Be the part of AI+ Training Community

  • Expertise

    Present before a highly motivated and activated audience. Directly engage with a diverse data science community ranging from Ph.D. data scientists to senior engineers, team leads, C-suite executives, and enthusiastic beginners.

  • Network

    Interact with top-level core contributors in data science as well as thought leaders and innovators.

  • Experience

    Receive our rock star speaker treatment, which includes extensive promotion of your course and the content to your target audience.

Diversity & Inclusion

We strive to ensure we have a diverse lineup of speakers that reflects our diverse community; we seek to be inclusive to all. We encourage speakers of all backgrounds to submit. We also have other speaking opportunities such as meetup if you are looking to improve your speaking skills

Talk Sessions Format

Proposals will be considered for the following types of presentations:

  • Live Half Day Hands-On Training (3.5 hours - 4 hours)

  • Live Full Day Hands-On Training (3.5 hours x 2)

  • Live Workshop/Tutorial (1 hour 30 minutes)

  • On-Demand Workshop/Tutorial/Talk/Training (50 minutes - 4 hours)

Submission Guideliness

Here are some helpful guidelines to consider for your proposal:


Your title should grab the interest of attendees and concisely tell attendees what your session is about.


The recommended abstract must be at least 250 words. However, ensure your abstract is succinct and speaks to both the topic and context of your presentation. This abstract will be used on online marketing platforms. The description must also explain what the students will learn from your presentation.

Be advised that the speaker committee reserves the right to reject any talk at any time if the presentation does not match the abstract and stated intent.

Topic Difficulty Level

AI+ training attracts a highly-educated audience of data science practitioners. The topic difficulty level you select must consider the quality of our audience in addition to the complexity of the data science languages and tools you will discuss. 

Beginner: These sessions help students learn the fundamentals of a subject area. 

Intermediate: These sessions help students increase their knowledge of a subject area. 

Advanced: These sessions help students increase their already advanced knowledge of a subject area.

On the submission form, you will be asked to explain why the particular topic difficulty level was selected.

Product and Service Pitches

Product or service pitches are expressly prohibited by AI+ training. When you submit, you are obligated to confirm your proposal is not a sales pitch for proprietary software or an indirect sales channel for a company. If you are looking for an exposure opportunity for your company, we offer other avenues for promotion. Please email us at for more details.


Instructor Bio:

Principal Data Scientist And Executive Advisor, Booz Allen Hamilton

Dr. Kirk Borne

Dr. Kirk Borne is the Principal Data Scientist, Data Science Fellow, and an Executive Advisor at global technology and consulting firm Booz Allen Hamilton. He has worked there since 2015. He provides thought leadership, mentoring, training, and consulting activities in data science, machine learning, and AI across multiple disciplines. Previously, he was Professor of Astrophysics and Computational Science at George Mason University for 12 years in the graduate (Computational Science and Informatics) and undergraduate (Data Science) degree programs. He was a co-creator of the world’s first undergraduate data science degree program in 2006. Prior to that, he spent nearly 20 years supporting data systems activities for NASA space science programs, including a role as NASA's Data Archive Project Scientist for the Hubble Space Telescope and as Contract Program Manager in NASA’s Space Science Data Operations Office. He is co-author of the e-book “10 Signs of Data Science Maturity”, co-author on a new book “Demystifying AI for the Enterprise”, and author of many hundreds of scientific research articles and blogs. Dr. Borne has degrees in physics (B.S., LSU) and astronomy (Ph.D., Caltech). He is an elected Fellow of the International Astrostatistics Association for his contributions to big data research in astronomy. In 2020, he was elected a Fellow of the American Astronomical Society for lifelong contributions to the field of astronomy. As a global speaker, he has given hundreds of invited talks worldwide, including keynote presentations at dozens of data science, AI, and analytics conferences. He is an active contributor on social media, where he promotes data literacy for all and has been named consistently among the top worldwide social influencers in big data, data science, machine learning, and AI since 2013.

Chief Data Scientist, Author of Deep Learning Illustrated | untapt

Dr. Jon Krohn

Jon Krohn is Chief Data Scientist at the machine learning company untapt. He authored the 2019 book Deep Learning Illustrated, an instant #1 bestseller that was translated into six languages. Jon is renowned for his compelling lectures, which he offers in-person at Columbia University, New York University, and the NYC Data Science Academy. Jon holds a Ph.D. in neuroscience from Oxford and has been publishing on machine learning in leading academic journals since 2010; his papers have been cited over a thousand times.

Head of Data Science and Analytics | Badoo

Leonardo De Marchi

Leonardo De Marchi holds a Master in Artificial intelligence and has worked as a Data Scientist in the sport world, with clients such as the New York Knicks and Manchester United, and with large social networks, like Justgiving. He now works as a Head of Data Scientist and Analytics in Badoo, the largest dating site with over 450 million users. He is also the lead instructor at, a company specialized in Reinforcement Learning, Deep Learning and Machine Learning training. He is also a contractor for several companies and for the European Commission, as an expert in AI and Machine Learning. As an author he wrote “Hands-On Deep Learning” and he authored an online training course for O’Reilly, Introduction to Reinforcement Learning. In the academic world, he also helped set-up the Ph.D. center on Interactive Artificial Intelligence and will take part in the Inner Assessment Board to assign funding to Irish research in AI.