Data Structures and Algorithms (training)

Colleagues, in the Data Structures and Algorithms program you will learn data structures and algorithms by solving 80+ practice problems. You will begin each course by learning to solve defined problems related to a particular data structure and algorithm. By the end of each course, you would be able to evaluate and assess different data structures and algorithms for any open-ended problem and implement a solution based on your design choices. Knowledge of Python and Basic Algebra is recommended. Skill-based training modules include: 1) Introduction - meet your instructors, and refresh your Python skills. Learn the framework to deconstruct any open-ended problem and then understand the concepts of time and space complexity (Project: Unscramble Computer Science Problems), 2) Data Structures - can be used to store data. Implement different methods used to manipulate these data structures and examine the efficiency. Understand the advantages and applications of different data structures. Learn how to approach open ended problems (either in interview or real-world) and select appropriate data structures based on requirements (Project: Show Me the Data Structures, 3) Basic Algorithms - such as searching and sorting on different data structures and examine the efficiency of these algorithms. Use recursion to implement these algorithms and then learn how some of these algorithms can be implemented without recursion. Practice selecting and modifying these algorithms for a variety of interview problems (Project: Problems vs. Algorithms), and 4) Advanced Algorithms - such as brute-force greedy algorithms, graph algorithms, and dynamic programming which optimizes recursion by storing results to sub problems. (Project: Route Planner).

Enroll today (teams & execs welcome): https://tinyurl.com/3ua6b24c 

Download your free Data Science - Career Transformation Guide.

“Data-Driven Organizations”  book series for your listening-reading pleasure: 

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)

“ChatGPT … ChatGPT, Bard and Beyond” (new audio & ebook)

Colleagues, the new book “ChatGPT … ChatGPT, Bard and Beyond”(Audible) (Kindle) explores how generative conversational AI has the potential to improve accessibility for people with disabilities and those who struggle with language barriers, as AI models can be trained to understand and respond to a wide range of languages and dialects. Listen or read this new book now on Amazon. Generative conversational AI represents a major shift in how we interact with technology and has the potential to improve many aspects of our lives, from customer service and support to healthcare and accessibility. 

ChatGPT is a specific implementation of Generative conversational AI technology developed by OpenAI. It is a large language model trained on vast text data, allowing it to generate human-like responses to text inputs. In the context of conversational AI, ChatGPT can be used to build chatbots, virtual assistants, and other applications that require the ability to generate text in real time. The model's size and training data allow it to develop highly relevant and human-like text, making it well-suited for various applications. As a state-of-the-art Generative conversational AI, ChatGPT is the perfect tool for organizations looking to step up their communication game. Whether you want to improve interactions with customers, employees, or other stakeholders, ChatGPT makes it easy. Want to see just how much you can achieve with this powerful tool? Key topics include: 1) ChatGPT History and Development, 2) The Technology Underlying ChatGPT, 3) Applications of ChatGPT in Natural Language Processing and Generation, 4) Using ChatGPT for Language Translation and Summarization, 5) ChatGPT in Dialogue Systems and Conversational AI, 6) Ethics and Limitations of ChatGPT, 7) Future Developments and Advancements in ChatGPT, 8) The Impact of ChatGPT on Society, and 9) Conclusions and Next Steps.

Audible (https://audible.com)

Kindle (https://tinyurl.com/yhf7ff27) 

Recommended Reading: Access the Transformative Innovation book series on Amazon today! 

 

1 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) (Kindle) 

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

3 - “The Race for Quantum Computing” (Audible) (Kindle) 

And download your free AI-ML-DL - Career Transformation Guide.

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

Top 10 AI Certifications, Degrees & Masterclasses (2024) - #6 Machine Learning with Python for Finance Professionals

#6 - Colleagues, the “Machine Learning with Python for Finance Professionals” program provides you with the Python skills for finance professionals looking to maximize their use of these time-saving tools within their organization. This course will provide a view of what lies under the surface of a machine learning output, help to better interrogate a model, and partner with data scientists and others in an organization to drive adoption and use of machine learning. Digital finance knowledge and skills are essential components of the technology transformation as business becomes increasingly customer focused. And having the skills to understand how these technologies are deployed and integrated into a customer centric business strategy is essential. With 16 Jupyter Notebooks available, alongside corresponding solution notebooks, and bonus exercises you will quickly become skilled in specific time-saving Machine Learning tools. Skill-based training modules include: 1)  Introduction to Python, 2) Python for Data Analysis, 3) Automating Excel using Python, and 4) Machine Learning with Python. 

Enroll today (teams & execs welcome): https://fxo.co/HFFu

Download your free Finance, Accounting & Banking - Career Transformation Guide.

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

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)

Google AI for JavaScript developers with TensorFlow.js

Get productive with the “Google AI for JavaScript developers with TensorFlow.js” training program. From pre-made off the shelf models to writing or training your own, learn how to create next gen web apps. This course offers a solution and the knowledge to be the "missing manual" for JavaScript users without a background in Machine Learning. Machine Learning (ML) on the web is growing faster than ever so now is the time to take your first steps too. Learn what the difference is between Artificial Intelligence, Machine Learning, and Deep Learning but also how to use such techniques practically through real examples using TensorFlow.js - Google's leading ML library for JavaScript. Supercharge your next web app with superpowers - from classifying text in a blog post comment to automatically block spam, to using sensors like a webcam on your mobile device to alert you when your dog is on the couch after you left the house. A basic, working knowledge of web technologies such as HTML, CSS, and JavaScript is highly recommended. Learn Common terms and what they mean, how Machine Learning works (without formal mathematical definitions), the TensorFlow.js library, advantages of using ML in JavaScript, ways to consume or create Machine Learning models, how to use pre-made “off the shelf” models, what Tensors are in Machine Learning, how to use Tensors with ML models and to write a simple custom model, perceptrons (artificial neuron) and how they work, linear regression to predict numbers using single neuron, multi layered perceptrons for handling more complex data, using models that use Convolutional Neural Networks for images and converting Python models to JavaScript, transfer learning - reusing existing trained models with your own data. Skill-based training modules include: 1)  Introduction to ML & TensorFlow.js, 2) Using Pre-Made models, 3) Writing custom models, 4) Transfer Learning, 5) Reusing models from Python, and 6) How to join the TensorFlow.js community.

Enroll today (teams & executives are welcome): https://fxo.co/HO24 

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)

Probability and Statistics in Data Science using Python

DS Colleagues, the “Probability and Statistics in Data Science using Python” program will enable you to use Python, learn statistical and probabilistic approaches to understand and gain insights from data. The job of a data scientist is to glean knowledge from complex and noisy datasets. Reasoning about uncertainty is inherent in the analysis of noisy data. Probability and Statistics provide the mathematical foundation for such reasoning. In this course, part of the Data Science MicroMasters program, you will learn the foundations of probability and statistics. You will learn both the mathematical theory, and obtain hands-on experience of applying this theory to actual data using Jupyter notebooks. Concepts covered included: random variables, dependence, correlation, regression, PCA, entropy and MDL.

Enroll today (teams & execs are welcome): https://fxo.co/HO20 

Download your free Data Science - Career Transformation Guide.

Here is the “Data-Driven Organizations” book series:  

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)