Machine Learning 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

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

This comprehensive online program explores the pivotal role of machine learning in data processing and innovation. Participants will learn to leverage AI and ML tools through Python programming, covering deep learning, natural language processing, and computer vision. Delivered through hands-on projects, this course equips learners with skills to implement and manage AI systems effectively. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and AI enthusiasts Technical background helpful but not required Suitable for those interested in AI and ML applications What to Expect Self-paced online format with hands-on projects Covers Python, deep learning, and AI system architecture Includes practical exercises in NLP and computer vision What You'll Achieve Gain practical skills in AI and machine learning Understand AI system implementation and management

Coderhouse's Data Science Machine Learning course is an intermediate, live online program focused on machine learning for data science. It covers core algorithms, model training, and evaluation with real datasets. Delivered through instructor-led classes and hands-on projects, this course equips learners with practical skills in machine learning model development. Before You Learn / Who This Course Is For Learners with Python and statistics basics Ideal for aspiring data scientists Interest in building machine learning models What to Expect Instructor-led live classes Hands-on modeling assignments Comprehensive machine learning project What You'll Achieve Train, tune, and evaluate machine learning models Interpret machine learning model results

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

The Big Blue Academy Machine Learning Engineering Bootcamp offers a comprehensive, hands-on training experience for aspiring ML engineers. Delivered online with instructor-led sessions, this bootcamp focuses on designing, training, and deploying machine learning systems. Students will engage in practical coding, real-world dataset analysis, and technical assessments, culminating in a capstone project that showcases their ability to build production-ready ML solutions. Before You Learn / Who This Course Is For Aspiring ML Engineers, Data Scientists, AI professionals Ideal for those with Python and ML basics Enhance deployment, MLOps, automation skills What to Expect Intensive, hands-on learning with real-world datasets Instructor-led theory and practical demonstrations End-to-end project showcasing ML lifecycle What You'll Achieve Mastery of ML model development and deployment Skills in MLOps and scalable ML workflows Ability to present complete ML solutions

Product School's Advanced AI Agents Certification is an online course designed for Product Managers. It focuses on mastering agentic systems and transforming product capabilities through adaptive decision-making and autonomous task execution. Participants will engage in project-based learning, designing scalable agent patterns and implementing multi-agent workflows. The course also emphasizes safety practices and deployment strategies necessary for launching agents responsibly. Before You Learn / Who This Course Is For Designed for Product Managers No prerequisites; open to all experience levels Ideal for those interested in AI and product development What to Expect Online course with project-based learning Focus on scalable agent patterns and multi-agent workflows Emphasis on governance and safety practices What You'll Achieve Production-ready agent blueprints and deployment strategies Skills in adaptive capabilities and risk mitigation Ability to lead AI-driven product transformations

Colaberry's Data Science program is designed for aspiring data scientists seeking essential skills. This comprehensive program includes three 8-week courses covering Python, machine learning fundamentals, and advanced mathematics and statistics. Students benefit from hands-on learning and receive one year of on-the-job support after graduation, ensuring they are well-prepared for the data science field. Before You Learn / Who This Course Is For Aspiring data scientists seeking foundational skills Ideal for learners with analytical interest No specific prerequisites required What to Expect Structured into three 8-week courses Hands-on learning with Python and machine learning Includes advanced math and statistics training What You'll Achieve Receive one year of on-the-job support Gain essential data science skills Prepare for a career in data science

The DevOps & LLMOps program is a 10-week, live online course designed to equip learners with the skills needed for deploying and managing production AI systems. The first half focuses on foundational tools such as Linux, Git, SQL, Docker, and CI/CD pipelines. The latter half delves into data science applications for LLMs, including embeddings and vector databases. Learners will engage in hands-on projects and receive expert guidance, culminating in the creation of operational intelligence systems. Before You Learn / Who This Course Is For Ideal for aspiring DevOps and AI engineers Technical background recommended for complex topics Designed for those seeking practical AI deployment skills What to Expect Live sessions with expert support Hands-on projects using Docker and CI/CD pipelines Explore data science for LLMs and operational systems What You'll Achieve Gain proficiency in cloud and AI system deployment Develop skills in monitoring with LangFuse and Prometheus