Artificial Intelligence
- Learn advance Data Science, NLP using Javascript programming, and Machine Learning.
- Understand unsupervised learning, advanced concepts covering artificial neural networks, and layers of data abstraction and TensorFlow.
Henry
Data Scientist
(27 Reviews)
Ensure your career success with this Artificial Intelligence program. This program is a blend of Artificial Intelligence, Data Science, Machine Learning, and Deep Learning, enabling the real-world implementation of advanced tools and models. This AI certification course is designed to give you in-depth knowledge of Artificial Intelligence concepts, including the essentials of statistics required for Data Science, NLP using Javascript programming, and Machine Learning. In addition, through these AI courses, you will learn how to develop deep learning and essential Machine Learning techniques, such as supervised and unsupervised learning, advanced concepts covering artificial neural networks, and layers of data abstraction and TensorFlow.
Artificial intelligence and Machine Learning will impact all segments of daily life by 2025, with applications in a wide range of industries such as healthcare, transportation, insurance, transport and logistics, and customer service. A role in this domain places you on the path to an exciting, evolving career that is predicted to grow sharply into 2025 and beyond.
Why become an AI Engineer?
The current and future demand is staggering. The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people to fill these jobs, which according to Paysa, earn an average salary of $172,000 per year in the US for AI Engineers with the required skills.
Who should take this Artificial Intelligence course?
With the demand for AI in a broad range of industries, our AI certification course is well suited for a variety of roles and disciplines, including:
- Developers aspiring to be an Artificial Intelligence Engineer or Machine Learning Engineer
- Analytics Managers who are leading a team of analysts
- Information Architects who want to gain expertise in Artificial Intelligence algorithms
- Analytics professionals who want to work in machine learning or artificial intelligence
- Graduates looking to build a career in Artificial Intelligence and machine learning
- Experienced professionals who would like to harness Artificial Intelligence in their fields to get more insight
AI
What you will learn
- Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs)
- GANs (Generative Adversarial Networks)
- Convolutional Neural Networks (CNNs)
- Tensorflow Serving to serve your model using a RESTful API
- Tensorflow's Distribution Strategies to parallelize learning
- Natural Language Processing (NLP) with Deep Learning
- Transfer Learning to create state-of-the-art image classifiers
- Understand the concepts of NLP, NLU, NLG, NER and how they are applied
- Build your own Perceptron in javascript from scratch and your own NLU Classifier
- Write NLU classifiers in javascript using Brain, Tensorflow, NLPjs Neural, Microsoft LUIS
- Different KPIs for NLU: Machine Learning Measures, Confidence, Clarity, TPS, Language Support
- Build your own chatbot, benchmark it, do it multi-language, publish into console, add a web for talking with the chatbot
- Understand the concept of Explainable AI and uncover the BlackBox nature of Artificial Neural Networks and visualize their hidden layers using GradCam technique.
- Understand the theory and intuition behind Segmentation models and state-of-the-art ResUnet networks.
Course Components
- Deep Learning and Computer Vision OpenCV, SSD & GANs Training Course
- Artificial Intelligence and Machine Learning for Business Training Course
- Tensorflow Deep Learning and Artificial Intelligence Training Course
- Artificial Intelligence Learn How To Build An AI Training Course
- Conversational AI (Chatbots) and NLP using JavaScript Training Course
- Modern Artificial Intelligence Project Builds Training Course