Course description
There is a technological revolution happening, changing all aspects of our daily lives. AI (Artificial Intelligence) has penetrated deep into our activities, interactions, professions, comforts, and experiences.
Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans: learn by example. Deep learning is a key technology behind autonomous vehicles, enabling them to recognize a stop sign or to distinguish a pedestrian from a lamppost. It is the key to voice control in consumer devices like phones, tablets, TVs, and hands-free speakers. Deep learning is getting lots of attention lately and for good reason. It’s achieving results that were not possible before.
With AI, through deep learning models, machines can learn to predict outcomes based on the information you have available today. The result of a well-architected model can achieve state-of-the-art accuracy that, when combined with human intelligence, will yield extraordinary outcomes.
Upcoming start dates
Who should attend?
This course does not require any application development experience and is designed for the following categories of professionals:
- Data Scientists & Data Modelers
- Engineers interested in learning about and implementing AI-based solutions
- Developers and Application Team Leads
- Project and Program Managers
- Software Managers
- IT Operations Staff
Training content
In This Artifical Intelligence and Deep Learning Course You Will:
- Understand the field of Artificial Intelligence
- Be able to describe AI Modelling
- Learn about the countless practical applications of AI
- Study how to build AI models using widely available tools
- Know the best practices to follow when working with AI
Outline Of Topics
- Module 1: Introduction to the discipline of Artificial Intelligence (AI)
- Module 2: Introduction to Machine Learning (ML) and Deep Learning (DL)
- Module 3: Practical Applications of AI, ML, and DL
- Module 4: Practical Aspects of Deep Learning
- Module 5: AI Modelling- Defined
- Module 6: Selecting the correct Algorithm
- Module 7: Tuning AI Models
- Module 8: Foundations of Convolutional and Recurrent Neural Networks (CNN & RNN)
- Module 10: Introduction to Large Language Models (LLMs)
Why choose Velocity Knowledge?
Customized training programs for every organization
Industry-proven instructors, consultants, and experts
Efficient learning methods for your unique business objectives
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Velocity Knowledge
Velocity Knowledge is an Enterprise Education Provider made up of qualified educational professionals who have survived the budget cuts, lived through the training wars, adjusted to industry changes, and learned what it is that customers are looking for. Velocity Knowledge...