SQL Courses
Find the right course to build your skills or take the next step in your career.
916 courses
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42 Starfleet Academy offers an immersive, 12-month program designed to develop proficient software engineers through project-based learning. Students engage in peer collaboration, problem-solving, and creativity without traditional classes or teachers, mirroring real-world work environments. The curriculum is skills-based, requiring mastery for progression, and provides a community-focused experience that prepares students for careers in top tech companies. Before You Learn / Who This Course Is For Open to anyone; no prior coding experience required Ideal for aspiring software engineers Merit-based admission through a 28-day coding challenge What to Expect Project-based and peer-corrected learning environment Intensive 50-70 hour weekly commitment Gamified progression with experience and correction points What You'll Achieve Mastery of 21st-century software engineering skills Preparedness for top tech company roles
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Data Science Dojo's IoT Bootcamp is a two-day, hands-on course designed for professionals eager to explore the Internet of Things. Attendees will delve into IoT applications, learn to build prototypes, and examine critical legal and ethical issues. The course provides a comprehensive overview of IoT architecture and practical learning experiences to enhance understanding of this rapidly evolving field. Before You Learn / Who This Course Is For Open to all working professionals Ideal for those interested in IoT and data science No programming experience required What to Expect Hands-on, real-world IoT learning Build working prototypes across various industries Discuss legal, ethical, and data governance issues What You'll Achieve Enhanced understanding of IoT architecture and applications Practical skills for building IoT prototypes
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PaceLearn's AI & Machine Learning Bootcamp offers a comprehensive dive into essential AI tools and technologies. Delivered online, this self-paced course covers Python, neural networks, AWS, SQL, and more. Geared towards hands-on learning, it combines practical exercises with theoretical knowledge, focusing on Python libraries and cloud platforms like Azure, ensuring learners gain applicable skills in AI and machine learning. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and AI enthusiasts Suitable for both technical and non-technical backgrounds No prerequisites; foundational interest in AI is recommended What to Expect Self-paced online learning format Hands-on projects using Python and relevant libraries Experience with AWS and Azure cloud platforms What You'll Achieve Gain proficiency in Python for AI applications Understand neural networks and natural language processing Apply AI skills in real-world scenarios
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Metana.io's AI and Machine Learning Bootcamp offers an immersive online experience for professionals seeking to advance in AI. The program includes comprehensive coverage of AI fundamentals, data preprocessing, predictive modeling, deep learning, NLP, and computer vision. Delivered through hands-on projects, participants apply knowledge in real-world scenarios, supported by expert instructors and a collaborative learning environment. Before You Learn / Who This Course Is For Ideal for professionals enhancing AI skills Suitable for technical backgrounds No specific prerequisites required What to Expect Interactive online format with expert instruction Hands-on projects and real-world applications Collaborative environment with networking opportunities What You'll Achieve Certificate of completion from Metana.io Skills in AI, NLP, and computer vision Foundation for AI career advancement
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Barcelona Code School's AI Agent Engineer Bootcamp is a comprehensive online program designed for developers aiming to specialize in AI engineering. This project-based course focuses on real-world tools like LangGraph, PostgreSQL, and Docker, with AI-assisted development from day one. Participants will complete a continuous project and a capstone project of their choice, equipping them with the skills needed for roles such as AI agent engineer and automation engineer. Before You Learn / Who This Course Is For Developers aiming to specialize in AI engineering Technical professionals entering the AI agent field No prerequisites beyond technical background What to Expect Online, project-based learning with real-world tools Continuous and capstone projects for hands-on experience AI-powered development with Claude coding assistant What You'll Achieve Create enterprise agents ready for production Master tools like LangChain, Docker, and AWS Prepare for AI agent engineer and similar roles
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BrainStation’s Data Analytics Certification (DAC™) is a comprehensive, hands-on program open to all learners. It covers the complete analytics workflow, including data cleaning, SQL, Excel, and Tableau, taught through real datasets and projects. Participants will develop skills in data analysis, visualization, and storytelling under the guidance of experienced professionals, culminating in a portfolio piece showcasing their capabilities. Before You Learn / Who This Course Is For Open to learners from all backgrounds No coding or prior experience required Ideal for those interested in data skills What to Expect Hands-on program with real datasets Covers data cleaning, SQL, Excel, and Tableau Guided by experienced data professionals What You'll Achieve Data Analyst portfolio piece Skills in data analysis and visualization Proficiency in storytelling with data
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BrainStation’s Data Analytics Certification (DAC™) offers a hands-on, comprehensive program for individuals keen on developing data skills. This course covers the full analytics workflow, encompassing data cleaning, SQL, Excel, and Tableau. Through real datasets and project-based learning, participants gain practical experience in analysis, visualization, and storytelling. Led by experienced data professionals, the program culminates in a portfolio piece showcasing applied analytical techniques. Before You Learn / Who This Course Is For Open to all backgrounds, no prior experience needed Ideal for aspiring data analysts and professionals Perfect for those interested in data-driven decision-making What to Expect Online, hands-on learning using real datasets Covers data cleaning, SQL, Excel, and Tableau Project-based approach with real-world application What You'll Achieve Data Analyst portfolio piece demonstrating analytics skills Proficiency in data analysis and visualization tools Ability to communicate insights clearly and responsibly
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Big Blue Academy's AI Engineering Bootcamp is a comprehensive, hands-on program designed to equip learners with skills in Artificial Intelligence and Machine Learning engineering. Delivered online, this course covers fundamentals like Python and SQL, as well as advanced topics such as deep learning and generative AI. Participants gain practical experience in designing intelligent systems and deploying AI models using cutting-edge tools and frameworks. Before You Learn / Who This Course Is For Aspiring AI and ML engineers Ideal for those transitioning into tech No prior experience required What to Expect Online, hands-on training with real-world tools Projects using PyTorch, OpenAI APIs, and more Guidance from experienced AI professionals What You'll Achieve Skills in AI development and deployment Preparation for roles like Junior AI Engineer Hands-on experience with AI lifecycle
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Flatiron School's AI Engineering Immersive is an 18-month work-integrated program designed for individuals without prior development experience. Participants receive a foundation in Software Engineering and AI, alongside a paid apprenticeship starting in the fifth month. This blend of coursework and real-world experience equips learners with practical skills and a professional portfolio, making the program cost-effective by offsetting tuition with apprenticeship earnings. Before You Learn / Who This Course Is For No development experience required Ideal for career switchers and beginners Suited for individuals seeking hands-on learning What to Expect 18-month program with structured coursework 20 hours/week practical work experience Paid apprenticeship starting in month 5 What You'll Achieve Verified production experience and professional portfolio Skills in Software Engineering and AI Potential to offset tuition costs with earnings
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WSCube Tech's Data Science & AI Mentorship Program is a 20-week, hands-on course designed to accelerate your career in data science, machine learning, and AI. Participants engage with real datasets, develop machine learning models, and deploy AI applications. The program is delivered online, offering a practical and immersive learning experience through project-based activities. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and AI professionals Open to both technical and non-technical learners No prerequisites required What to Expect Online, project-based learning over 20 weeks Hands-on practice with real datasets and ML models Guidance on deploying AI applications What You'll Achieve Enhanced skills in data science and AI Experience with practical AI application deployment
Frequently Asked Questions
How do I choose a course for my goals?
Start with the skill you want to learn and the work you want to do with it. Compare the syllabus, projects, instructor feedback, total cost, and time commitment. A short course can help you explore a topic; a longer program may offer more structure and practice.
Should I choose a live, self-paced, or in-person course?
Live classes provide scheduled instruction and opportunities to ask questions. Self-paced courses give you more control over when you study, but check what support and deadlines are included. For in-person options, factor in travel as well as class and practice time.
Do I need experience before enrolling?
Entry requirements vary. Read the prerequisites and look for required software, technical skills, or an admissions assessment. If you are new to the subject, try an introductory lesson and ask the provider how it supports beginners before committing.
Can a course help me change careers?
A course can help you build skills and projects, but completing it does not guarantee a job. Compare the curriculum with the roles you want, read alumni reviews, and ask what career support and outcomes data the provider shares.