Overview of Artificial Intelligence Course in Newcastle

Artificial Intelligence (AI) has become one of the fastest-growing fields in the technology industry, transforming the way we live, work, and communicate. As businesses increasingly adopt AI solutions, the demand for skilled professionals in this area is rapidly growing. If you're looking for an Artificial Intelligence course in Newcastle, you're in luck - there are several options available to help you gain the expertise you need to succeed in this exciting field. The North East Futures University Technical College (UTC) in Newcastle offers a comprehensive course in AI and Data Science, in partnership with Accenture. This course enables you to develop the technical skills required to build AI applications, as well as the critical thinking and problem-solving abilities needed to solve complex business challenges. You'll learn how to design algorithms, build predictive models, and develop machine learning solutions using Python, TensorFlow, Keras, and other key tools. The course is taught by experienced professionals in the field, who bring real-world insights and expertise to the classroom. You'll also have access to state-of-the-art facilities and equipment, including a robotics lab and a dedicated data science centre. This hands-on approach enables you to apply your learning in practical scenarios, gaining valuable experience that will help you succeed in the job market. Another option for an AI course in Newcastle is provided by Newcastle University's School of Computing. Their MSc in AI and Data Science is designed to equip students with the technical and analytical skills required to succeed in this field. You'll learn how to build AI systems that can reason, plan, and learn, as well as how to extract insights from data using advanced analytics and visualisation techniques. The course covers a wide range of topics, including machine learning, big data, computer vision, natural language processing, and robotics. You'll also have the opportunity to undertake a research project in an area of your choice, putting your learning into practice and gaining valuable experience. If you're looking for a more flexible option, there are also several online courses available in AI that you can complete at your own pace. For example, Udemy offers a range of AI courses, including an AI for beginners course that covers the fundamentals of AI, machine learning, and deep learning. This course is designed for those with no prior experience in the field and can be completed in as little as two hours. Another online option is Coursera, which offers a range of AI courses from top universities around the world. You can choose from courses on topics such as machine learning, deep learning, computer vision, and natural language processing. These courses typically take several weeks to complete and include both video lectures and hands-on assignments to help reinforce your learning. In conclusion, if you're looking to develop your skills in Artificial Intelligence, there are several excellent options for courses in Newcastle, from full-time master's programmes to flexible online courses. Whether you're just starting out in the field or looking to develop your existing knowledge and skills, there is an AI course that can help you achieve your goals.

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₹70

₹9

Skill Level

Beginner

Internship

Yes

Live Project

2

Certificate

Yes

Live Training

Yes

Career Assistance

Yes

Expiry Period

1 Months
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Artificial Intelligence Tools Covered

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Syllabus

- Overview of AI and ML

- Types of Machine Learning

- Data Collection and Preprocessing

- Basic Statistics for AI

- Python Essentials for AI

- Regression Analysis

- Classification Algorithms

- Ensemble Methods

- Model Evaluation Techniques

- Feature Engineering and Selection

- Introduction to Clustering

- Dimensionality Reduction Techniques

- Association Rule Learning

- Anomaly Detection

- Self-Organizing Maps (SOM)

- Introduction to Neural Networks

- Deep Neural Networks (DNNs)

- Convolutional Neural Networks (CNNs)

- Recurrent Neural Networks (RNNs)

- Autoencoders and Generative Models

- Introduction to NLP and Text Processing

- Text Classification and Sentiment Analysis

- Advanced NLP Techniques

- Deep Learning in NLP

- Speech Recognition and Processing

- Introduction to Computer Vision

- Image Classification with CNNs

- Object Detection Techniques

- Image Segmentation

- Video Processing and Analysis

- Introduction to Reinforcement Learning

- Markov Decision Processes (MDP)

- Q-Learning and SARSA

- Deep Q Networks (DQN)

- Applications of Reinforcement Learning

- Ethical Implications of AI

- Fairness and Bias in AI

- Privacy and Security Concerns

- Explainability in AI

- Legal and Regulatory Aspects

- AI in Healthcare

- AI in Finance

- AI in Manufacturing

- AI in Retail

- AI in Autonomous Systems

- Defining and Planning a Capstone Project

- Data Preparation for Projects

- Model Building and Testing

- Model Deployment Techniques

- Project Presentation and Evaluation

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