SQL Courses

The LLMOps Infrastructure Engineering program is a five-week, live online course designed to teach students the essentials of AI system production. Participants will learn about embeddings, vector databases, and RAG architectures, followed by practical applications of LLM APIs and FastAPI services. The course includes hands-on experience with monitoring tools like LangFuse and Prometheus, preparing students to create operational intelligence systems that automate insights from logs and incidents. Before You Learn / Who This Course Is For Open to technical professionals in AI and data engineering Ideal for engineers seeking to enhance AI system skills Prerequisites include basic understanding of AI and data fundamentals What to Expect Live online sessions with expert-led instruction Hands-on projects using LLM APIs and FastAPI services Monitoring with LangFuse and Prometheus for real-world applications What You'll Achieve Skills to build operational intelligence systems Proficiency in using LLM APIs and monitoring tools

The MERN Full-Stack Software Engineer bootcamp is a comprehensive online program designed for aspiring developers. It covers essential web development technologies including CSS, HTML, JavaScript, and the MERN stack—MongoDB, Express, React, and Node.js. Participants will engage in project-based learning, gaining practical skills in GitHub, Linux, SQL, REST, and Agile/Scrum methodologies. Before You Learn / Who This Course Is For Aspiring web developers seeking in-depth full-stack knowledge No prerequisites; open to beginners Ideal for those interested in project-based learning What to Expect Project-based online learning format Hands-on practice with MERN stack tools Focus on real-world applications and Agile methodologies What You'll Achieve Comprehensive understanding of full-stack development Practical skills in GitHub, Linux, and REST Preparation for roles in web development

TechPledge Consulting's Machine Learning Bootcamp is an intensive online program designed to teach Python, SQL, machine learning, deep learning, natural language processing, and artificial intelligence. Through hands-on, real-world projects, students will develop a portfolio featuring at least six projects and a capstone, equipping them with practical skills and experience. Before You Learn / Who This Course Is For Open to aspiring data scientists and engineers Ideal for those interested in AI and machine learning No specific prerequisites mentioned What to Expect Online, project-based learning format Hands-on practice with real-world projects Portfolio development with six projects and a capstone What You'll Achieve Portfolio showcasing six projects and a capstone Proficiency in Python, SQL, and machine learning Skills in AI, deep learning, and natural language processing

Vilnius Coding School's Manual Testing Bootcamp offers a comprehensive, live online experience covering essential testing methodologies such as Agile, Waterfall, and tools like SQL, UX design, and Selenium. This project-based course enables learners to gain hands-on experience through practical exercises, ensuring that they are well-prepared for the demands of a software testing career. Before You Learn / Who This Course Is For Designed for aspiring software testers Ideal for both technical and non-technical individuals No prerequisites required for enrollment What to Expect Live online instruction with practical exercises Focus on Agile, Waterfall, SQL, and Selenium Hands-on projects to reinforce learning What You'll Achieve Comprehensive understanding of manual testing methodologies Proficiency in tools like SQL and Selenium

This intensive Master SQL Server Developer bootcamp offers a comprehensive, five-course program on relational database management. Delivered through a blend of on-demand streaming and personal facilitation, the course includes hands-on exercises in SQL programming, Reporting Services, and ASP.NET Web forms. Students receive high-speed access to dedicated lab machines, ensuring a 50% lecture and 50% practical experience. With expert guidance, learners gain proficiency in SQL syntax, data warehouse design, and business analytics, preparing them for IT workplace challenges. Before You Learn / Who This Course Is For Ideal for aspiring SQL developers and IT professionals No prerequisites required; foundational IT knowledge beneficial Suitable for individuals seeking hands-on database experience What to Expect On-demand streaming with guided facilitation 50% lecture, 50% hands-on lab exercises High-speed access to dedicated lab machines What You'll Achieve Proficiency in SQL programming and database management Ability to create reports and Web forms using ASP.NET Skills in deploying and managing SQL Server environments

This comprehensive program offers a deep dive into essential data science techniques and methodologies. Delivered online, it covers Python, SQL, and machine learning, with a focus on practical applications like linear regression and decision trees. Learners will engage in project-based learning to master both quantitative and qualitative research methods, Agile practices, and CRISP-DM methodology. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites; open to beginners and professionals Perfect for those interested in data-driven decision making What to Expect Self-paced online format with interactive modules Hands-on projects and real-world data analysis Focus on Python, SQL, and machine learning applications What You'll Achieve Gain proficiency in Python, SQL, and machine learning Master Agile and CRISP-DM methodologies Prepare for data science roles with practical skills

The Master in Data Analytics is an online, self-paced course designed to equip learners with essential data skills. Covering topics like Python, web scraping, SQL, and data visualization, this program offers comprehensive insights into business intelligence tools such as Tableau and Power BI. Through project-based learning, participants engage in practical exercises, applying concepts to real-world scenarios. Before You Learn / Who This Course Is For Designed for aspiring data analysts and professionals Ideal for beginners and those enhancing data skills No prerequisites required, open to all learners What to Expect Self-paced online format for flexible learning Project-based activities using real-world data scenarios Hands-on practice with tools like Tableau and Power BI What You'll Achieve Master data analytics concepts and tools Gain proficiency in Python and SQL Enhance career prospects in data-driven roles

The Master in Data Analytics & Science is an online program designed to equip learners with essential skills in data analysis and science. Covering Python, databases, SQL, and data visualization, this course blends theory with practical application. Learners will gain hands-on experience with tools like Tableau and Power BI, and explore advanced topics such as machine learning, deep learning, and generative AI. Before You Learn / Who This Course Is For Ideal for aspiring data analysts and scientists Suitable for both technical and non-technical backgrounds No prerequisites required What to Expect Self-paced online format with flexible learning Hands-on projects using Python, SQL, and Tableau In-depth exploration of AI and machine learning What You'll Achieve Comprehensive understanding of data analytics and science Proficiency in tools like Power BI and Tableau Skills applicable to various data-driven roles

The Master in Data Science is a comprehensive online program designed for both beginners and professionals. Participants will explore essential topics such as Python, SQL, databases, and data visualization. The course includes hands-on projects in machine learning, deep learning, and generative AI, providing a practical learning experience. Ethical considerations and data governance are also covered, ensuring a well-rounded understanding of the field. Before You Learn / Who This Course Is For Suitable for beginners and experienced professionals Ideal for aspiring data scientists and analysts No specific prerequisites required What to Expect Self-paced online learning modules Hands-on projects with real-world data sets In-depth coverage of AI and machine learning What You'll Achieve Comprehensive understanding of data science techniques Ability to use tools like Python and SQL Skills applicable to data-driven decision-making

The "Mastering Applied Data Science + Deep Learning" course is a project-driven, online program focusing on practical data science skills. Students will learn data collection via web scraping, model comparison using machine learning and deep learning algorithms, and advanced topics like recommender systems and computer vision. Delivered through hands-on projects, this course emphasizes real-world applications and requires students to present their findings and solutions to business problems. Before You Learn / Who This Course Is For Designed for aspiring data scientists Ideal for learners with a basic understanding of programming No advanced prerequisites required What to Expect Project-based learning with real-life business cases Hands-on practice with data collection and model analysis Engagement with advanced AI topics like NLP and computer vision What You'll Achieve Practical skills in data science and deep learning Experience in solving real-world business problems