Les Mcpherson

College of Management and IT (CMIT)

Global Knowledge

ILX Group

International Association of Risk and Compliance Professionals (IARCP)

Blockchain Training Alliance

- Access and Blockchain- Cryptocurrency and Blockchain- Blockchain 2.0 and Etherium- Corporate Application: Aviation / Healthcare / Global Supply Chain / Real Estate- Blockchain Implementation and Adoption- Web 3.0

Blockchain Training Alliance

- Decentralized Ledgers- Cryptography Basics and Hashing- Open Source Blockchain Projects- Centralized Networks- Distributed Networks- Decentralized Networks- Blockchain Application Architecture- Smart Contracts/Chaincode

Blockchain Training Alliance

- Decentralization / Centralization- Distributed Ledger - Private vs Public- Mining and Consensus Mechanisms- Dapps and Smart Contracts- Blockchain 2.0 & Ethereum- Blockchain Implementation- Medical Records FHIR, HL7- Patient Identity HIPAA and GDPR- Patient Identity & Blockchain- IoT, IoHT and Healthcare- AI and Healthcare- Supply Chain and Pharmaceutical Tracking- Value Based Care and Blockchain- Patient Enablement and Empowerment with… Show more - Decentralization / Centralization- Distributed Ledger - Private vs Public- Mining and Consensus Mechanisms- Dapps and Smart Contracts- Blockchain 2.0 & Ethereum- Blockchain Implementation- Medical Records FHIR, HL7- Patient Identity HIPAA and GDPR- Patient Identity & Blockchain- IoT, IoHT and Healthcare- AI and Healthcare- Supply Chain and Pharmaceutical Tracking- Value Based Care and Blockchain- Patient Enablement and Empowerment with Blockchain Show less

Blockchain Training Alliance

Blockchain Training Alliance

Implement web3.jsWrite / Compile Solidity smart contractsCreate secure smart contractsDeploy smart contracts both the live and test Ethereum networksCalculate Ethereum gas costsUnit test smart contractsRun Ethereum nodes on development machines

Duke University

Apply Python fundamentals in machine learning contextsImplement end-to-end ML solutions using various cloud platformsDevelop and manage efficient ML pipelines and APIsDesign and execute a full MLOps pipeline using MLflowFine-tune and deploy LLMs and containerized modelsAnalyze and solve real-world problems using advanced ML techniques

Coursera

This specialization includes building and training neural network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, Transformers, and how to make them better with strategies such as Dropout, BatchNorm, Xavier/He initialization, and more. Mastery of theoretical concepts and their industry applications using Python and TensorFlow in addition to tackle real-world cases such as speech recognition, music synthesis, chatbots, machine translation, natural language… Show more This specialization includes building and training neural network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, Transformers, and how to make them better with strategies such as Dropout, BatchNorm, Xavier/He initialization, and more. Mastery of theoretical concepts and their industry applications using Python and TensorFlow in addition to tackle real-world cases such as speech recognition, music synthesis, chatbots, machine translation, natural language processing, and more. Show less

Simplilearn Alumni

Core skillsets required for designing and deploying dynamically scalable, highly available, fault-tolerant, and reliable applications on three of the top Cloud platform providers — Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform. In-depth understanding of cloud services such as AWS Cloud formation, Azure resource manager, EC2, S3, Route53, VPC, Azure App Services, GCP.

Simplilearn Alumni

This Data Scientist Master’s Program, in collaboration with IBM, offers extensive training on the most in-demand Data Science and Machine Learning skills with hands-on exposure to key tools and technologies including Python, R, Tableau, and concepts of Machine Learning. .

Simplilearn Alumni

This Big Data course equips learners with a thorough understanding of key big data concepts, and the application of technologies such as Hadoop and Spark for managing and processing large datasets. It explores big data analytics, enabling students to derive meaningful insights from voluminous data. The course emphasizes data privacy and security, teaching students to handle sensitive information responsibly. Additionally, it illustrates the role of machine learning and AI in big data… Show more This Big Data course equips learners with a thorough understanding of key big data concepts, and the application of technologies such as Hadoop and Spark for managing and processing large datasets. It explores big data analytics, enabling students to derive meaningful insights from voluminous data. The course emphasizes data privacy and security, teaching students to handle sensitive information responsibly. Additionally, it illustrates the role of machine learning and AI in big data, showcasing their ability to provide deeper insights and accurate predictions. Show less

Simplilearn Alumni

This comprehensive program provided a deep dive into artificial intelligence (AI) and machine learning (ML). The coursework was designed to impart a strong foundation in AI concepts, along with hands-on experience with leading AI tools and platforms.

Stanford University School of Medicine

Course Overview:This course focuses on the practical applications of artificial intelligence (AI) in the healthcare industry. Participants will learn about AI-based analytics, transformation, and data management for patient data, including information on patient visits, medications, lab tests, and procedures performed.Course Objectives: Understand the practical applications of AI in the healthcare industry Develop skills in AI-based analytics, transformation, and data… Show more Course Overview:This course focuses on the practical applications of artificial intelligence (AI) in the healthcare industry. Participants will learn about AI-based analytics, transformation, and data management for patient data, including information on patient visits, medications, lab tests, and procedures performed.Course Objectives: Understand the practical applications of AI in the healthcare industry Develop skills in AI-based analytics, transformation, and data management for patient data Learn to collect and analyze data outside the healthcare system to improve patient outcomes Gain knowledge of current and future applications of AI in healthcare and the ethical considerations involved in implementing these technologies in the clinic. Show less

Volunteer Community Policing Kiosk Attendant

Associated with Les Mcpherson

Volunteer Probation and Parole Officer

Associated with Les Mcpherson

Volunteer Child and Youth Worker

Associated with Les Mcpherson

Editor, submissions on corruption

Associated with Les Mcpherson