Advanced Predictive Modelling in R Certification Training

Colleagues, the “Advanced Predictive Modelling in R Certification Training” program will boost your career and earnings potential.  R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions. This Certification Training is intended for a broad audience as both, an introduction to predictive models as well as a guide to applying them, covering topics such as Ordinary Least Square Regression, Advanced Regression, Imputation, Dimensionality Reduction etc. Readers will also be able to learn basics of Statistics, such as Correlation and Linear Regression Analysis. Training modules will equip you in: 1) Basic Statistics in R - introduction to statistics and will conduct best test and exploratory analysis - Covariance & Correlation, Central Limit Theorem, Z Score, Normal Distributions, Hypothesis, 2) Ordinary Least Square Regression 1 - learn basic regression and multiple regression and will learn how to present the same graphically - Bivariate Data, Quantifying Association, The Best Line: Least Squares Method, Regressions, Simple Linear Regression, Deletion Diagnostics and Influential Observations, Regularization, 3) Ordinary Least Square Regression 2 - linear regression and make the model a better fit, make necessary transformation check for over fitting and under fitting and outliers’ identification and treatment, Model fitting using Linear Regression, Performing Over Fitting & Under Fitting, Collinearity, Heteroscedasticity, 4) Logistic Regression - assess the problems related with Linear Probability Model, will be introduced to logistic regression and various uses of the same and its industry usage - Binary Response Regression Model, Linear regression as Linear Probability Model, Problems with Linear Probability Model, Logistic Function and Curve, Goodness of fit matrix, IInteractions Logistic Regression, Multinomial Logit, Interpretation, Ordered Categorical Variable, 5) Advanced Regression - logistic regression and learn about more varied usage of logistic regression on various dataset, Poisson Regression, Model Fit Test, Offset Regression, Poisson Model with Offset, Negative Binomial, Dual Models, Hurdle Models, Zero-Inflated Poisson Models, Variables used in the Analysis, Poisson Regression Parameter Estimates, Zero-Inflated Negative Binomial, 6) Imputation - learn about addressing missing values and how to impute it using various processes, 7) Forecasting 1 - an introduction on forecasting and time series data, 8) Dimensionality Reduction, and 8) Survival Analysis - Churn analysis and Regression on time series data with time component. 

Enroll today (teams & executives are welcome): https://tinyurl.com/2tu4musv 

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)

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 Data Science (training)

Colleagues, in the “Introduction to Data Science” program you will learn one of the most battle-tested, internationally-recognized processes for solving data-science problems. Upon completing this course, you will have a reliable system for tackling data challenges, as well as the skills & know-how to share your findings with the world. Acquire high-demand and highly marketable skills in Predictive analytics, Data storytelling, AI algorithms in Python, Statistical modeling fundamentals, Exploratory data analysis, Github portfolios and CRISP-DM. Training modules include: 1) The Data Science Process - learn about CRISP-DM and how you can apply it to many data science problems, 2) Communicating to Stakeholders - create a post to communicate your findings via Medium create a blog post and Github repository that you can use as you build your data science portfolio, and 3) Project: Write a Data Scientist blog post.. 

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

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)

Computer Vision (training)

Colleagues, this in-depth “Computer Vision” program will equip you to write applications that  analyze images, implement feature extraction, and recognize objects using deep learning models. Skill-based training modules include: 1) Introduction to Computer Vision - Image Representation & Classification, Convolutional Filters and Edge Detection, Types of Features & Image Segmentation, Feature Vectors, CNN Layers and Feature Visualization, 2) Cloud Computing - Cloud Computing with Google Cloud Platform and AWS, 3) Advanced Computer Vision and Deep Learning - Advanced CNN Architectures, YOLO, RNNs, Long Short-Term Memory Networks (LSTMs), 4) Hyperparameters, 5) Attention Mechanisms - Image Captioning. Learn how to combine CNNs and RNNs to build a complex, automatic image captioning model, 6) Object Tracking and Localization - Robot Localization, 2D Histogram Filter, Kalman Filters, Representing State and Motion, Matrices and Transformation of State, Simultaneous Localization and Mapping, 7) Vehicle Motion and Calculus - Landmark Detection & Tracking. Optional course address: Applications of Computer Vision & Deep Learning, Training a Neural Network, Feedforward and Backpropagation, Deep Learning with PyTorch, Text Sentiment Analysis - Fully-Convolutional Neural Networks & Semantic Segmentation and C++ Programming. 

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

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)

Data Engineering with Microsoft Azure (training)

Colleague, the “Data Engineering with Microsoft Azure” will equip you with job-ready skills you need to succeed as a Microsoft Azure data engineer like designing data models and utilizing other in-demand components of the cloud computing service. Develop valuable skills including Data Modeling, Database Fundamentals, Cassandradb, PostgreSQL, Database Normalization, Denormalized Data Schemas and Data Modeling Basics. Training modules will enhance your career and income potential - they address: 1) Cloud Data Warehouses with Azure, 2) Data Lakes and Lake Houses with Spark and Azure Databricks, 3) Data Pipelines with Azure, 4) Data Modeling, 5) Relational Data Models, 6) NoSQL Data Models, 7) Data Modeling with Apache Cassandra, 8) Cloud Data Warehouses with Azure, 9) ELT and Data Warehouse Technology in the Cloud, 10) Big Data Ecosystem, Data Lakes, and Spark, and 11) Projects: Build an Azure Data Lake for Bike Share Data Analytics and Data Integration Pipelines for NYC Payroll Data Analytics. 

Enroll today (teams & executives are welcome): https://tinyurl.com/3fmeau3j 

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)

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)