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AUGUST 14TH - AUGUST 20TH
2023 ARTIFICIAL INTELLIGENCE BOOTCAMP
A gathering of the best of the best, taught and mentored by world-class experts! An immersion of world-class learning, best practice knowledge and cutting-edge mentoring.
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ABOUT THE BOOTCAMP
DSN AI Bootcamp 2023
The DSN AI Bootcamp, is 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 galvanise 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 grand finale of the AI Bootcamp 2023 will hold on-site at the Covenant University, Otta, Ogun State, Nigeria, between August 14 and August 20, 2023 and will accept professionals, researchers, students and developers.
TIMELINES
Road to the Bootcamp
PHASES
Roadmap
PHASE 1
AI Invasion
The Free AI classes in every city is a DSN intervention aimed at building a sustainable value-oriented ecosystem.
PHASE 2
Pre-bootcamp
The Pre-Bootcamp Study Program is an intensive program geared towards preparing participants for the AI Bootcamp.
PHASE 3
Bootcamp AI
500 best candidates will be selected to attend the AI bootcamp. After a qualification hackathon and a validation/assessment Quiz.
PHASE 1
AI Invasion
Free AI Classes In Every City
It’s a new year of career shift and DSN, is excited to introduce to you the 2023 edition of Free AI classes in every city. The Free AI classes in every city is a DSN intervention aimed at building a sustainable value-oriented ecosystem where each participant has a clear sense of mutually beneficial obligation to learn, impact and tutor upcoming generations of Data Scientists. We are pleased to inform you that this year’s edition will be happening in your city or a city near you.
This event would run from March 20th – April 15th 2023. Cohort schedule:
1st cohort: March 20th – 24th
2nd cohort: March 27th – 31st
3rd cohort: April 3rd – April 7th
4th cohort: April 10th – April 14th
5th cohort: March 20th – April 15th (Saturdays only)
AI+ Membership
It is imperative for you to sustain your learning even after the program. This gives you the opportunity to have an AI+ Membership ID and be integrated into the DSN AI community, a vast learning community with over 200,000 members who are actively learning. Kindly click ici to get your AI+ Membership ID
BENEFITS
What is in it for you?
Full python programming and machine learning immersion
Access to well-grounded tutors at no cost to participants
World-class learning content and DSN AI+ Community Tutors
Badge of Completion for succesful hackathon participants
Access to Africa’s largest growing AI learning community
Access to the AI Knowledge Box containing learning resources
REGISTRATION
AI in Every City
Begin your journey to the AI Bootcamp with our free introductory AI classes in every city and start your data science career with our strictly focused beginner’s immersion into Python programming and machine learning. Join any AI In Every city introductory class to Artificial Intelligence , happening in over 150 cities in 36 states of Nigeria and in 13 African countries.
Register for AI in Every City as a Learner
PHASE 2
50 Days Pre-Bootcamp Program
The Pre-Bootcamp Study Program is an intensive program geared towards preparing participants for the AI Bootcamp.
- Live Classes facilitated by experts from top AI companies, i.e. Nvidia, Google, Microsoft, BigML etc.
- Access to open sourced and curated content from a top global institutions.
- Tailored learning assessment to build capacity and personal project portfolio.
- Learning support & collaboration coordinated on Slack, Telegram, Google Meet and via direct email
PHASE 2
Pre-Bootcamp Content Structure
1.
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 outcomes for the machine learning track.
- Intuitive and basic math understanding of Machine Learning
- Understand and build simple linear regression algorithm from scratch
- Understand and build simple clustering algorithms from scratch (Kmeans and K Nearest Neighbors)
- Understand and build Support Vector Machine algorithm from scratch
- Build supervised and unsupervised Machine Learning Algorithms using standard libraries like Scikit Learn
- Apply Machine Learning to real world problems
- Intuitive and basic math understanding of Deep Neural Networks
- Build Deep Neural Networks for with TensorFlow
- Intuitively understand and build Natural Language Processing Models
- Understand, build and implement Convolutional and Recurrent Neural Networks
2.
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 outcomes for the machine learning track.
- Intuitive and basic math understanding of Machine Learning
- Understand and build simple linear regression algorithm from scratch
- Understand and build simple clustering algorithms from scratch (Kmeans and K Nearest Neighbors)
- Understand and build Support Vector Machine algorithm from scratch
- Build supervised and unsupervised Machine Learning Algorithms using standard libraries like Scikit Learn
- Apply Machine Learning to real world problems
- Intuitive and basic math understanding of Deep Neural Networks
- Build Deep Neural Networks for with TensorFlow
- Intuitively understand and build Natural Language Processing Models
- Understand, build and implement Convolutional and Recurrent Neural Networks
3.
Specialized Track
The following is an outline of the learning outcomes for the Specialized track:
- Practical Understanding of Data Visualization with PowerBI
- Practical Understanding of Data Visualization with Tableau
- Practical Understanding of SQL
- Practical Understanding of R Programming
- Practical understanding of Geospatial Analytics
- Practical Understanding of Microsoft Excel
- Practical Understanding of Mechanism Design
The following is an outline of the learning outcomes for the machine learning track.
- Intuitive and basic math understanding of Machine Learning
- Understand and build simple linear regression algorithm from scratch
- Understand and build simple clustering algorithms from scratch (Kmeans and K Nearest Neighbors)
- Understand and build Support Vector Machine algorithm from scratch
- Build supervised and unsupervised Machine Learning Algorithms using standard libraries like Scikit Learn
- Apply Machine Learning to real world problems
- Intuitive and basic math understanding of Deep Neural Networks
- Build Deep Neural Networks for with TensorFlow
- Intuitively understand and build Natural Language Processing Models
- Understand, build and implement Convolutional and Recurrent Neural Networks
PHASE 3
AI Bootcamp Qualification Hackathons Program and Participation
Registration and details coming soon
Quick Links
Contact
- +234 814 000 0853
- info@datasciencenigeria.org
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