Artificial Intelligence and Deep Learning
Artificial Intelligence (AI) is the study and creation of intelligent entities -- software or machine -- that can perceive environments and manipulate them logically, often mimicking human abilities. AI feeds on large data sets and gains intelligence through algorithmic learning.
AI is a game-changing technology for customer acquisition, automation, design, research, and product development. A recent Massachusetts Institute of Technology/Sloan Management review study found that more than 84% of executives have prioritized AI adoption for competitive advantage.
While AI continues to disrupt global business, an acute shortage of AI talent is hindering progress – this skills gap has resulted in skyrocketing demand for AI professionals. Average salaries in 2019 for AI-related roles range from ~$140,000-$145,000.*
Emory Artificial Intelligence (AI) and Deep Learning (DL) Program
Emory Continuing Education’s AI/DL curriculum -- designed for college graduates and working professionals -- focuses on practical applications and core concepts to prepare participants for real-world business problems and AI-related careers. The course blends theoretical elements and hands-on, problem-solving techniques in order to build a solid foundation in various AI, ML, and DL methodologies. Students will gain practical training in developing, optimizing, and scaling intelligent systems for diverse, cutting-edge applications.
In addition to implementing DL and AI functionality in Python, students will work with in-demand platforms including TensorFlow, Keras, and NVIDIA digits. These tools enable students to build and optimize AI applications without getting lost in the underlying theoretical concepts. The concluding Capstone projects will allow students to form teams and address actual business case scenarios.
- Introduction to AI
- Statistics and uncertainty
- Intelligent problem-solving agents
- Fundamentals of ML
- Supervised & Unsupervised Learning
- Neural networks
- Cloud services & AI
- Markov decision process, models, and applications in AI
- Deep, convolutional, and recurrent neural networks
- Reinforcement learning
- DL applications in Natural Language Processing (NLP), Computer Vision, and Audio Processing
- Practicum: build, train, optimize, scale, and deploy ML, DL, and AI models using popular frameworks, tools and libraries.
Prerequisite: Ability to use Python for data wrangling, established by either prior knowledge or completion of Emory's Big Data or Applied Machine Learning and Data Science with Python program.
Tuition: $4,995 -- Students who have previously completed ECE’s Big Data and/or Applied Machine Learning and Data Science with Python programs are eligible for a 10% discount on AI program tuition. Contact Hamid Arjmand at email@example.com for the promo code.
|Course Length: 96 hours, 12 Saturdays
Next Course Begins: Saturday, Jun 22 - Sep 21, 2019 / 8:30 a.m. – 5:30 p.m.
|Upcoming Information Sessions|
|For more details, please contact Hamid Arjmand at firstname.lastname@example.org / 404.727.5513.|