2021 Artificial Intelligence Bootcamp

6 Tracks | 40 Speakers | 400 Finalists

Overview

The Data Science Nigeria Artificial Intelligence (AI) bootcamp, an all-expenses-paid learning bootcamp that builds Africa’s capacity in the use of advanced machine learning and deep learning concepts and drives the application of AI for socio-economic development.  

The bootcamp is driven by a broader strategic intent to accelerate Africa’s development through the solution-oriented application of machine learning to solve social and business problems, and to galvanize a data science knowledge revolution improving employability, technological innovations and sustainable socio-economic development. This reinforces the DSN’s vision to train one million talents in the next ten years through world-class knowledge and best practices applications.

The 2021 AI Bootcamp

It is here again!

The Data Science Nigeria AI Bootcamp – a gathering of the best of the best, taught and mentored by world-class experts! You cannot afford to miss this immersion of world-class learning, best practice knowledge and cutting-edge mentoring.

The AI Bootcamp 2021 will hold VIRTUALLY between October 25 and November 2, 2021 and will accept Professional, Researchers and 400 best candidates after an intensive 50-day learning, Hackathon and a Validation/Assessment Quiz.

Timeline

The roadmap to the 2021 AI Bootcamp

50 Days Pre-Bootcamp Program

The Pre-Bootcamp Study Program is an intensive program geared towards preparing participants for the AI Bootcamp. 

Learning Contents are open-source expert contents hosted on YouTube.

Learning Assessments hosted on Google Classroom.

Learning Support & Collaboration coordinated on Slack.

Pre-Bootcamp Content Structure

Machine Learning Track

This stream covers topics and concepts in:

  • Python Programming for Machine Learning.
  • SciKit-Learn for Machine Learning
  • Machine Learning Theories and Applications

The following is an outline of the learning outcome for the machine learning track.

  1. Intuitive and basic math understanding of Machine Learning
  2. Understand and build simple linear regression algorithm from scratch
  3. Understand and build simple clustering algorithms from scratch (Kmeans and K Nearest Neighbors)
  4. Understand and build Support Vector Machine algorithm from scratch
  5. Build supervised and unsupervised Machine Learning Algorithms using standard libraries like Scikit Learn
  6. Apply Machine Learning to real world problems
  7. Intuitive and basic math understanding of Deep Neural Networks
  8. Build Deep Neural Networks for with TensorFlow
  9. Intuitively understand and build Natural Language Processing Models
  10. Understand, build and implement Convolutional and Recurrent Neural Networks

Deep Learning Track

This stream covers topics and concepts in:

  • Deep Learning Theories.
  • Computer Vision
  • Natural Language Processing
  • Reinforcement Learning

The following is an outline of the learning outcome for the deep learning track:

  1. Intuitively build a neural network.
  2. Overcome overfitting and underfitting in their network via the use of regularization techniques.
  3. Understand the importance of the data pipeline for both language modelling and computer vision.
  4. Understand the concept of the key, value and query in a transformer model.
  5. Understand the importance of embedding layers for sequence decoding and encoding.
  6. Understand the limitations of recurrent networks and how LSTM was used to solve some of its limitations.
  7. Fully optimize their model for optimal production.
  8. Enlightened on the importance of mathematical principle guiding all forms of neural networks.
  9. Intuitively determine the type of model that best solves a problem.
  10. Build a full data and model pipeline for any problem relating to vision and sequences.

Specialized Track

This stream covers topics and concepts in:

  • Data Visualization with PowerBi.
  • Data Visualization with Tableau.
  • SQL
  • R-Programming
  • Geospatial Analytics
  • Microsoft Excel
  • Mechanism Design

The following is an outline of the learning outcome for the Specialized track:

  1. Practical Understanding of Data Visualization with PowerBi
  2. Practical Understanding of Data Visualization with Tableau
  3. Practical Understanding of SQL
  4. Practical Understanding of R Programming
  5. Practical understanding of Geospatial Analytics
  6. Practical Understanding of Microsoft Excel
  7. Practical Understanding of Mechanism Design

Call for Posters

Important Dates

Submission Deadline: 20 October 2021
Acceptance Notification: 23 October 2020

Scope and Topic

Data Science Nigeria’s AI Boot camp is the biggest AI Bootcamp in Africa focused on world-class Artificial Intelligence knowledge, research and innovation and these are the characteristics we seek in submitted posters.
This year we seek authors to submit posters on research, products, projects and concepts solving local problems with Artificial Intelligence and Data Science.

Guidelines

Posters submitted must be:
  1. Original- worked on 100% by the author(s)
  2. Focused on the application of Artificial Intelligence to solving exact local and global challenges.
  3. Research, working products (robotics, IoT e.t.c.), projects, solutions/insights, concepts or a use case.
  4. In standard LANDSCAPE poster layouts and be in PDF format. See layout info here
  5. Multiple authors can co-author a poster
Note: You must submit a video, not longer than 4 minutes. where you [or co-author] presents the poster. This video will aid the acceptance of your poster and be played during the Bootcamp poster session. This video should contain a short demo, if required.

Scoring

60% – Judges
40% – LIVE voting during Poster Session

Application

The AI Bootcamp Schedule

The AI Bootcamp will have sessions for the following groups:

Professionals

Dedicated sessions for Industry Professionals. This will feature- Use Cases, Amazing Demos, learn a skill (Skills area relevant to the industry), Meet a Mentor and Networking. This session will be OPEN TO ALL.

Ladies in AI

Dedicated sessions for Ladies. This will feature- Ethics of AI, Women Issues, Algorithmic Bias and Networking. This session will be OPEN TO ALL.

Researchers

Dedicated sessions for Researchers. This will feature- Research Ethics, Tutorials on World class paper writing, Poster presentation, Paper reviews and Research Collaborations. This session will be OPEN TO ALL.

Bootcamp Finalists

The 400 Finalists will have series of intensive learning sessions. The plenary and break-out sessions of the 2021 AI Bootcamp will focus on Academic Researchers, Industry Professionals and Beginners-to-Intermediate students.

The Bootcamp timetable will be released on October 20th, 2021

The AI Bootcamp Schedule

The AI Bootcamp will have sessions for the following groups:

Professionals

Dedicated sessions for Industry Professionals. This will feature- Use Cases, Amazing Demos, learn a skill (Skills area relevant to the industry), Meet a Mentor and Networking. This session will be OPEN TO ALL.

Ladies in AI

Dedicated sessions for Ladies. This will feature- Ethics of AI, Women Issues, Algorithmic Bias and Networking. This session will be OPEN TO ALL.

Researchers

Dedicated sessions for Researchers. This will feature- Research Ethics, Tutorials on World class paper writing, Poster presentation, Paper reviews and Research Collaborations. This session will be OPEN TO ALL.

Bootcamp Finalists

The 400 Finalists will have series of intensive learning sessions. The plenary and break-out sessions of the 2021 AI Bootcamp will focus on Academic Researchers, Industry Professionals and Beginners-to-Intermediate students.

Monday 25th October 2021 – Professionals Stream

TimeSession 1Session 2
10:00 - 11:30am Opening Event
Welcome Address: Bayo Adekanmbi, Convener Data Science Nigeria
Welcome Keynote: Dr Uyi Stewart, Chairman, Data Science Nigeria
Opening Event
AI Bootcamp Onboarding: Data Science Nigeria
11:30 – 12:30pm Break
12:30 – 2:00pm Data Science for Human Resource/People Analytics
Dr Raphael Yemitan, PWC
2:00 – 2:30pm Break
2:30 - 4:00pm Data warehouse 101
Damilola Ojo,
Delta Partners, Dubai
Customer Lifecycle Management through Data Analytics
Anthony Obi, MTN Nigeria
4:00 – 4:30pm Break
4:30 - 6:00pm Big picture Session: Big Picture Session: AI for Social and Business Growth in Africa
Prof. Ndubuisi Ekekwe, Lead Faculty, Tekedia Institute

Tuesday 26th October – Ladies in AI Stream

TimeSession
10:00 am - 12:00 pm
12:00 – 1:00 pm Break
1:00 – 3:00 pm
3:00 – 4:00 pm Break
4:00 - 6:00pm Identifying and Maximizing Opportunities for Ladies in AI
Keynote: Dr Natalie R.,
Founder of Robots Can Think

Panelists
Diane Igoche,
Associate Professor of Data Analytics, Robert Morris University United States

Dr Natalie R,
Founder of Robots Can Think

Aishatu Gwadabe,
Peace Technologist

Afolabi Ibukun
Department of Computer & Information Sciences,
Convenant University

Wednesday 27th October – Researchers Stream

TimeSession
10:00 am - 1:00 pm Poster Session
Top 15
1:00 – 1:30 pm Break
1:30 – 2:30 pm Breakout Session
Networking Session with Poster Presenters
2:30 – 3:00 pm Break
3:00 - 5:00pm

Thursday 28th October – Bootcamp Finalist

TimeMachine LearningDeep LearningReinforcement Learning/ Mechanism DesignSpecialized Skills
9:00 - 10:00 am AI Bootcamp Onboarding for Finalists
Data Science Nigeria
10:00 – 10:30 am Break
10:30 – 12:30 pm Machine Learning with Microsoft Azure
Dr. Nnanna Orieke, Microsoft
Mathematics for Artificial Intelligence
Samuel Edet,
World Bank Group
Mechanism Design
Dr. Eric Sodomka,
Facebook
2:00 – 2:30 pm Break
2:30 - 4:30pm Understanding Machine Learning Algorithms
Kris Sankaran,
University of Wisconsin-Madison
Computational Game Theory
Prof. Hau Chan,
University of Nebraska-Lincoln
4:30 – 5:00 pm Break
5:00 – 6:30 pm Big Picture Session: What's now and next for Artificial Intelligence & Intelligent Automation

AI Bootcamp Awards & Opportunities

  • Internships from top companies
  • Scholarships
  • Mr. & Miss Algorithm for Community value Award
  • Best Poster Award
  • AI School of the Year Award
  • Industry Recognition Award

Frequently Asked Questions

The pre-study program is open to everyone.

This class is entirely for newbies, intermediates, and experts who want to cover topics in Machine Learning, Deep Learning and Specialized skills.

By registering, you will get access to all the learning contents, daily assessments and support.

Participation in the Pre-Study program is not an automatic ticket to the 2021 AI Bootcamp but will prepare you to have foundational skills in all the topics that will be discussed at the Bootcamp.

You will be required to participate in the Qualification Hackathon and Validation/Assessment quiz to qualify for the Bootcamp.

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