Machine Learning Courses

The Master of Science in Data Science & AI from EU Global is a 90-credit, fully accredited master’s program designed for working professionals. Over 18 months, students will engage in asynchronous learning, live residencies, and mentor-guided projects before completing a Capstone Consulting Project and Master’s Thesis. The curriculum covers statistics, Python, AI/ML, deep learning (CNNs, RNNs), NLP, computer vision, big data, and research methods. Before You Learn / Who This Course Is For Professionals in tech, analytics, business, or related domains aiming to deepen AI/data expertise Graduates with a bachelor’s degree or equivalent experience Those seeking a research-driven, portfolio‑oriented credential recognized internationally What to Expect 12 core modules and a Capstone Consulting Project and Master’s Thesis, all guided by industry mentors Combination of asynchronously delivered coursework, live residencies, mentor check-ins, and hands-on assignments What You’ll Achieve Deep competence in tools and techniques: Python, R, AI/ML, deep learning, NLP, computer vision, big data A polished portfolio of projects and a thesis, ready for industry or academic use A fully accredited master’s degree with global recognition

The Oxford Artificial Intelligence Programme is a six-week online course from the University of Oxford’s Saïd Business School that provides a robust foundation in artificial intelligence fundamentals, including machine learning, deep learning, and generative AI, without requiring coding skills. Through flexible weekly modules, students will explore AI’s history, capabilities, ethical implications, and real-world business applications, gaining insight into how AI can create strategic value in organizations. Before You Learn / Who This Course Is For Business leaders and cross-functional managers seeking a practical understanding of AI Technical and non-technical professionals exploring AI’s organizational impact CIOs, IT managers, and analysts aiming to assess AI opportunities What to Expect Weekly modules covering AI ecosystems, machine learning, deep learning, and generative AI Insight into ethical, societal, and business implications of AI technologies What You’ll Achieve Strong conceptual understanding of AI fundamentals and key technologies Ability to identify organizational AI opportunities and build a business case A digital certificate from Oxford Saïd validating your expertise

Edureka’s six‑month Post Graduate Program in Generative AI and Machine Learning, created in collaboration with Illinois Tech, teaches Python fundamentals, machine learning, deep neural networks, natural language processing, generative models, prompt engineering, LLM‑powered application development, agentic AI, AI‑driven software engineering, and LLMOps. Students work on nine industry projects, 15 real‑world use cases and over 100 hands‑on labs, culminating in a capstone project. The program features live weekend classes, self‑paced modules, 24/7 support, career coaching, and a joint certificate, preparing graduates for roles in AI engineering and research. Before You Learn / Who This Course is For Designed for professionals with an undergraduate degree seeking to become AI engineers, ML engineers or data scientists No prior AI experience required; a strong foundation in basic programming and math is helpful What to Expect Curriculum covering Python, machine learning, deep learning, NLP, generative AI, prompt engineering, LLM application development, agentic AI, AI‑driven software engineering and MLOps Nine industry projects, 15 use cases, 100+ labs and a capstone project for hands‑on experience Live instructor‑led sessions supplemented by recorded lectures, self‑paced study materials and 24/7 support Develop competence in building and fine‑tuning generative models, large‑language‑model applications and AI agents Career assistance including webinars, résumé and LinkedIn optimization, mock interviews, one‑on‑one mentoring and access to job portals What You’ll Achieve Joint certificate from Edureka and Illinois Tech upon completion of all courses Portfolio of projects and confidence to pursue roles like generative AI engineer, prompt engineer, AI research scientist and machine learning engineer

The Emeritus Institute of Management offers a comprehensive online certificate program on artificial intelligence. This course covers foundational and advanced AI concepts, focusing on developing and refining machine learning models. Participants will explore real-world applications of AI in business through hands-on projects and expert-led sessions. Before You Learn / Who This Course Is For Designed for professionals in tech and business roles Ideal for those interested in AI applications No prerequisites required What to Expect Self-paced online format with flexible learning Hands-on projects developing AI models Explore AI trends and business applications What You'll Achieve Receive a certificate upon completion Develop skills in machine learning and AI Apply AI knowledge to business challenges

The R Predictive Analytics & Data Science course offers comprehensive training in data science and predictive modeling using R. Designed for those interested in actuarial applications, this course covers machine learning and advanced techniques through hands-on projects. Delivered online, the program provides practical experience for professionals seeking to enhance their analytical skills. Before You Learn / Who This Course Is For Designed for aspiring data scientists and actuaries Ideal for professionals in finance and insurance No prerequisites required; open to all skill levels What to Expect Self-paced online learning with project-based modules Hands-on practice with R for predictive modeling Focus on real-world actuarial applications What You'll Achieve Gain skills in data science and predictive analytics Apply machine learning techniques in actuarial contexts

Floydee's SkillUp PAP Program is a comprehensive online course offering a deep dive into essential tech skills. Students engage in self-paced learning covering HTML, CSS, JavaScript, Agile, Scrum, design principles, DevOps, cloud computing, machine learning, and cybersecurity. The program emphasizes practical application through hands-on projects, equipping learners with industry-relevant competencies. Before You Learn / Who This Course Is For Designed for aspiring tech professionals Suitable for both beginners and intermediates No prerequisites required What to Expect Self-paced online learning format Hands-on projects for practical experience Covers diverse topics from coding to cybersecurity What You'll Achieve Comprehensive understanding of key tech domains Practical skills for real-world application

Exponent provides specialized interview preparation courses tailored for various careers such as data science, cybersecurity, machine learning, UX design, software engineering, and digital marketing. These courses are designed to prepare candidates for interviews with leading companies like Google, Amazon, and Meta. Through an online, self-paced format, learners gain practical skills and insights needed for successful job interviews. Before You Learn / Who This Course Is For Aspiring professionals in tech and design fields Ideal for job seekers targeting top tech companies No prerequisites required What to Expect Self-paced online format for flexible learning Focused on interview techniques and industry-specific skills Practical insights from experienced professionals What You'll Achieve Enhanced interview skills for top tech companies Industry-relevant knowledge and preparation Competitive edge in job applications

Udemy’s Ultimate AWS Certified AI Practitioner (AIF‑C01) course prepares learners to pass the AWS Certified AI Practitioner exam. Updated for the latest AIF‑C01 objectives, it covers artificial intelligence fundamentals, machine learning, deep learning and generative AI concepts, along with hands‑on practice using AWS services like Bedrock, Amazon Q and SageMaker. Before You Learn / Who This Course Is For Aimed at professionals preparing for the AWS Certified AI Practitioner exam Beginner‑friendly – no AWS, IT or AI background needed, though some IT knowledge helps What to Expect 14 sections, 150 lectures and roughly 10 hours of on‑demand video Hands‑on labs with Bedrock, Amazon Q, SageMaker and other AWS AI services Lessons on prompt engineering, model fine‑tuning and cost management Quizzes after each section, downloadable slides and a practice exam with explanations What You’ll Achieve Proficiency in using AWS AI services to build and evaluate AI solutions Preparation and confidence to pass the AWS Certified AI Practitioner exam