Machine Learning Courses

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

Data Science Dojo's Large Language Models Bootcamp is a comprehensive 5-day, 40-hour program available both in-person and online. It focuses on mastering Large Language Models (LLMs) for enhanced performance and customization. Participants will gain hands-on experience with generative AI fundamentals, LLM application architectures, and deployment strategies. The bootcamp is project-based, allowing learners to build custom LLM applications with expert guidance, utilizing tools like vector databases and orchestration frameworks such as LangChain and Llama Index. Before You Learn / Who This Course Is For Open to beginners and advanced data professionals Ideal for product leaders enhancing products with LLMs No specific prerequisites required What to Expect Available in-person and online, project-based learning Hands-on with LangChain, Llama Index, and Azure Practical deployment and customization of LLM applications What You'll Achieve Build custom LLM applications on chosen datasets Master generative AI and LLM fundamentals Enhance career prospects in AI-driven fields

This comprehensive course offers a deep dive into both supervised and unsupervised machine learning algorithms. It includes instruction on building, customizing, and optimizing predictive models using techniques like linear regression and decision trees. Participants will gain hands-on experience in improving model efficiency and accuracy through various optimization techniques. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites required Open to both technical and non-technical learners What to Expect Self-paced online learning with practical exercises Hands-on training with predictive modeling techniques Focus on efficiency and accuracy optimization What You'll Achieve Proficiency in machine learning algorithms and modeling Skills in optimizing predictive models for better performance

Codemify’s Machine Learning Engineer Program is a hands-on bootcamp designed for career changers seeking practical ML skills. Participants gain real-world experience through internships with U.S.-based startups and engage in intensive interview preparation. The program emphasizes building projects, training models, and deploying applications with support from live mentors, ensuring students acquire tools like Python, Pandas, and scikit-learn for real-world applications. Before You Learn / Who This Course Is For Ideal for career changers entering machine learning Open to all with no specific prerequisites Perfect for those seeking hands-on experience in ML What to Expect Internship at a U.S.-based startup for real-world experience Live mentorship and a supportive learning community Intensive interview preparation with up to six sessions weekly What You'll Achieve Proficiency in Python, Pandas, NumPy, and scikit-learn Skills in data modeling, visualization, and ML pipelines

CodingNomads offers a comprehensive online bootcamp designed to take learners from beginner to professional in data analysis, data science, machine learning, and AI. The program includes courses in Python, SQL, and deep learning, utilizing real-world datasets and popular tools like Numpy and Pandas. Students benefit from one-on-one mentorship, chat support, and a community of learners, with most completing the curriculum within 6-10 months, plus additional career support. Before You Learn / Who This Course Is For Open to beginners and aspiring data professionals Ideal for career changers in tech fields No prerequisites; commitment to learning required What to Expect Online, self-paced learning with flexible schedule Access to real-world datasets and tools like Numpy One-on-one mentorship and peer support channels What You'll Achieve Skills in Python, SQL, and machine learning Career mentorship to guide job transitions Potential for career advancement and salary increase

CodingNomads offers a comprehensive Data Science and Machine Learning course designed for professionals seeking to leverage Python in analyzing large datasets. This 4-month, self-paced program includes pre-recorded lectures and personalized mentorship through regular screen-sharing sessions. Participants can access assistance via chat channels and engage with a network of peers. The course emphasizes problem-solving with data science and machine learning techniques, tailored to individual tasks. Before You Learn / Who This Course Is For Designed for those with Python proficiency Ideal for data analysts and engineers Prerequisite: Python programming skills What to Expect Self-paced with pre-recorded lectures 1:1 mentor sessions for personalized guidance Collaboration through chat and peer networking What You'll Achieve Master data science and ML techniques Apply skills to real-world decision-making

CodingNomads' Deep Learning with Python course is an online, self-paced program focusing on artificial intelligence fundamentals. Students engage in hands-on projects using PyTorch, neural networks, and computer vision. The course spans approximately four months, requiring around 15 hours of study per week. Participants design, train, and evaluate their own deep learning models, gaining practical experience in AI applications. Before You Learn / Who This Course Is For Ideal for technical professionals in AI and data science Proficiency in Python and basic calculus required Targeted at learners interested in deep learning models What to Expect Self-paced online learning with flexible scheduling Hands-on projects using PyTorch and neural networks Focus on computer vision and natural language processing What You'll Achieve Develop skills in designing and evaluating AI models Gain practical experience with deep learning tools

This comprehensive 12-month online program is designed for aspiring AI/ML Engineers and MLOps Engineers. It covers foundational data principles and advanced multi-agent architectures. Participants will engage in live sessions, hands-on projects, and receive continuous support and career guidance. The course culminates in earning the Databricks Certified Machine Learning Associate credential, equipping learners with practical skills in deploying and managing AI systems at scale. Before You Learn / Who This Course Is For Aspiring AI/ML and MLOps Engineers Ideal for those building production-ready ML systems No specific prerequisites required What to Expect 3 months foundational, 9 months advanced training Live sessions, 1:1 mentoring, 24/7 support Hands-on projects using Scikit-learn and Docker What You'll Achieve Prepared for Databricks Certified Machine Learning Associate credential Skills in deploying AI systems with FastAPI Build MLOps pipelines and multi-agent systems