Artificial Intelligence Courses

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

TripleTen's AI-Assisted Software Engineering Program is a six-month, part-time course for beginners, focusing on essential software engineering skills. Delivered online, it covers web fundamentals, the MERN stack, and AI tools integration in daily workflows. Students engage in hands-on projects, mastering tools like Git, Docker, and AWS, while also developing crucial soft skills necessary for career advancement. Before You Learn / Who This Course Is For Beginners with no prior tech experience Ideal for aspiring software engineers No prerequisites required What to Expect Part-time, online learning format Hands-on projects in web and backend development Use of tools like Git, Docker, and AWS What You'll Achieve Portfolio with four strong projects Skills in modern software engineering practices Readiness for AI-integrated software engineering roles

This comprehensive boot camp equips students with the skills needed to excel as Marketing Directors across various industries, including technology. Delivered online, the program covers essential marketing tools and techniques such as SEO, video editing, and social media management. Through hands-on projects and practical instruction, participants gain proficiency in platforms like Salesforce Marketing Cloud, WordPress, and Hubspot. Before You Learn / Who This Course Is For Aspiring Marketing Directors in any industry Ideal for both entry-level and experienced marketers No prerequisites required What to Expect Self-paced online learning environment Hands-on projects with tools like WordPress and Canva Comprehensive coverage of SEO and social media What You'll Achieve Proficiency in marketing tools like Salesforce and Hubspot Skills applicable to technology and other sectors

Jedha's Data Manager course offers a comprehensive 112-hour program to master data governance and management. Available in a 3-week bootcamp or self-paced over 8 weeks, this course equips learners with essential skills to lead a data team effectively. Through practical sessions, participants will gain hands-on experience in data management best practices. Before You Learn / Who This Course Is For Ideal for aspiring data managers and team leaders Suitable for professionals with basic data knowledge No prerequisites required for enrollment What to Expect Self-paced learning over 8 weeks or 3-week bootcamp Practical exercises in data governance and management Focus on leading data teams effectively What You'll Achieve Mastery of data governance and management practices Ability to lead and manage a data team

Jedha's Data Scientist Bootcamp offers an extensive 450-hour curriculum designed to develop advanced skills in Data Science, Data Engineering, and Machine Learning. Available as a three-month bootcamp or as a self-paced course over 30 weeks, this program provides a flexible learning experience. Through comprehensive, project-based learning, students gain practical expertise essential for a career transition into data science roles. Before You Learn / Who This Course Is For Open to aspiring Data Scientists and Engineers Ideal for career changers in tech fields No prerequisites required What to Expect Self-paced or three-month bootcamp options Project-based learning with real-world applications Focus on Data Science, Engineering, and Machine Learning What You'll Achieve Gain advanced Data Science and Engineering skills Prepare for career transition into data roles

Jedha's Data Engineer course offers a comprehensive program for those in the data field seeking to enhance their dual competency in Data Science and Data Engineering. This course covers machine learning, reinforcement learning, and data engineering over 112 hours. Available as a three-week bootcamp or an eight-week self-paced format, it provides hands-on, project-based learning to prepare participants for hybrid roles in high demand. Before You Learn / Who This Course Is For Data professionals enhancing skills Ideal for aspiring data engineers No specific prerequisites required What to Expect Choice of bootcamp or self-paced Focus on machine learning and data engineering Hands-on, project-driven learning What You'll Achieve Mastery of machine learning techniques Reinforcement learning skills Preparedness for hybrid data roles

Jedha's Prompt Engineering course offers a comprehensive 42-hour program designed to build expertise in Generative AI. Over two weeks in a bootcamp format or four weeks self-paced, learners gain essential skills for roles such as AI Model Developer and Data Science Consultant. The course combines theoretical knowledge with practical application, ensuring a thorough understanding of Prompt Engineering techniques. Before You Learn / Who This Course Is For Ideal for aspiring AI Model Developers Suitable for Data Science Consultants No prerequisites required What to Expect Self-paced over four weeks or two-week bootcamp Hands-on projects in Generative AI Focus on Prompt Engineering techniques What You'll Achieve Develop expertise in Generative AI Prepare for careers in AI development Gain practical Prompt Engineering skills

Building with AI is a 4-month online program designed for non-technical professionals to create digital products using AI coding agents. Through nine project-based sprints, learners build web and mobile apps, databases, and ecommerce platforms, guided by personalized mentorship. The course requires a commitment of 20 hours per week and uses tools like Claude Code, Cursor, and Stripe, culminating in a capstone project to enhance portfolios. Before You Learn / Who This Course Is For Designed for marketers, founders, and product managers No coding experience required Ideal for small business owners and designers What to Expect Nine sprints covering web and mobile app development Hands-on projects with tools like Vercel and Stripe 1:1 mentorship with personalized feedback What You'll Achieve Create production-ready web and mobile apps Build an ecommerce store and complete a capstone Enhance your portfolio with real digital products

Master the next generation of intelligent automation with the WBS CODING SCHOOL AI Agents & Automations Course. This intensive, 12-week program equips you with the indispensable expertise to design, build, and deploy autonomous systems that drive business efficiency. Before You Learn / Who This Course Is For No prerequisites; basic programming knowledge beneficial English or German speakers What to Expect 12 weeks, instructor-led, 100% online course You will move beyond rigid automation by mastering the creation of AI Agents (the intelligent decision-makers) and integrating them with business systems. The curriculum is hands-on and project-based, covering a full technical stack: Python for Automations, n8n, Langflow, Generative AI (LLMs), and Custom GPTs. What You'll Achieve Graduates are prepared for high-demand roles like AI Automation Manager and AI Integration Specialist and become invaluable leaders in any organization. Build and deploy autonomous, goal-oriented AI Agents. Master the full technical stack: Python, n8n, Langflow, and LLMs. Gain expertise in governance, monitoring, and safety for AI at scale.

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.