10 Best AI Online Courses & Certifications in 2023 [UPDATED]

10 Best AI Online Courses & Certifications in 2023

If you want to become an expert in Artificial Intelligence to pivot the career, optimise work tasks or reskill into a new job, you are at the right place. Structured knowledge is key to understanding how technology works, especially in the highly complex domain of Artificial Intelligence. Therefore, we picked the best courses on the market as of today – combining focused learning structure, leading experts and well-regarded certifications. Designed for beginners, students, or c-suite executives, no course is the same.

Explore the leading AI courses of 2023:

1. CFTE – Generative AI 360 Course

Summary: The Generative AI 360 specialisation curated with leaders at the forefront of AI is designed for those hungry to learn AI, but with little time to spare. This specialisation includes video lectures, industry experts interviews, hands-on projects to use Generative AI tools in finance, supplementary readings and tests, which guide participants through the entire Generative AI environment. The specialisation also includes 12 optional monthly live sessions with leading ecosystem players to provide you with the skill-set needed to thrive in Generative AI.

Advantages:

  • Bite-sized Courses: You can easily fit in 15 minute bite-sized courses into your your busy daily schedule;
  • Learn form top executives: You will gain knowledge directly from leading experts in finance, tech, consulting and academia;
  • Gain all-rounder Knowledge: This programme will help you cover all the fundamentals of Generative AI, applications and regulations;
  • Learn to apply technologies on real projects: The course will help you build the right skills to apply Generative AI to financial services;
  • Interact with leading experts: You will learn directly from those who build the AI ecosystem from the monthly live sessions on Generative AI.

Key lecturers:

  • Huy Nguyen Trieu (CEO – The Disruptive Group | Co-Founder – CFTE | Associate Fellow – Oxford)
  • Dr Prag Sharma (Global Head of AI – Citi)
  • Mehdi Ghissassi (Director & Head of Product – Google DeepMind)
  • Gilles Moyse (Co-founder/CEO – Récital)
  • Yasmina Benkhoui (Senior Manager – NVIDIA)
  • Jeremie Cornet-Vuckovic (Senior Manager in Data Consulting – Artefact)
  • Nikola Lazarov (Co-founder/CEO – Eilla AI)
  • Petar Petrov (Co-founder/CCO – Eilla AI)

Level: Beginner/Intermediate

Cost: £450

Duration: 15 minutes a day, over 6 weeks

Study Structure/Method:

  • Course Format: 100% Online
  • Course Access: 6 months access to content from the start date
  • Course Model: Instructor-Led

2. CFTE AI in Finance Specialisation

Summary: The specialisation explores how machine learning and new AI technologies are transforming all sectors of the banking and finance landscape. Thousands of professionals including those in financial institutions, industry associations, Tech companies, Fintechs and entrepreneurs have already enrolled. The specialisation is composed of 4 individual courses from AI fundamentals, AI technology to implementations.

CFTE offers Corporate Training for teams with our AI in Finance program.

Advantages:

  • In-depth Knowledge: Understand the foundations and applications of AI technology as well as the opportunities and risks associated with it;
  • Applications and Implementation: Understand the potential benefits and challenges of AI in the industry;
  • The Underlying Mechanisms of AI: Understand the development of AI and its training stages;
  • Global landscape and market trends: Explore real-world use cases in customer service, risk management, wealth management and many more;
  • Workplace Incorporation. Use AI knowledge and apply it in diverse settings from generating market reports to writing code;
  • Enhance your skillsets and get employment opportunities in finance and technology with the most up-to-date and insightful industry knowledge on AI.

Key lecturers:

  • Jean-Philippe Desbiolles (Managing Director – Financial Services, IBM)
  • David Hardoon (Group Chief Data & AI Officer – Union Bank)
  • Shonali Krishnaswamy (Chief Technological Officer – AiDA
  • Frank Chen (Senior Software Engineer – Google Research)
  • Winnie Cheng (Director of the AI Lab – PwC)

Level: Beginner/Intermediate

Cost: £600

Duration: 2-3 hours per week for 8 weeks

Study Structure/Method:

  • Course Format: 100% Online
  • Course Access: 6 months access to content from the start date
  • Course Model: Instructor-Led

3. MIT Sloan School of Management: Artificial Intelligence: Implications for Business Strategy Online Short Course

Summary: The course focuses on the organizational and managerial implications of artificial intelligence technologies and how they can be applied in the workplace, rather than on their technical dimensions. The design of this course prepares current managers and high-level executives with strategic decision-making skills to effectively analyze and articulate key AI management and leadership insights in their work with teams and organizations.

Advantages – The course introduces AI and its practical use cases for business applications, helping participants transform organisations into a future-forward business.

Key lecturers:

  • Thomas Malone (Professor of Management – MIT Sloan School of Management)
  • Daniela Rus (Director – MIT Computer Science and Artificial Intelligence Laboratory (CSAIL))

Level: Intermediate

Cost: £2,600

Duration: 6–8 hours per week over 6 weeks

Study Structure/Method: fully online, check for the next enrolment date

4. The University of Texas at Austin: AI & Machine Learning in the Financial Industry

Summary: Having a good grasp of machine learning is becoming a necessary skill in the labor market. This course provides an overview of machine learning applications in finance. After you complete this course, you will be able to have a detailed understanding of what machine learning is, and how it is applied in the financial sector.

Advantages – The course is structured into three main modules and shows how large financial institutions and fintech startups use machine learning to improve their financial products.

Key lecturers:

  • Cesare Fracassi (Associate Professor of Finance – University of Texas at Austin)

Level: Intermediate

Cost: £646

Duration: 5–6 hours per week over 4 weeks

Study Structure/Method: fully online, check for the next enrolment date

5 . The Wharton School of the University of Pennsylvania: AI applications in Marketing and Finance

Summary: AI-powered applications can enhance the customer journey and extend the customer lifecycle. Students will learn how this AI-powered data can enable you to analyze consumer habits and maximize their potential to target your marketing to the right people; fraud, credit risks, and how AI applications can combat the ever-challenging landscape of protecting consumer data.

Advantages – The course teaches how to set KPIs to measure performance of your brand new AI strategy and select metrics to gauge and tweak performance.

Key lecturers

  • Michael R. Roberts (Professor of Finance – The Wharton School of the University of Pennsylvania)
  • Kartik Hosanagar (Professor – The Wharton School of the University of Pennsylvania)
  • Raghu Iyengar (Professor – Wharton School and faculty director of Innovation)

Level: Beginner/Intermediate

Cost: $99

Duration: 2 hours per week over 4 months

Study Structure/Method: self-paced online learning

6. Quant University: Machine Learning and AI for Financial Professionals

Summary: This course aims to bring clarity on how AI and machine learning are revolutionizing financial services. Get an introduction of the key concepts and, through examples and case studies, understand the role of machine learning, data science techniques, and AI in the investment industry.

Advantages – The course provides knowledge of Machine Learning and AI techniques and practical case studies of AI in finance with fully functional code.

Key lecturers

  • Sri Krishnamurthy (Founder – Quant University)

Level: Mid to senior level professionals

Cost: $581

Duration: 13-14 hours

Study Structure/Method: self-paced online learning

7. Udacity – AI for Trading 

Summary: The course provides complete real-world projects designed by industry experts, covering topics from asset management to trading signal generation. It also teaches on AI algorithms for trading to build a career-ready portfolio.

Advantages – The course deep dives into different financial knowledge in trading and discuss the AI algorithms for trading with use cases.

Key lecturers

  • Parnian Barekatain (Self-taught AI programmer and Researcher)
  • Elizabeth Otto Hamel (PhD in Applied Physics from Stanford University)

Level: Beginner/Intermediate

Cost: £659

Duration: 4 months

Study Structure/Method: self-paced online learning

8. Harvard Professional Certificate in Computer Science for Artificial Intelligence 

Summary: This certificate takes a deep dive into the concepts and algorithms at the foundation of modern artificial intelligence. This series will lead you through the common programming languages, then carries that foundation through CS50’s Introduction to Artificial Intelligence with Python.

Advantages – The course focuses on theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence to teach participants on how to design intelligent systems of their own.

Key lecturers

  • Doug Lloyd (Senior Preceptor in Computer Science – Harvard University)
  • David J. Malan Gordon McKay (Professor of the Practice of Computer Science – Harvard University)
  • Brian Yu (Senior Preceptor in Computer Science – Harvard University)

Level: Intermediate

Cost: $466

Duration: 5 months

Study Structure/Method: self-paced online learning

9. Oxford Artificial Intelligence Programme

Summary: The programme aims to provide with a sound understanding of AI: its history, functionality, capabilities, and limitations. On completion, particpants develop an informed opinion about the possibilities AI holds, and be able to reflect on its ethical implications and potential applications in your organisation.

Advantages – The programme provides participants with diverse insights and perspectives on the ethical, legal, and social considerations around AI so that they are equipped to critically appraise AI technologies.

Key lecturers

  • Matthias Holweg (Professor of Operations Management – Saïd Business School, University of Oxford)

Level: Beginner/Intermediate

Cost: £2,200

Duration: 6 weeks

Study Structure/Method: self-paced online learning

10. Artificial Intelligence: Business Strategies and Applications by Berkeley

Summary: This program helps introduce the basic applications of AI to those in business. While participants learn about AI’s current capabilities and potential, they also gain deeper knowledge about the reach of automation, machine learning, and robotics..

Advantages – This program helps introduce the basic applications of AI to those in business. While participants learn about AI’s current capabilities and potential, they also gain deeper knowledge about the reach of automation, machine learning, and robotics.

Key lecturers

  • Sameer B. Srivastava (Professor and Harold Furst Chair – Management Philosophy and Values)
  • Thomas Lee (Associate Adjunct Professor – Research Scientist)
  • Zsolt Katona (Assistant Professor of Marketing at Berkeley)

Level: Intermediate

Cost: $ 2492

Duration: 2 months

Study Structure/Method: self-paced online learning

Which AI course should I choose?

What AI course is best for you really depends on your final goal and what angle of AI you are interested in. Practice-based courses like the ones offered by Generative AI 360 and AI in Finance by CFTE allow to gain a clear understanding between the AI technologies, tools, and how those can be used in every day business processes.

Our list shows that AI is a wide subject – and some of the courses provide a narrow approach to learning. For example, courses by Harvard and Udacity would be greatly beneficial for those looking to optimise their trading success, or bring AI into their code.

On the flip side, if you want a general introduction to AI, then the CFTE Generative AI 360 or Oxford Artificial Intelligence Program would be great options.

In any case, the impact of AI on modern skills is undeniable, learning is essential, so you are on the right track!


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Frequently Asked Questions

The Centre for Finance, Technology & Entrepreneurship (CFTE) is a global education platform that aims to equip financial professionals and organisations with the necessary skills to remain competitive in a rapidly changing industry. Our leading training programmes, curated by global industry experts, help talent build skills to join the digital revolution in finance. CFTE’s courses are globally recognised with accreditations from ACT, IBF, CPD, SkillsFuture and ABS.

At CFTE, our mission resonates with every learner’s goals to rapidly advance in their career, to thrive in their next project or even to lead the disruption in finance with their own venture. To help you do this, CFTE gives you the tools you need to master the right skills in digital finance. We bring exclusive insights from leaders that are steering the developments in the financial sphere from global CEOs to disruptive entrepreneurs. With CFTE you don’t just learn what’s in the books, you live the experience by grasping real-world applications.

If you are looking for rich insights into how the Financial Technology arena is transforming from within, we can help you get the latest knowledge that will stir things up in your career. CFTE offers leading online programmes in digital finance, covering an expanse of topics like – Payments, AI, Open Banking, Platforms, Fintech, Intrapreneurship and more, that will help you conquer the financial technology landscape. With this expertise at your disposal, you will be on track to turbocharge your career.

You will be learning from a curated line-up of industry leaders, experts, and entrepreneurs hailing from Fortune 500 companies and Tech Unicorns, among others. They will each be presenting their knowledge and experience in the field of digital finance. No matter if you are embarking on a new journey or fortifying your role, these lecturers and guest experts will guide you through the perspective of established institutions like – Starling Bank, Wells Fargo, tech giants like – Google, IBM, successful startups such as – Kabbage or Plaid, among many more!