Or read now on Kindle (https://tinyurl.com/hptundzs) 

This book is part of the “Data-Driven Organizations” series.

1 - The Promise of Data-Driven Decision-Making  (Audible) (Kindle)

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

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