SQL Courses

TripleTen's AI Systems Engineering program is a part-time, 51-week course designed for working engineers aiming to advance to senior and architect-level roles. With a commitment of about 20 hours per week, learners engage in live sessions, capstone projects, and externships. The curriculum covers AI infrastructure, system architecture, and security, offering hands-on experience and career coaching to build a robust portfolio. Before You Learn / Who This Course Is For Designed for working engineers aiming for senior roles Focus on system architecture and AI infrastructure No prerequisites; start with a two-week trial What to Expect Part-time, 51-week course with live and group sessions Four capstone projects and one externship Continuous support with 1:1 tutoring and career coaching What You'll Achieve Portfolio showcasing production-grade systems Skills in OpenTelemetry, Docker, Kubernetes, and more Preparation for senior and architect-level positions

Skillspire's AI and Machine Learning course is a 16-week immersive program available both online nationwide and in-person in SeaTac, WA. It equips learners with essential skills in Python, TensorFlow, and cloud deployment across platforms like Azure and Google Cloud. The course offers a comprehensive dive into the AI workflow, from data acquisition to predictive modeling, with a capstone project solving real-world business problems. Before You Learn / Who This Course Is For Ideal for data analysts and software developers Suitable for career changers with math or programming background No prior AI experience required What to Expect 16-week full-time immersive program Hands-on projects with real-world tools like ChatGPT Covers entire data science workflow, including cloud deployment What You'll Achieve Professional Certificate of Completion The curriculum aligns with Microsoft Azure AI-900, DP-900, DP-100, and AWS AI Practitioner certification exam domains

This comprehensive 8-month online program guides learners from data analysis basics to advanced certification. Through live sessions, mentoring, and support, participants master SQL, Python, Power BI, and machine learning fundamentals. Graduates earn recognized certifications, enhancing their career prospects in data analytics. Before You Learn / Who This Course Is For Career changers with no prior experience Aspiring Data Analysts, BI Analysts, Analytics Consultants Ideal for those seeking a data-focused career path What to Expect 4 months foundational training, 4 months advanced learning Weekly live sessions and 1:1 mentoring 24/7 support and unlimited career advice What You'll Achieve Earn Microsoft PL-300 and IHK Data Analyst certifications Master Python, SQL, and data visualization skills

Techademy's AI/ML Career Transition program is an online course ideal for those looking to shift careers into artificial intelligence and machine learning. The curriculum includes SQL, Python, NumPy, Pandas, as well as foundational and advanced topics in AI and ML. Delivered in a self-paced format, it combines theoretical knowledge with practical application through hands-on projects and exercises. Before You Learn / Who This Course Is For Ideal for career changers entering AI and ML fields Suitable for both technical and non-technical backgrounds No prerequisites required; open to all learners What to Expect Self-paced online format for flexible learning Hands-on projects using SQL, Python, NumPy, and Pandas Comprehensive coverage of AI and ML fundamentals What You'll Achieve Gain proficiency in AI/ML tools and methodologies Prepare for a career transition in AI and ML

WBS CODING SCHOOL is an official AWS Partner and our AWS Cloud Computing course is designed to take you from beginner to job-ready cloud professional in 23 weeks. Whether you are switching careers, levelling up your existing tech skills or taking your very first step into the industry, this course gives you the AWS expertise, hands-on experience and industry-recognised certifications to compete in one of the world's most in-demand job markets. Before You Learn / Who This Course Is For Ideal for career switchers or skill enhancers Eligible students in Germany can fund the course through a Bildungsgutschein, covering the full cost of tuition. Flexible payment plans are also available for those self-funding. The course is delivered in English and a minimum B2 language proficiency is required to enrol. What to Expect The course is 100% online and full-time, running Monday to Friday from 9:00 to 17:30. Over 23 weeks, you will cover AWS cloud foundations, Linux, networking, security, databases, cloud architecture, systems operations, serverless computing, containers, monitoring, tooling automation, automated deployments, career development and AWS Machine Learning and AI. Learning is structured around instructor-led presentations, independent AWS labs and knowledge check quizzes — a clear and proven format that builds both real technical understanding and practical confidence. Real-world projects are embedded into the curriculum throughout, so you graduate with a hands-on portfolio that shows employers exactly what you are capable of doing. What You'll Achieve Certification is central to the program. Two industry-recognised credentials are included at no extra cost: the Linux Essentials certification, completed during the course, and the AWS Certified Cloud Practitioner, completed in your final weeks. A PCEP Python certification voucher is available post-graduation upon completing a dedicated LMS track and final quiz. Career services team is with you for 12 months after graduation, helping you develop your career strategy, optimise your applications and connect with the hiring partner network.

AWS Cloud Engineering & AI is a 42-week, full-time, 100% online course that takes you from the fundamentals to a job-ready cloud engineer. You'll build expertise across AWS, Linux, Python, Docker, Kubernetes, Terraform, CI/CD and applied AI, then design and deploy a large-scale final project. Delivered by an official AWS Partner through live, instructor-led sessions and hands-on labs, it includes 5 industry-recognised certifications and 12 months of career support. Before You Learn / Who This Course Is For Beginners and for people with a tech background who want to specialise in cloud engineering, DevOps and AI. Suits career changers moving into tech, IT and tech professionals levelling up, graduates and emerging talent, and business or operations professionals moving into a technical cloud role. No prior cloud experience is required. What to Expect Expect live, instructor-led classes Monday to Friday, hands-on labs in real cloud environments, and collaborative projects that build a job-ready portfolio. You'll finish with a large-scale final project and receive a MacBook Air, plus 12 months of career support. Eligible learners can train for €0 with a Bildungsgutschein. What You'll Achieve Graduates will be prepared for five industry-recognised certifications: Linux Essentials, AWS Certified Cloud Practitioner and AWS Certified AI Practitioner (completed during the course), plus PCEP and AWS Certified Solutions Architect – Associate (after graduation). By the end of the course, students will be able to: Design, build and operate cloud infrastructure on AWS, using core services like EC2, S3, VPC, IAM, Lambda, RDS and CloudFormation Administer Linux and work confidently on the command line Write Python for cloud scripting and automation, including AI-assisted coding with Claude Code Store, manage and query data using SQL and AWS database services Containerise applications with Docker and orchestrate them with Kubernetes Provision and manage infrastructure as code with Terraform Build CI/CD pipelines with GitHub Actions and automate delivery Set up load balancing, DNS and observability, and script operational tasks Apply AI and machine learning services on AWS Plan, build and present a large-scale, cloud-native final project for a job-ready portfolio

The Accelerated AI Engineering Immersive is a 14-month program for experienced engineers seeking credibility in AI. Combining coursework with a paid apprenticeship, participants engage in 20 hours of structured learning and 20 hours of professional work weekly. This dual approach ensures graduates gain comprehensive AI and data science foundations, verified production experience, and a professional portfolio, potentially offsetting tuition costs entirely. Before You Learn / Who This Course Is For Experienced engineers with a production stack Ideal for those building AI credibility Requires existing engineering background What to Expect 14-month immersive program with dual learning 20 hours weekly in AI coursework 20 hours weekly in paid apprenticeship What You'll Achieve Credential with verified production experience Professional AI and data science portfolio Potential earnings to offset tuition costs

Focus College's 52-week part-time Advanced Certificate in Computing: Software Development is an online program designed to equip students with essential software development skills. Covering topics such as software development, computing ethics, project management, and database design, the course offers a comprehensive curriculum. With a focus on practical learning, students will engage in project-based activities to gain hands-on experience in the software industry. Before You Learn / Who This Course Is For Ideal for aspiring software developers and IT professionals No prerequisites required Suitable for both technical and non-technical learners What to Expect Part-time online format over 52 weeks Project-based learning with practical exercises Covers SQL, databases, and software development fundamentals What You'll Achieve Gain an Advanced Certificate in Computing Develop contemporary computer and software skills Prepare for technology industry roles

Vertical Institute's Advanced Data Analytics course is designed for those seeking to deepen their analytics skills. This self-paced, online program focuses on advanced Excel functions, SQL, and Tableau for effective data storytelling. Participants engage in hands-on projects to tackle real-world problems, enhancing their practical application of these tools. Before You Learn / Who This Course Is For Designed for those with basic data analytics knowledge Ideal for professionals seeking advanced data skills No specific technical prerequisites required What to Expect Self-paced online format with flexible scheduling Hands-on projects using Excel, SQL, and Tableau Focus on real-world problem-solving and storytelling What You'll Achieve Advanced skills in Excel, SQL, and Tableau Ability to conduct advanced data storytelling Enhanced career prospects in data analytics

The Advanced Data Engineering Masters Program offers a comprehensive online curriculum focused on data analysis, engineering, and machine learning. This self-paced course covers essential tools such as Python, SQL, Excel, and PowerBI, alongside advanced topics like AI and cloud computing. Participants engage in hands-on projects to solidify their skills and apply them in real-world scenarios. Before You Learn / Who This Course Is For Designed for aspiring data engineers and analysts Suitable for technical professionals seeking advanced skills Basic programming knowledge recommended What to Expect Self-paced online format with flexible scheduling Hands-on projects using Python, SQL, and PowerBI In-depth modules on AI and cloud computing What You'll Achieve Certification in Data Engineering Proficiency in data analysis and machine learning Skills applicable to data-driven roles