Advanced Solutions Technical Institute - Smart Ai Curriculum (ASTIS) Via https://www.astitnt.com
This diploma includes 1 on 1 sessions or sessions with small groups, outside of main classes, for addressing student uncertainties.
Practical Ai Diploma with core focus on neural networks as universal problem solvers.
It is quite empowering to store these ~1000 lines of fundamental neural network code in one's memory (an approximation of our own biological brains), and it will be almost addictive to repeat daily, but distancing the instances one practices this cycle (for every 6 to 8 months) reasonably helps to cement understanding of what is being memorized.
As underlined in prior Live Neural network sessions by Lead UAD Lecturer Bennett, artificial neural networks can represent a wide variety of utilities/functions as seen in Universal Approximation Theorem, and since neural networks power most cognitive/smart apps today, ranging from Tesla's self-driving cars, to Facebook's auto face tagging Ai, ASTIS targets this core field. Learning neural networks which are general models, gives rise to intuition needed to venture elsewhere if necessary.
Beyond practical Machine Learning Library application, as well as a unique introduction to Artificial General Intelligence, this Diploma also uniquely entails as prescribed by UAD Lecturer God Bennett, a cyclical fundamental artificial neural network writing session, occurring at the end of each week, designed to hammer this concept/tool in the mind of the candidate.
i. See Pre-requisites.
ii. Student registration with ASTIS.
iii. Live Ai Watch Party: Robert Downey Jr/ AGE of Artificial Intelligence
iv. Begin Diploma or Certificate!
There are thousands of Ai links online, and this course condenses both ASTI lecturer's work as well as powerful models by large corporations like tensorflow into consumable pathways.
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Related to the core components; with ASTI's emphasis and main focus on Neural Networks, (universal problem solvers)... it is ASTI lecturer's duty to always provide direct feedback and guidance throughout the lecturer's own academic software work/teachings, as well the models of the large corporations like tensorflow.
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Separate/outside of the Syllabus-Exam rubric & Diploma, UAD lecturer Bennett introduces Human Level Ai/Artificial General Intelligence.
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Related to the aforesaid bonus component, unlike typical Ai/Ml programs, it is thus ASTI lecturer's duty to softly introduce candidates into the world of Artificial General Intelligence (AGI...which is currently separate from the world of tensorflow/specialized Ai etc, and often referred to as man's last invention by Dr Ben Goertzel, and several other AGI pioneers).
Course Pathways: https://github.com/g0dEngineer/ASTIS#rapidoptimal-6-week-curriculum
Figure (made by Bennett in Context Free Art): Single, apparently cluttered learning pathway normally found in typical ai software programs.
Most known software ai programs tend to aim to encapsulate too many types of learning students into single pathways, and as a result, said programs reasonably tend to be 3+ months long.
Figure (made by Bennett in Context Free Art): Multi-pathway learning lines, tailored to candidates of different starting points of knowledge.
ASTI does multiple paths (in the divide and conquer regime), instead of trying to fit many things along a single path. We therein reduce time to approximately 6 weeks. Time is also reduced due to our focus on broad neural networks as universal problem solvers.
- Start as a typical computer user with or without programming skills, and end as an Artificial Intelligence product creator and profit from Ai's predicted 15 Trillion dollar 2030 market cap, or a more recent prediction of 80 trillion by 2030 according to ark invest (likely as the most important sector)!
- With 800 million jobs to be automated away by 2030, and Artificial Intelligence market cap at 15 trillion around the same time, or a more recent prediction of 80 trillion by 2030 according to ark invest (likely as the most important sector)!, become a builder of Ai solutions, and capture your chunk of the exponentially growing Ai market.
- As an ASTIS trained person [who happens to be a farmer], building out an Ai farming application to classify your farm yield, is one of thousands of exciting practical/profitable AI apps, through ASTIS roadmap. (See relevant Ai app by cuccumber farmer).
- As an ASTIS trained person [who happens to be a software dev at a bank], building out an Ai based masked face recognition app, is another one of thousands of exciting practical/profitable AI apps, through ASTIS roadmap. (See relevant Ai app by creator of ASTIS)
- As an ASTIS trained person [who happens to be a nurse or doctor...], building out an Ai based covid19 diagnosis, is another one of thousands of exciting practical/profitable AI apps, through ASTIS roadmap. (See relevant Ai app by creator of ASTIS)
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Bonus - Explore an Introduction to Artificial General Intelligence, seen as humanity's last invention according to Prof Ben Gortzel, etc.
First known practical Neural Network Programming Course with an Introduction to Artificial General Intelligence :)
This originally stemmed from an initiative to develop world’s 1st university, just for Artificial Intelligence. (See local newspaper articles by ASTI Ai Course Author, in 2018 and 2019)
ASTIS Curriculum Main Page
- The world's smartest people are switching careers into Ai research and application/productization!.
- According to PwC Global, Ai will yield a 15 trillion dollar market cap by the year 2030, or a more recent prediction of 80 trillion by 2030 according to ark invest (likely as the most important sector)!. This is around the same time 800 million jobs shall be automated away, according to Bank of America.
- It is thus key to intimately benefit in this automation effort, rather than fail to do so.
- Brain inspired computer code or smart apps, called AGI or artificial general intelligence (predicted to happen by as soon as 2029 or sooner), will perhaps one day be mankind's last invention! For now though, AGI's predecessor, called artificial narrow intelligence, also called artificial intelligence, can do amazing stuff like diagnose diseases better than human doctors, or give game characters the ability to learn to navigate game environments without human aid!
- Crucially, for eg, bodies in non-ai strong countries, like the Jamaican government has recognized that artificial narrow intelligence, a part of machine learning, is a threat to jobs. Notably, here's a list of jobs where robots or smart software are already replacing humans.
- See these recent Ai/GPT-3 based examples, that are already doing things like introductory level automated software engineering, including website/react js/html creation, game creation, machine learning code, all automatically generated using simple english prompts!!!
- See Ai/Gpt-3 longer format auto code demo.
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As the 1st machine learning school established in the Carribean in May, 2021, ASTIS seeks to help more and more Jamaicans to find out what steps they can take to acquire skills needed to stay relevant in a world that's more and more driven by artificial intelligence, that shall replace more and more jobs with physical robots and or smart software.
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As such, ASTIS is an institute that aims to bring more Jamaicans into the modern world of artificial intelligence and programming through fun, tailored lectures. Pertinently, see the "why" tab on the ASTIS website, to find out why high-schoolers, or even busy Masters/PhD/Professor people who are not trained in the machine learning field can participate in modern machine learning!
This curriculum is designed to cater to two main categories of users, including non-programmers and programmers. Those two categories naturally cover persons including those with High school diplomas, Bachelors degrees, Masters degrees, PhDs, and Professorships.
The two main categories above are expressible as 2 types, based on the goals that ASTIS desginates its students to perform.
As such, from here on out, you select one of the types below, and begin your learning process:
By the time you complete either one of ASTIS's curriculum types above, you would be a marketable candidate, qualified to attain remote work with the capability to earn beyond 80,000 USD per year, whether you're a high schooler or professor who was not priorly trained in Deep Learning. Also, you would be in far better position for local work, and better able to prepare for automation of more and more jobs in the globe, and in the country.
- Candidates must have at least passed the GSAT or completed the PEP or something similar. (From Primary to Tertiary Education and beyond, i.e. Additionally, up to PhD/Professor level candidates are welcome too!)
- The requirement above essentially concerns just before high school level all the way up to PhD/Professor people who want to profit from Ai development!
- Candidates must be willing to devote at most 6 to 8+ weeks to ASTIS's curriculum. In other words, candidates must be willing to build himself/herself, by acquiring machine learning skills through ASTIS's 6-8+ week curriculum.
- Candidates need to have access to machine learning computers, or online machine learning compute like free colab instances.
- This course also advises for the use of datasets such as those from kaggle. Ai/Machine learning is normally complete with ingredients:
- Ai Knowledge/Skills (which this course builds in each candidate)
- Ai Compute
- Ai Compatible/Consumable Datasets
As underlined in prior Live Neural network sessions by organizer Bennett, artificial neural networks can represent a wide variety of utilities/functions as seen in Universal Approximation Theorem, and since neural networks power most cognitive/smart apps today, ranging from Tesla's self driving cars, to Facebook's auto face tagging Ai, ASTIS targets this core field. Learning neural networks which are general models, gives rise to intuition needed to venture elsewhere if neccessary.
Why combine artificial neural networks from scratch in with focus in practical machine learning library stack such as tensorflow/pytorch...?
⚫Pertaining to artificial neural networks from scratch in particular, as Microsoft's Joseph Albahari says (in his csharp based neural networks from scratch lecture), machine learning libraries are reasonably a great place to end up, but not necessarily a great place to start!
As noted by Bennett, understanding these broad/fundamental neural network models from scratch without machine learning libraries, builds intuition in applying and debugging machine learning libraries.
📝In addition to the above, this reasonably smart curriculum includes "dynamic pathways" assuming some or no programming knowledge in addition to artificial neural networks from scratch. (The insight (that application of neural networks from scratch is a fundamental tool), of others like Sentdex and Joseph's, requires prior programming knowledge, and pertains to learning Neural Networks' internal structure, while this curriculum accommodates candidates with no programming knowledge etc)
📝This Diploma combines artificial neural networks from scratch, in a beyond Joseph's code based csharp lecture, in an illustrative class diagram based Java paradigm designed for new candidates, (around 1000 lines of code without machine learning libraries), with primarily practical detailed use of python aligned machine learning library enabled projects/via tensorflow for eg, therein helping candidates to gain intuition in the usage of machine learning libraries like tensorflow. University programs tend to confluence both Java and Python, where this Diploma focusses primarily on python.
📝As usual, as underlined in prior Live Neural network sessions by organizer Bennett, artificial neural networks can represent a wide variety of utilities/functions as seen in Universal Approximation Theorem, and since neural networks power most cognitive/smart apps today, ranging from Tesla's self driving cars, to Facebook's auto face tagging Ai, ASTIS targets this core field. Learning neural networks which are general models, gives rise to intuition needed to venture elsewhere if necessary.
https://github.com/g0dEngineer/ASTIS
Dr Ancil Peters is Director of Asti.
Erica Simmons is a Global Tech Strategist, Philanthropist, Entrepreneur and Inventor.
God Quest Bennett is author of "Artificial Neural Networks for Kids" (See either Amazon url or free copy) and inventor of the "Supersymmetric Artificial Neural Network", essentially a new branch of Deep Learning.
ASTIS's course is designed for teens/adults. Albeit, take a look at these intriguing books for babies: Einsteinian books for babies
The most rigorous attempt to create an explanatory framework for Deep Learning (about 500 pages), recently built heavily in Physics: https://deeplearningtheory.com/PDLT.pdf
See also - Short summary: "NOW IT’S OFFICIAL: WE DIDN’T UNDERSTAND HOW NEURAL NETWORKS WORK TILL NOW".
- Key Fundamental Artificial Neural Network Coding (Without bases like this that explore Universal Function Approximators like Neural Networks, it is harder to debug Machine Learning Libraries when something goes wrong!)
- Practical Convolutional Artificial Neural Network application (Seen in real world in Self driving cars, Disease Diagnosis engines etc)
- Practical Recurrent Artificial Neural Network application (Seen in real world in any voice recognition App)
- Practical Generative Adversarial Network application (Seen in real world in synthetic Avatar Apps)
- Practical Reinforcement Learning application (Seen in real world in Electricity Consumption optimization)
- Practical Data Wrangling (Without Data Ai is essentially meaningless)
- Deep Learning/Paper Writing (Exposed in Certificate)
- Ai Product Building (Exposed in Diploma)
- Rapid Ai Product Building Methodology (Exposed in Diploma) (including schedules)
- Artificial General Intelligence Basis (Exposed in both Certificate & Diploma. )
- Separate/outside of the Syllabus-Exam rubric & Diploma, UAD lecturer Bennett uniquely introduces Human Level Ai/Artificial General Intelligence - (predicted by around 2023-2029 or later, by experts to be mankind's last invention).
See Github download.