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

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

Friends, the new “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 

Certified Gemini AI Expert

Colleagues, become a Certified Gemini AI Expert as the generative AI trend continues to revolutionize the technological landscape, the demand for skilled AI visionaries is reaching new heights. Join us on an immersive journey that goes beyond merely keeping up with this trend – it empowers you to become a trailblazer. The Certified Gemini AI Expert certification program has been meticulously crafted to provide you with a comprehensive understanding of Gemini AI, Prompts, and their versatile applications. Through this program you will effortlessly acquire the expertise needed to bring imaginative and unparalleled creations to life. Embark on this exhilarating expedition with us, and emerge as a Certified Gemini AI Expert prepared to shape the future of AI-enhanced content creation. Be at the forefront of a world where technology and limitless imagination seamlessly merge to unlock endless possibilities. Skill-based training modules include: 1) Introduction to Gemini AI - What is Gemini AI?, Key Features of Gemini AI, A brief on Gemini Versions: Nano, Pro, Ultra, ChatGPT vs Gemini; 2) AI and Machine Learning in Gemini AI - What is AI?, Types of AI, What is Machine Learning?, Neural Networks, Deep Learning, Natural Language Processing (NLP), Computer Vision, Robotics and AI; 3) Gemini AI Fundamentals - Overview on Multimodal models, Gemini AI Working Mechanism, Gemini: AI Technology Stack, Gemini AI Capabilities; 4) Gemini AI Prompt Engineering - What is Prompt Engineering?, Types of Prompts, Crafting Effective, Prompts for Gemini, Using Gemini to generate prompt, Evaluating Prompt Effectiveness; 5) Using Gemini AI for Creative Content Generation - Gemini AI Walkthrough, How to use Gemini AI to write a poem, How to use Gemini AI to create YouTube video script, How to use Gemini AI to generate blog post; 6) Using Gemini AI for Code Generation - generate, debug and test code, create a Single Login Portal, create a Database Table and  a Website Template; 7) Using Gemini AI for Other Applications - How to use Gemini AI for translation, Image translation and research; 8) Data Privacy in Gemini AI - Potential Risks to Data Privacy in Gemini AI Mitigating Data, Leakage using Data Masking, Using Private Generative AI Models, Role of Privacy by Design in AI, Implementing a Data Privacy Culture; and 9) The Future of Gemini AI - potential impact of Gemini AI on different industries and professions and ethical considerations surrounding the use of Gemini AI. Recommend allocating 1 hour daily to complete the course in 6 Days. 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/muw5za2u 

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 Artificial Intelligence (AI) Developer™

Colleagues, earning Certified Artificial Intelligence (AI) Developer™ certification is the key to a gratifying career in the AI sphere. This certification is specially crafted by experts in AI and covers questions from basic concepts to the very core. Certified AI Developer training is an expertly curated and excellently designed Course, rendering profound knowledge on various aspects of AI. Getting certified as an AI developer will uplift your career. Skill-based training modules include: 1)  to AI - What is AI?, Intelligent Agents, Advantages and Disadvantages of AI, Challenges of AI; 2) Problem Solving - What is Searching?, Uninformed Search Algorithm, Informed Search Algorithm, Adversarial Search, Constraint satisfaction problems; 3) Knowledge Representation And Planning - Knowledge Representation, Knowledge Representation Techniques, Propositional Logic, First Order Logic, Rule-Based System; 4) Probabilistic Reasoning - Basic Probability Concepts, Markov and Hidden Markov Model, Association rules, Dimensionality reduction, Feature Selection and Feature Extraction; 5) Machine Learning - What is Machine Learning?, Types of Learning, Clustering, Classification, Decision Trees, Regression, Support Vector Machine, Reinforcement learning; 6) Communication and Perceiving - What is Machine Learning?, Types of Learning, Clustering, Classification, Decision Trees, Regression, Support Vector Machine, Reinforcement learn; 7) Neural Network - What is a Neural Network?, Types of Neural Network, Neural Network Components, 8) Data Mining Tools - RapidMiner, Working with RapidMiner, Weka, Working with Weka, Orange, R/RStudio, KNIME; and 9) Projects - Installing Prerequisites, Clustering using K-means in Python. Recommend allocating 1 hour daily to complete the course in 12 days. Exams will be conducted for a total of 100 marks - 60+ marks to clear the exam. If you fail to acquire 60+marks, you can retake the exam after one day.

Enroll today (teams & executives are welcome): https://tinyurl.com/mr2ppa48 

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)