Machine Learning Courses

The Professional Certificate in Data Science and Generative AI, offered by Purdue University Online, 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.

Gain the skills to create and execute AI-driven strategies that foster innovation and strengthen competitive advantage! The Generative AI for Business Transformation program with Purdue University Online equips leaders with the expertise to integrate AI into business operations, boost efficiency, and strengthen competitive advantage.

Offered by Purdue University Online in partnership with Microsoft Azure, this program equips professionals with the expertise needed to thrive in today’s fast-changing AI landscape. It combines academic excellence with practical learning through live classes, real-world projects, and hands-on experience with tools like ChatGPT, LangChain, Azure AI Studio, and DALL·E. The curriculum covers everything from core AI fundamentals to advanced Generative AI, agentic systems, and governance frameworks. Graduates emerge ready to lead in a GenAI-powered era, backed by recognized credentials from Purdue University Online and Microsoft.

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.