This course starts by providing conceptual knowledge of neural networks, machine learning algorithms, and deep learning (including algorithms and applications). Part 1 (40%) of this training focuses more on fundamentals, but will help you choose the right technology: TensorFlow, Caffe, Theano, DeepDrive, Keras, etc. Part 2 (20%) of this training introduces Theano, a Python library that makes writing deep learning models easy. Part 3 (40%) of the
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nobleprog.in › Cc › Mlintro
Introduction to Machine Learning Training Course
This training course is designed for individuals keen on applying fundamental Machine Learning techniques in practical, real-world scenarios.AudienceParticipants include data scientists and statisticians who possess a working knowledge of machine learning concepts and proficiency in R programming. The course places a strong emphasis on the practical dimensions of data and model preparation, execution, post-hoc analysis, and visualization. Its primary goal is to provide a hands-on introduction to
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nobleprog.in › cc › phppatref
PHP Patterns and Refactoring Training Course
This course is tailored for seasoned programmers eager to delve into the intricacies of design patterns and refactoring. Participants will gain insight into the core principles and practical applications of these patterns, empowering them to construct robust and efficient application code.
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nobleprog.in › cc › 5s
Lean5S Training Course
The Lean 5S training provides participants with comprehensive knowledge of Lean Manufacturing principles, with a particular emphasis on the 5S methodology. The course begins with the historical context, presenting the evolution of production systems – from Henry Ford's innovations to the advanced Toyota Production System. Participants will gain practical skills related to efficient workplace organization, identification and elimination of waste, and implementation of the five pillars of 5S: Sort
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nobleprog.in › cc › undnn
Understanding Deep Neural Networks Training Course
This course starts by providing conceptual knowledge of neural networks, machine learning algorithms, and deep learning (including algorithms and applications). Part 1 (40%) of this training focuses more on fundamentals, but will help you choose the right technology: TensorFlow, Caffe, Theano, DeepDrive, Keras, etc. Part 2 (20%) of this training introduces Theano, a Python library that makes writing deep learning models easy. Part 3 (40%) of the training would be extensively based on TensorFlow
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nobleprog.in › cc › sparkcloud
Apache Spark in the Cloud Training Course
Initially, the learning curve for Apache Spark can be steep, requiring significant effort before yielding tangible results. This course is designed to help you navigate that initial challenging phase. Upon completion, participants will grasp the fundamentals of Apache Spark, clearly distinguish between RDDs and DataFrames, and gain proficiency in the Python and Scala APIs. The curriculum covers essential concepts such as executors and tasks, alongside best practices with a strong emphasis on clo
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nobleprog.in › cc › serverlessonkubernetes
Serverless on Kubernetes Fundamentals Training Course
Serverless is a DevOps architecture that enables the creation and deployment of highly scalable enterprise applications without the need to provision any servers. Kubernetes is an open-source platform designed for building container-based and cloud-native projects. A serverless framework can be integrated with Kubernetes to provide the automated hosting infrastructure required for running CaaS and FaaS implementations.This instructor-led, live training (available online or onsite) is designed fo
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nobleprog.in › cc › aiint
Artificial Intelligence (AI) Overview Training Course
Understanding the fundamentals of artificial intelligence demonstrates how intelligent technology is transforming digital strategy, automation, and decision-making across enterprise operations. This course examines core concepts including the history of AI, problem-solving frameworks, knowledge representation, reasoning under uncertainty, and machine learning paradigms, alongside communication, perception, and autonomous actions. It equips executives and architects to evaluate opportunities for
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nobleprog.in › cc › stablediffusion
Introduction to Stable Diffusion for Text-to-Image Generation Training Course
Stable Diffusion is a robust deep learning model designed to create highly detailed images based on text descriptions.This instructor-led, live training—offered both online and onsite—is tailored for data scientists, machine learning engineers, and computer vision researchers aiming to effectively utilise Stable Diffusion to generate high-quality images for diverse applications.Upon completion of this training, participants will be able to:Grasp the core principles of Stable Diffusion and its im
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nobleprog.in › cc › chatgptforcontentcreation
ChatGPT for Content Creation Training Course
ChatGPT is a sophisticated AI-driven language model capable of comprehending and generating text that closely resembles human writing. Within the field of content creation, ChatGPT serves as a robust tool to boost creativity, spark new ideas, and streamline the overall production workflow. This instructor-led, live training, available both online and onsite, is designed for content creators eager to harness the power of ChatGPT to produce engaging, high-quality content with greater efficiency. U
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nobleprog.in › cc › ollama
Getting Started with Ollama: Running Local AI Models Training Course
Ollama is an open-source platform enabling users to run large language models (LLMs) locally, eliminating the need for cloud-based services. This instructor-led live training, available online or on-site, is designed for professional beginners aiming to install, configure, and utilize Ollama to execute AI models on their local machines. Upon completing this training, participants will be able to: Grasp the core principles and capabilities of Ollama. Configure Ollama for local AI model execution.