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- Duration / Course length: 5 Days
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Course details
OverviewArtificial Intelligence (AI) is a branch of computer science that focuses on creating intelligent machines that can perform tasks that normally require human intelligence such as:
- Perception
- Reasoning
- Learning
- Decision making
- Natural language processing.
AI can be applied in a wide range of fields including healthcare finance education transportation and entertainment. It has become an essential part of the technology industry. Research associated with artificial intelligence is highly technical and specialised.
Objective
- History of Artificial Intelligence
- What is Artificial Intelligence?
- Application of Artificial Intelligence
- Artificial Intelligence Intelligent Systems
- Problems in Artificial Intelligence
- Approaches used in Artificial Intelligence
- Tools used in Artificial Intelligence
- Different types of Artificial Intelligence Technology
- Agents and Environments in Artificial Intelligence
- Artificial Intelligence Expert Systems
- Artificial Intelligence Robotics
- What is strong and weak Artificial Intelligence?
Who Should Attend
The course on Artificial Intelligence outlined above is suitable for anyone who wants to gain a basic understanding of AI, including its subfields, applications, and ethical considerations. The course is especially useful for the following groups of individuals:
- Business executives and managers who want to understand the potential of AI and how it can be leveraged to gain a competitive advantage in their industry.
- IT professionals who want to learn the fundamentals of AI and how it can be integrated into their projects.
- Data scientists and analysts who want to expand their knowledge and skills in AI and its subfields.
- Anyone who is interested in learning about AI and its impact on society. The course is designed for individuals with little or no prior knowledge of AI, but it can also serve as a refresher for those who have some familiarity with the topic.
Course Outlines
Day 1:Introduction to AI
- What is AI?
- Brief history of AI
- Different types of AI and their applications
- Key concepts and terminology
Day 2: Machine Learning
- Introduction to machine learning
- Supervised unsupervised and reinforcement learning.
- Classification and regression
- Overfitting and underfitting
- Model evaluation and selection
Day 3:Neural Networks and Deep Learning
- Introduction to neural networks
- Structure and working of a neural network.
- Activation functions
- Convolutional neural networks (CNN) and their applications
- Recurrent neural networks (RNN) and their applications
Day 4:Natural Language Processing
- Introduction to NLP
- Tokenization stemming and lemmatisation.
- Part-of-speech tagging
- Named entity recognition.
- Sentiment analysis
Day 5:Future of AI and Ethics
- Emerging trends in AI
- AI and its impact on society
- Ethical considerations in AI development and use
- Bias and fairness in AI
- Explainable AI
Job roles this course is suitable for:
Business Execution Consultant , IT Professionals- Software Engineer , Test Engineer , QA/QC , IT professional , Data Scientist , Data AnalystAbout London Training For Excellence
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