Artificial Intelligence IBM Skills Academy
IBM Skills Academy
Artificial Intelligence
IBM
Skills Academy Course
Artificial Intelligence
Artificial intelligence (AI) is the science behind systems that can program themselves to classify, predict and recommend.
From banks that are training AI to empower their digital workforce, to telecommunication companies that are setting up smart chatbots to transform customer service, AI is paving the way from the global adoption of autonomous cars, and used at the outbound reaches of space exploration.
About IBM Skills Academy Artificial Intelligence
This explores the topics, technology and skills required to gain practice in the successful application of AI techniques to address key industry problems.
AI Practitioners –
Can contribute to the digital transformation of enterprises by leveraging their understanding on industry AI adoption patterns. Familiar with AI technologies such as natural language processing, machine learning, neural networks, virtual agents, and computer vision.
Audience
Individuals with an active interest in applying for entry level jobs to work in AI related fields.
Prerequisite skills for this course:
- Basic IT literacy skills
- Fundamental modern software concepts such as databases, parallel processing, searching, indexing
- Understanding that machine learning is not static programming
Journey
75 Hours - represents a combination of class time, lab exercises, assigned reading and projects
25% Concepts
Concepts Expanding the knowledge and understanding of the topic through lecture training, examples, videos and quizzes.
35% Technologies
Technologies Actual implementation of the concepts learned through simulations, hands-on labs and games.
40% Industry Use Cases
Industry Use Cases Realization of the real-world impact of the topics covered through the exposure to industry case studies.
Objectives
- Understand the evolution and relevance of AI in the world today.
- Explore opportunities brought by the intersection between human expertise and machine learning.
- Analyze existing and future implementations of AI solutions across multiple industries including automotive, education, policy, social media, government, consumer, and others.
- Gain a competitive edge using low-code cloudbased AI tools and pre-built machine learning algorithms.
- Understand AI technology building blocks, including natural language processing, machine and deep learning, neural networks, virtual agents, autonomics and computer vision.
- Develop a deeper understanding of machine learning techniques and the algorithms that power those systems.
- Learn in-demand agile industry practices for Design Thinking and AI through an end-to-end industry use case experience.
- Engage in role-playing challenge-based scenarios to propose real-world solutions to different industries using AI and design thinking.
