Online Deep Learning Courses & Certificate Programs

As the world's leading provider of futuristic learning experiences, Emeritus collaborates with over 50 universities worldwide. Enhance your proficiency and aptitude in deep learning with the below online courses and certificate programs. Technical product managers, technology professionals, technology consultants, founders of AI startups, and UI/UX designers, are ideal candidates for the below courses. In fact, senior business leaders, mid-career professionals looking to bolster their career opportunities through new technologies, data scientists, and others can take up the below courses. Henceforth, learn more about the curriculum, duration, eligibility, highlights, and learning outcomes by clicking below listed programs.

Courses in Business Analytics | Education Program  | Emeritus

Indian School of Business

Applied Business Analytics

12 Weeks

Online

Advanced

Starts on: December 27, 2023

Courses in Technology | Education Program  | Emeritus

Berkeley Executive Education

Artificial Intelligence: Business Strategies and Applications

2 months

Online

Starts on: January 11, 2024

Courses in AI and Machine Learning | Education Program  | Emeritus

MIT xPRO

Designing and Building AI Products and Services

8 Weeks

Online

Starts on: January 18, 2024

Courses in AI and Machine Learning | Education Program  | Emeritus

Imperial College Business School Executive Education

Professional Certificate in Machine Learning and Artificial Intelligence

25 weeks

Online

Starts on: January 23, 2024

Courses in Technology | Education Program  | Emeritus

Carnegie Mellon University School of Computer Science

Natural Language Processing

10 Weeks

Online

Starts on: February 8, 2024

Courses in Technology | Education Program  | Emeritus

Carnegie Mellon University School of Computer Science

Deep Learning

10 Weeks

Online

Starts on: February 8, 2024

Courses in AI and Machine Learning | Education Program  | Emeritus

Imperial College Business School Executive Education

Professional Certificate in Data Analytics

25 Weeks

Online

Starts on: February 8, 2024

Courses in Data Science and Analytics | Education Program  | Emeritus

Professional Certificate in Data Engineering with Microsoft Azure

6 months

Online

Starts on: February 8, 2024

Courses in Technology | Education Program  | Emeritus

Berkeley Executive Education

Future of Technology: Trends, Strategies, and Innovation Opportunities

2 months

Online

Starts on: June 20, 2024


What is Deep Learning?

As a subset of machine learning, deep learning attempts to imitate human brain activity, thus allowing systems to cluster and categorize data to make predictions. It comprises neural networks of three or more layers, facilitating incredible accuracy and learning from large volumes of data. In addition to a single layer, the presence of more layers helps optimize systems further and ensures unhindered operation.

Most artificial intelligence (AI) services and applications employ deep learning to perform analytical and physical undertakings without human intervention and boost automation. In addition, day-to-day activities, such as voice-enabled remotes and digital assistants, as well as emerging technologies, such as self-driven automobiles, are powered by a combination of AI, machine learning, and deep learning.

Why is Deep Learning Important?

In recent years with the advancements in AI, deep learning forms the backbone of most data-based systems and applications. Some of the most widely used technological processes, such as face and speech recognition, computational vision, and semantic interpretation require applied deep learning to function.

In addition, organizations have recognized the versatility of deep learning. As a result, they are gradually integrating it into automotive, marketing, finance, entertainment, and communications sectors. Healthcare also uses deep learning for a variety of operations. These include analyzing results, radiographs, and genomes, obtaining personalized diagnoses and treatments for patients, and creating comparatives to generate preventive measures against diseases.

Can I learn about deep learning online?

With organizations recognizing the growing need for deep learning in their operations and business strategy, they prefer hiring professionals with a penchant for the same. This has, in turn, spurred job-seekers to upskill, which has led several resources to emerge. Among these, online deep learning courses have garnered immense popularity as they are affordable, engaging, and offered by some of the most distinguished institutions in the world. Most of these courses also offer certification. In addition, they are a helpful way of mastering the fundamentals of deep learning, fine-tuning the skills you already have, and advancing to the more complex aspects of the subject.

What kind of career can I pursue with a background in deep learning

The deep learning market forecast shows a valuation growth of USD 18.16 billion by 2023, at a CAGR of 41.7% between 2018 and 2023. This signifies a considerable number of job opportunities in the field, with most extremely high-paying and professionally fulfilling.

Some of the most lucrative job roles in deep learning include a data analyst, data scientist, data engineer or machine learning engineer, and product manager. Such designations involve a blend of a thorough grasp of deep learning, creativity, technical expertise, and leadership skills.

Why take an online course at Emeritus?

Each Emeritus online course is designed keeping key learning outcomes in mind by a team of experts. We use the backward design methodology to develop instruction for learners of all ages. This enables us to craft unique, interactive, learning experiences that include a combination of assessments, hands-on activities, skill application, and more.

Emeritus also collaborates with the best universities and faculty around the world to curate the course curriculum that can effectively tackle present challenges in the industry, while preparing you for the trends and risks in the future. Our courses consist of assignments, exams, capstone projects, networking opportunities, a fine balance of practical and theoretical concepts, and the opportunity to learn from top minds in the industry. This adds to the holistic experience we try to provide for each learner.

We are also focused on providing courses that are standardized in quality. This is done by adhering to standards set by a global organization called Quality Matters which is focused on providing quality standards for online and innovative digital teaching and learning environments. The rigorous criteria ensure all our learners invest in quality education that is easily accessible and affordable.