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.

Advance your career with this AI and Machine Learning certification program, offered in partnership with Purdue University Online and IBM. Gain hands-on experience and expertise in high-demand areas like AI automation, ChatGPT, large language models (LLMs), deep learning, neural networks, chatbots, agentic frameworks, and more.