Skills you'll gain: MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Machine Learning Methods, Deep Learning, Computer Vision, Anomaly Detection, Convolutional Neural Networks, Machine Learning, Cloud Computing, Internet Of Things, Product Engineering, Embedded Systems, Industrial Engineering, Data Science, Product Development

Skills you'll gain: Feature Engineering, Agentic Workflows, Data Ethics, Responsible AI, Model Deployment, Agentic systems, Artificial Intelligence, Generative AI, MLOps (Machine Learning Operations), Data Transformation, Model Evaluation, Reinforcement Learning, Software Architecture, Business Ethics, API Design, Process Optimization, System Design and Implementation, Performance Tuning, Algorithms, Python Programming

Skills you'll gain: Feature Engineering, Data Preprocessing, Applied Machine Learning, Model Evaluation, R Programming, Data Transformation, Data Manipulation, Data Cleansing, Predictive Modeling, Predictive Analytics, Supervised Learning, Classification Algorithms, Machine Learning Algorithms

Skills you'll gain: Data Analysis Expressions (DAX), Azure Synapse Analytics, Microsoft Azure, Real Time Data, Query Languages, Power BI, Data Warehousing, Dataflow, SQL, Apache Spark, Data Pipelines, Data Governance, Business Analytics, Data Management, Data Science, Workflow Management, Security Engineering, Artificial Intelligence and Machine Learning (AI/ML), Warehouse Management, Application Deployment

Skills you'll gain: Site Reliability Engineering, Service Level, Service Level Agreement, Reliability, Key Performance Indicators (KPIs), System Monitoring, Application Performance Management, Performance Measurement, Business Metrics, Continuous Monitoring, Operational Performance Management, Return On Investment, DevOps, Customer experience improvement, Incident Management, Software Development, Prioritization, Business Leadership

Skills you'll gain: Vector Databases, Performance Tuning, Data Migration, Data Infrastructure, Data Integrity, Scalability, Embeddings, Data Import/Export, Data Engineering, Database Architecture and Administration, MLOps (Machine Learning Operations), Scripting, Data Pipelines

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Generative AI, Dependency Analysis, Dashboard, Application Deployment, Continuous Deployment, System Monitoring, Responsible AI, Performance Tuning, Site Reliability Engineering, Release Management, Kubernetes, Application Performance Management, CI/CD, Performance Analysis, Continuous Monitoring, Automation, Cloud Platforms, Data-Driven Decision-Making

Skills you'll gain: Retrieval-Augmented Generation, Model Deployment, LLM Application, LangChain, Large Language Modeling, Microservices, Test Driven Development (TDD), Software Architecture, Scalability, MLOps (Machine Learning Operations), Cloud Deployment, Cloud Computing Architecture, API Design, Site Reliability Engineering, Kubernetes, Prompt Engineering, Containerization, Infrastructure as Code (IaC), Python Programming, Performance Analysis

Skills you'll gain: CI/CD, Continuous Deployment, Data Pipelines, Continuous Integration, Application Deployment, Docker (Software), Data Infrastructure, Model Deployment, Engineering Software, Software Engineering, Azure DevOps, Data Validation, GitHub, Continuous Monitoring, Scalability

Skills you'll gain: Open Web Application Security Project (OWASP), Secure Coding, Operational Risk, Application Security, Security Requirements Analysis, DevSecOps, Security Testing, Threat Modeling, Cyber Attacks, Web Development, Web Applications, Security Management, Vulnerability Assessments, Security Software, Security Engineering, Security Controls, Scenario Testing, Authorization (Computing), Software Development, Data Manipulation

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Statistical Modeling, Predictive Modeling, Exploratory Data Analysis, Machine Learning, Data Analysis, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Random Forest Algorithm, Supervised Learning, Logistic Regression, Data Processing, Data Preprocessing, Predictive Analytics, Data Manipulation, Data Visualization

Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Test Driven Development (TDD), Software Testing, Scalability, Dashboard, Continuous Integration, Testability, Kubernetes, CI/CD, Performance Tuning, Software Engineering, PyTorch (Machine Learning Library), Docker (Software), Tensorflow, Containerization, Scikit Learn (Machine Learning Library), Git (Version Control System), Python Programming