Artificial Intelligence Guide

AI is the theory and development of computer systems that are capable of performing tasks that require human intelligence. AI makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks.

Skills Required

– Programming languages
– Linear algebra and statistics
– Signal processing techniques
– Neural network architectures
– Libraries and frameworks
– Domain knowledge
– And more

Responsibilities

– Builds AI models using machine learning algorithms
– deep learning neural networks to draw business insights
– Automate infrastructure that the data science team uses
– Perform statistical analysis and tune the results so that the organization can make better-informed decisions
– Set up and manage AI development and product infrastructure
– Convert the machine learning models into application program interfaces (APIs) so that other applications can use it
– Build AI models from scratch and help the different components of the organization understand what results they gain from the model
– Build data ingestion and data transformation infrastructure
– And more

Certification

– MS AZURE AI ASSOCIATE4
– IBM Applied AI Professional Certificate
– IBM AI Engineering Professional Certificate