Machine Learning 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

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

Holberton School Tulsa offers a two-year Full-Stack Software Engineering program, emphasizing project-based learning. The curriculum starts with foundational programming skills, covering languages like C, Python, and JavaScript, and progresses to specialized tracks such as AR/VR and Machine Learning. The program is designed for both technical novices and those seeking to deepen their software engineering expertise. Students can benefit from need-based living assistance and reduced income share agreements, particularly if they remain in Tulsa post-graduation. Before You Learn / Who This Course Is For Open to all, no prior coding experience required Ideal for aspiring software engineers Suitable for those interested in specializing in tech fields What to Expect Two-year, project-based curriculum with hands-on learning Opportunities to work on real-world projects like cloning Twitter Specialization options in areas like Machine Learning, AR/VR What You'll Achieve Gain skills in both front-end and back-end development Develop expertise in programming languages and infrastructure management

Holberton School offers an intensive on-site program aimed at equipping learners with the skills needed to become proficient Machine Learning Software Engineers. The curriculum begins with a 9-month Foundations program covering essential programming and development skills. Following this, students specialize in Machine Learning, delving into neural networks, learning methodologies, and frameworks like Tensorflow and Keras. This hands-on, project-based approach ensures practical understanding and application of skills in real-world scenarios. Before You Learn / Who This Course Is For Aspiring Machine Learning Software Engineers Open to those passing the admissions process Ideal for individuals seeking intensive, hands-on learning What to Expect 9-month on-site intensive program Hands-on projects and real-world applications Focus on neural networks, Tensorflow, and Keras What You'll Achieve Mastery of Machine Learning techniques Proficiency in Python, databases, and DevOps Skills applicable to a career in machine learning

Barcelona Code School's Machine Learning and AI Engineering Bootcamp is a 13-week, part-time course designed to teach students how to build and understand AI systems, moving beyond traditional black-box usage. The program offers flexible learning through text and video materials, supplemented by 1:1 mentor guidance. Participants will explore advanced topics in machine learning, deep learning, and AI, with a focus on hands-on project-based learning. Before You Learn / Who This Course Is For Open to anyone eager to build AI systems Designed for learners with a passion for deep learning No specific prerequisites required What to Expect 13-week part-time mentored format Flexible schedule with text and video materials Regular 1:1 sessions with instructors What You'll Achieve Industry-recognized graduation certificate Skills in AI development with BERT and GPT Proficiency in building neural networks and language models

Byte Academy's Python Bootcamp offers an immersive experience in full stack development using Python. This self-paced, online program covers essential topics like data structures, algorithms, and object-oriented programming. Students have the opportunity to work on projects in industries like finance or blockchain, applying their skills in real-world scenarios. Before You Learn / Who This Course Is For Ideal for aspiring developers and tech enthusiasts No prerequisites required Suitable for those interested in finance or blockchain What to Expect Self-paced online learning format Hands-on projects in chosen industry sectors Focus on Python and JavaScript programming What You'll Achieve Develop full stack development skills Apply knowledge in finance or blockchain projects

KeepCoding's Full Stack Artificial Intelligence Bootcamp offers a comprehensive, hands-on learning experience focused on applying AI across projects. Participants explore Big Data and Machine Learning, gaining practical skills in AI creation. This online program emphasizes real-world applications through project-based learning, ensuring learners effectively integrate AI into their workflows. Before You Learn / Who This Course Is For Suitable for professionals seeking AI integration skills Ideal for those interested in Big Data and Machine Learning No prerequisites required, open to all backgrounds What to Expect Online, hands-on learning with practical AI projects Focus on Big Data and Machine Learning applications Project-based approach for real-world AI integration What You'll Achieve Hands-on AI creation skills for practical use Competence in using Big Data and Machine Learning Enhanced ability to apply AI in various projects

Data Science Dojo offers an immersive bootcamp that equips professionals with essential data science skills through live, in-person, instructor-led sessions. The curriculum combines foundational concepts with hands-on exercises, focusing on R programming and Azure machine learning. Participants will learn to extract actionable insights from data, preparing them to tackle real-world business challenges effectively. Before You Learn / Who This Course Is For Working professionals seeking data science skills Ideal for those with interest in data science Basic programming knowledge recommended, not mandatory What to Expect Live, in-person, instructor-led tutorials Hands-on exercises with R and Azure tools Focus on practical data interpretation and insights What You'll Achieve Gain skills in R programming and Azure Ability to solve real-world data problems

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

Data Science Dojo's course for managers and business leaders offers a comprehensive overview of machine learning and data science. This online, instructor-led course provides insights into business challenges and core concepts, delivered live for an interactive learning experience. Participants will engage in theory, practical exercises, and Q&A sessions, ensuring a thorough understanding of the data science landscape. Before You Learn / Who This Course Is For Designed for managers and business leaders No prerequisites required Ideal for those seeking data-driven decision-making skills What to Expect Live, instructor-led online sessions Interactive theory and practical exercises Engaging Q&A sessions with real instructors What You'll Achieve In-depth understanding of machine learning concepts Ability to tackle business challenges using data science