ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING

ChatGPT for Product Development

Duration: 2 days – 14 hrs Overview The ChatGPT for Product Development Training Course is a comprehensive and practical program designed to equip product development professionals with the knowledge and skills to harness the power of ChatGPT, an advanced AI language model, in their product development workflows. This instructor-led training provides participants with hands-on experience...

ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING

Codex AI for Quality Assurance: Introductory to Intermediate

Codex AI for Quality Assurance introduces QA professionals to using AI for software testing, test case generation, test automation, debugging assistance, and productivity improvement from introductory to intermediate level.   Duration 4 Days – 28 hrs.   Overview This four-day practical training course equips quality assurance professionals with the foundational and intermediate skills required to...

ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING

Computer Vision

Computer Vision Training is a practical, hands-on program designed to help participants understand how artificial intelligence and machine learning enable computers to interpret and analyze images and video. The course combines fundamental concepts with practical development techniques to help learners build computer vision solutions for real-world applications.   Duration 3 days – 21 hrs  ...

ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING

Data Handling & Preprocessing

Data Handling and Preprocessing is a practical, hands-on training program designed to help participants develop the essential skills needed to collect, clean, transform, organize, and prepare data for analysis and machine learning. Since the quality of data directly affects the reliability of analytical results and predictive models, effective data preparation is a critical step in...

ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING

Data Modeling and Design Using Erwin

This course introduces people to the principles and process of logical data modeling, Physical Data Modeling using ERWin Tool. The course details how to convert the business data requirements into a graphical representation. It teaches people how to analyze business requirements that should be incorporated into a logical data model and in Physical Data model in turn. In short, participants will learn proven, practical skills for analyzing and modeling data requirements, and make them ready to be transformed into a relational database and design multi Dimensional Database.

ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING

Data Science and ML with Modeling Techniques

Data Science and Machine Learning is a practical, hands-on training program designed to help participants develop the skills needed to transform raw data into meaningful insights and predictive models. The course combines essential data science concepts, data analysis, machine learning algorithms, and modeling techniques to provide learners with a structured understanding of how data-driven solutions...

ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING

Data, AI, Analytics, and Technology Fundamentals

Data and AI Fundamentals is a comprehensive introductory training program designed to help professionals, aspiring technology specialists, business users, and curious learners build a strong understanding of data, artificial intelligence, analytics, and the technologies shaping today’s digital world. Data, AI, Analytics, and Technology Fundamentals Course Overview This foundational course provides participants with a practical understanding...

ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING

Deep Learning Fundamentals

Course Customization Options To request a customized training for this course, please contact us to arrange.

ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING

Deep Learning Specialization with AI

Overview Deep Learning Specialization with AI Training Course is an intensive program designed to provide participants with an in-depth understanding of deep learning techniques and their applications in artificial intelligence. This specialization covers a wide range of topics, from foundational concepts to advanced deep learning algorithms, enabling participants to develop the skills necessary to build...

ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING

Deep Learning with Keras and TensorFlow

Course Customization Options To request a customized training for this course, please contact us to arrange.

ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING

Deep Learning with MATLAB

Course Customization Options To request a customized training for this course, please contact us to arrange.

ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING

Deep Learning with Python

Deep Learning refers to the ability of an "artificial agent" to learn by trial-and-error and rewards-and-punishments. An artificial agent aims to emulate a human's ability to obtain and construct knowledge on its own, directly from raw inputs such as vision. To realize reinforcement learning, deep learning and neural networks are used. Reinforcement learning is different from machine learning and does not rely on supervised and unsupervised learning approaches.

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