Machine Learning Courses

Unlock the power of visual intelligence with the Computer Vision for AI Professionals Training, designed to help you build systems that can see, interpret, and understand the world like humans. This course introduces you to the core concepts and practical applications of computer vision — a key branch of artificial intelligence used in autonomous vehicles, healthcare imaging, facial recognition, robotics, and smart surveillance.

Step into the future of AI with the Reinforcement Learning course, where machines learn by interacting, adapting, and improving through experience. This course introduces you to one of the most powerful branches of machine learning used in robotics, game AI, recommendation systems, and autonomous decision-making.

Bridge the gap between building machine learning models and deploying them into real-world production environments with this Deployment of Machine Learning Models Training course. Designed for aspiring AI and data professionals, this hands-on program teaches you how to operationalize machine learning solutions using modern deployment, API, cloud, and MLOps practices.

Step into the future of Artificial Intelligence with Deep Learning Certification Training and gain the skills needed to build intelligent, data-driven systems. This comprehensive program is designed to help you understand how neural networks work and how they power real-world applications such as image recognition, natural language processing, and predictive analytics.

This hands-on Natural Language Processing (NLP) course takes you from foundational concepts to advanced techniques, enabling you to work with unstructured text data and transform it into meaningful insights. You’ll learn how to build real-world applications such as chatbots, sentiment analysis tools, and text analytics solutions using Python and industry-standard libraries.

Master Context-Aware AI Systems with AI+ Context Engineering™ Advance your AI expertise beyond basic prompting to design, build, and deploy production-ready context-aware AI solutions. This certification teaches you how to craft robust context pipelines, manage memory and tools, and build scalable AI systems that deliver accurate, reliable, and efficient outcomes across real-world workflows. You’ll gain practical skills in Retrieval-Augmented Generation (RAG), vector databases, secure enterprise integration, multi-agent orchestration, and no-code context workflows—preparing you to lead the next wave of AI innovation in enterprise environments.

Lead Next-Gen Assurance with AI Advance your assurance career with the AI-Enabled Coordinated Assurance certification — a practical, strategic program designed for risk, audit, governance, and compliance professionals. This unique course equips you with the tools and frameworks to integrate artificial intelligence into coordinated assurance functions, streamline cross-team collaboration, and deliver unified assurance insights with clarity and confidence. You’ll explore AI-driven assurance mapping, global AI governance standards like ISO/IEC 42001 and the NIST AI RMF, and proven techniques to communicate results to executives and regulators. Through real-world case studies and hands-on tool experience, you’ll walk away ready to lead future-ready assurance strategies that boost transparency, reduce duplication, and strengthen organizational trust. Perfect for auditors, risk leaders, and compliance professionals looking to elevate their impact in an AI-powered world.

Build the Future of Intelligent Automation Step into the world of intelligent automation with the AI+ Agent™ certification — a practical, beginner-friendly program designed to help you understand, design, and deploy AI agents that work smarter. You’ll learn how to build task-oriented and conversational agents, orchestrate multi-agent workflows, and integrate intelligent systems into real business environments. Through guided projects, hands-on exercises, and real-world case studies, this course empowers you to create AI agents that automate processes, enhance customer experiences, and drive measurable impact across industries. Whether you’re an aspiring AI professional, engineer, product manager, or operations specialist, this certification gives you the skills and confidence to lead AI-powered automation initiatives.

The Applied Agentic AI: Systems, Design & Impact programme is designed to guide you through the emerging field of agentic AI. It combines Microsoft’s AI technology expertise with instructor-led training, live online sessions, and hands-on projects.

The Professional Certificate in Data Science and Generative AI, provides a comprehensive curriculum for mastering data science, machine learning, and Generative AI. Combining theoretical learning with practical application, participants gain expertise in programming, data management, applied data science with Python, machine learning, deep learning, and generative AI techniques.

Develop the expertise to craft and execute AI-powered strategies that drive meaningful innovation and sharpen your organization's competitive edge! The Generative AI for Business Transformation program in collaboration with Michigan Engineering Professional Education powered by Simplilearn arms business leaders with the knowledge to embed AI across core operations, elevate organizational efficiency, and build a lasting advantage in an increasingly AI-driven marketplace.

The Applied Generative AI Specialization in collaboration with Michigan Engineering Professional Education powered by Simplilearn is an immersive, project-driven program built to equip professionals with the expertise to engineer practical, scalable, and ethical generative AI solutions. Suitable for IT and data professionals, product and program managers, consultants, and emerging technologists, the specialisation emphasises applying GenAI capabilities to real-world business and technical problems.

The Blockchain+ Developer certification offers a thorough introduction to blockchain technology and smart contracts, equipping learners with the knowledge and skills to thrive in this rapidly evolving field. The program starts with blockchain fundamentals, including its history, core principles, and decentralized system architecture. Participants will study consensus mechanisms like PoW and PoS, along with smart contract creation and management using languages such as Solidity. Advanced topics include complex Solidity structures, tokenization, and non-fungible tokens (NFTs).

The Bitcoin+ Security™ certification provides in-depth knowledge of the mechanisms and protocols that safeguard Bitcoin and other cryptocurrencies. Learners will study blockchain ledger security through concepts such as integrity, authentication, and block mining. The program covers cryptographic principles and consensus models like Proof of Work (PoW) and Proof of Stake (PoS), examining both their strengths and vulnerabilities.

The Bitcoin+ Developer™ certification equips developers with comprehensive knowledge of Bitcoin, from foundational concepts to advanced scripting and application development. The program covers Layer 2 scaling solutions, real-world use cases, security best practices, and SDK/API integration to enhance and protect Bitcoin applications.

The AI+ Robotics Certification provides an immersive exploration of the intersection between Artificial Intelligence (AI) and Robotics. Tailored for professionals aiming to excel in this field, it covers foundational concepts, advanced Deep Learning (DL), and Reinforcement Learning (RL) techniques applied specifically to robotics.

The AI+ Quantum Certification offers a comprehensive exploration of the convergence between Artificial Intelligence (AI) and Quantum Computing. Tailored for professionals seeking expertise in this cutting-edge field, the program covers fundamental concepts, advanced techniques, and the ethical aspects of AI-Quantum integration. Learners will study Quantum Computing Gates, Circuits, and Algorithms, emphasizing their applications in AI.

Become a High-Demand AI Engineer! Our AI Engineer Bootcamp is a practical, self-paced learning program designed for AI enthusiasts eager to fast-track their careers. The bootcamp guides you from the ground up, starting with Math, Statistics, and Python programming, and progressing to building advanced Machine Learning models (Supervised, Unsupervised, and Reinforcement Learning) and Deep Learning systems.

This comprehensive course provides the knowledge and skills to deploy deep learning tools using AI/ML frameworks effectively. You will explore the fundamental concepts and practical applications of deep learning while gaining a clear understanding of the distinctions between deep learning and machine learning. The course covers a wide range of topics, including neural networks, forward and backward propagation, TensorFlow 2, Keras, performance optimization techniques, model interpretability, Convolutional Neural Networks (CNNs), transfer learning, object detection, Recurrent Neural Networks (RNNs), autoencoders, and creating neural networks in PyTorch. By the end of the course, you will have a solid foundation in deep learning principles and the ability to build and optimize deep learning models effectively using Keras and TensorFlow.

The Natural Language Processing (NLP) course provides an in-depth exploration of how machine learning algorithms are used to analyze and process vast amounts of natural language data. As NLP continues to drive advancements in AI, this course equips you with the essential skills to pursue a career as an NLP Engineer. Throughout the course, you will delve into key concepts such as statistical machine translation, neural models, deep semantic similarity models (DSSM), neural knowledge base embedding, and deep reinforcement learning techniques. Additionally, you will explore the application of neural models in image captioning and visual question answering, leveraging Python’s Natural Language Toolkit (NLTK).

The AIOps Foundation® is a two-day training course designed to cover the roots of AIOps. Learners will gain insight into processes that combine big data analytics, machine learning algorithms, automation and optimization into a single platform. The AIOps Foundation course will equip learners to successfully complete the AIOps Foundation certification exam.

This is a comprehensive two-day training designed to provide participants with a solid understanding of AI principles and practices. The course prepares individuals for the EXIN BCS Artificial Intelligence Foundation certification exam.

This Machine Learning with Python course provides an in-depth overview of ML topics, including working with real-time data, developing supervised and unsupervised learning algorithms, regression, classification and time series modelling. In this machine learning certification training course, you will learn how to use Python to make predictions based on data. Upon completion of this Machine Learning using Python course, you will receive a certificate attesting to your skills as a machine learning expert.

Elevate your career with this in-depth AI and machine learning program, weaving together conceptual foundations, project-based learning, and applied exercises under the academic oversight of Michigan Engineering Professional Education powered by Simplilearn. You'll build a strong command of core AI and ML concepts while gaining the hands-on proficiency to deploy leading tools and techniques in tackling genuine, real-world business challenges.

The Microsoft AI Engineer Program delivers a comprehensive curriculum designed to build full-spectrum AI expertise. It covers essential areas such as Python programming, applied data science, machine learning, and deep learning, while offering focused tracks in natural language processing, generative AI, and Microsoft Copilot. Participants apply their knowledge through practical projects and a capstone that highlights their ability to tackle real-world business challenges.