ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING
Duration 2 days – 14 hrs Overview This introductory training program is designed to provide frontline and administrative personnel with a fundamental understanding of Data Science and Artificial Intelligence (AI). The course focuses on how data is collected, processed, and analyzed in modern workplaces and introduces AI applications that enhance efficiency, decision-making, and automation...
ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING
Duration 3 days – 21 hrs Overview This course provides a beginner-friendly introduction to the core concepts of machine learning (ML). Participants will learn the differences between supervised and unsupervised learning, explore fundamental algorithms like regression and classification, and get hands-on practice using Python’s powerful scikit-learn library to build simple ML models. ...
ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING
Duration 1 day – 7 hrs Overview This course introduces participants to today’s most popular Generative AI (GenAI) tools without the need for programming knowledge. It focuses on practical, hands-on usage of leading GenAI platforms such as ChatGPT, Claude, DeepSeek, and Grok. Learners will discover how to leverage these AI tools for content...
ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING
The Machine Learning and API with Python training equips developers with practical skills in machine learning and Python API development. This hands-on program covers data preprocessing, ML model building and creating scalable APIs with Flask and Django. By the end of this course, participants will deploy machine learning models as APIs, ensuring seamless integration into applications.
ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING
The Machine Learning and Deep Learning course provides an in-depth understanding of neural networks, TensorFlow, and AI model deployment. Participants will explore convolutional neural networks (CNNs) for image recognition and recurrent neural networks (RNNs) for NLP applications. Learn how to optimize AI models, tune hyperparameters, and deploy machine learning solutions using TensorFlow and Keras. This course is designed for software engineers, data scientists, and statisticians looking to advance their careers in AI. Join us to gain practical experience in Machine Learning and Deep Learning and master cutting-edge AI technologies.
ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING
Duration 3 days – 21 hrs Overview This course provides a practical, hands-on approach to building and evaluating machine learning models using real-world datasets. Participants will dive deeper into supervised learning techniques, including Decision Trees, Support Vector Machines (SVM), K-Nearest Neighbors (KNN), and Naive Bayes classifiers. The course also emphasizes model evaluation, optimization...