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OpenAI's Generative AI for Everyone: From Novice to Pro

Generative AI has revolutionized how we think about creativity and design. This course offers a comprehensive introduction to generative models, primarily focusing on neural networks. Students will gain an understanding of the theory behind generative models and learn to build their own from scratch.

We will explore the foundation of Generative AI, understand their architecture, and discuss various applications. From creating artwork to designing models for data augmentation, generative AI has vast potential. By the end of this course, students will be able to conceptualise, create, and refine their own generative models using OpenAI.

Extra information

Ensure you have a stable internet connection, a working microphone, and the latest version of Python installed on your computer.

Location

Online via webcam
At teacher's location: Swindon Lane, Cheltenham, UK

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General info

Age:
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level:
Intermediate
Advanced
Duration:
120 minutes
The class is taught in:English

About Me

AI R&D Engineer • Product Manager • Expert-Vetted, MBCS, MIEEE

A data-driven professional with a consistent track record of leveraging AI and a broad spectrum of technical expertise to design and develop innovative products and proof of concepts. My data-driven approach has propelled me to achieve significant milestones in both educational and professional domains.

Research Interests:
Data Analysis (Qualitative & Quantitative)
Generative AI & LLMs
Healthcare AI & Bioinformatics
Psychology & Economics
Space Exploration

Education

MSc Data Science, University of Gloucestershire
- United Kingdom • Sept 2022 - Present
- Dissertation (on-going): Application of LLMs for creating, evaluating and improving language prompts
- Python (70), Data Analysis & Visualisation (80), Applied Business Data Analytics (66), ML (65)


BSc Computer Science, Bahria University
- Pakistan • Sept 2017 - Aug 2021
- CGPA: 3.94/4.0
- Summa Cum Laude Honors
- Governmental Funding for Final year project – Smart Invigilator
- Rector’s Honour, Merit Scholarship

Experience / Qualifications

Oxford Summer Courses – Sessional Lecturer
May 2023 - Present

Teach computer science courses to 13-15 year old students.
Developed innovative and competitive course outlines tailored to students' needs.
Designed academic content and simplified complex concepts for effective communication.
Provided personalized written reports for each student.

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University of Gloucestershire – Research Assistant
Jan 2023 - Present

Engaged in a National Student Survey funded project analyzing student reviews.
Conducted research and developed psychology-based methods to understand students' emotional state.
Created analysis strategies and applied thematic analytics to extract insights.
Utilized LLMs for research and model training.
Converting research findings into proof of concept (PoC) solutions for stakeholders.

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Subconscious.ai – Lead AI Researcher & Software Engineer
Oct 2022 - May 2023

Researched and implemented a first-of-its-kind solution for creating bioequivalent human respondents.
Developed MLOps pipelines and optimized algorithms using Wandb.
Replicated over 200 papers in various domains using synthetic agents for algorithmic fidelity.

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Bramework – AI Researcher & Engineer, Product Consultant
April 2022 - April 2023

Researched and developed AI models for content creation using LLMs.
Provided consultancy on product features and user experience enhancement.
Developed AI models for generating blog drafts, paraphrasing, and improving grammatical accuracy.

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Pro Business Plans – Product Consultation & Advisory
Nov 2022 - May 2023

Consulted on the development of 'ProAI' product, simplifying entrepreneurial endeavors using LLMs.
Advised on applying LLMs to the medical billing and coding industry while ensuring compliance with HIPAA privacy laws.

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Expert Vetted, Upwork – Generative AI Specialist, Product Consultant
Nov 2021 - Present

Expert Vetted LLM/GPT3 expert and product consultant
Develop AI/NLP models and utilize an array of tech skills
Specialize in launching and scaling products or ideas
Provides consultation for product wireframes and infrastructures

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Punch.cool – Product Manager, AI Researcher, Lead Software Engineer
Aug 2021 - July 2022

Managing and leading the internal products development process at Punch, ensuring timely and successful delivery of products – 15 individuals management
Managing and leading client projects, overseeing project timelines, resources, and deliverables

Awards for Innovation:
Rockstar of the Month & Employee of the Year

Became Python Developer to Product Manager in 6 Months

Internal Products:
Autonomous Sales System - Developed AI-based system for lead generation, conversion, and sales optimization.
Numin - Researched and created AI algorithms for quantitative and algorithmic trading.
Pantrei - Developed AI solutions for process automation, including SEO content creation and product optimization.
Xouno - Led research on AI sales agents integrating with user mailboxes for sales opportunity management.
Zwilt - Built AI recruiter agents for efficient candidate matching on the Zwilt Platform.
Recrowdly - Managed AI models for generating personalized animated sales pitches via cold-emails.
Yodsi - Led R&D of AI models for discovering domain names based on business characteristics.

Client Projects:
RedCloud - Analyzed marketing efforts, integrated statistical data, and provided comprehensive insights.
Greenlight - Researched and developed AI models for bulk SEO-optimized content generation.
AEO - Enhanced data warehouse structure and transformed statistics into valuable insights as a data scientist.
Combine VB - Trained complex categorical models using Large Language Models (LLMs) for 400 categories.

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KryptoHive – Software Engineer
July 2020 - July 2021

Developed, debugged and maintained React Native mobile apps.
Completed discrete tasks related to React JS web applications.
Managed app store submissions and resolved challenges on Apple Developer Account.

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Freelancer.com – Freelance Software Engineer
Jan 2019 - Jun 2021

Scripting languages: C, C++, and Python.
Developed small web applications using HTML, CSS, JS, PHP.
Created mobile applications for iOS and Android phones and tablets.

Ask a question

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Ex. "Hi, when are you available to meet for a lesson?"

Availability of a typical week

(GMT -05:00) New York
MonTueWedThuFriSatSun
0              
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2  Monday at 2:00  Tuesday at 2:00  Wednesday at 2:00  Thursday at 2:00  Friday at 2:00  Saturday at 2:00  Sunday at 2:00
3  Monday at 3:00  Tuesday at 3:00  Wednesday at 3:00  Thursday at 3:00  Friday at 3:00  Saturday at 3:00  Sunday at 3:00
4  Monday at 4:00  Tuesday at 4:00  Wednesday at 4:00  Thursday at 4:00  Friday at 4:00  Saturday at 4:00  Sunday at 4:00
5  Monday at 5:00  Tuesday at 5:00  Wednesday at 5:00  Thursday at 5:00  Friday at 5:00  Saturday at 5:00  Sunday at 5:00
6  Monday at 6:00  Tuesday at 6:00  Wednesday at 6:00  Thursday at 6:00  Friday at 6:00  Saturday at 6:00  Sunday at 6:00
7  Monday at 7:00  Tuesday at 7:00  Wednesday at 7:00  Thursday at 7:00  Friday at 7:00  Saturday at 7:00  Sunday at 7:00
8  Monday at 8:00  Tuesday at 8:00  Wednesday at 8:00  Thursday at 8:00  Friday at 8:00  Saturday at 8:00  Sunday at 8:00
9  Monday at 9:00  Tuesday at 9:00  Wednesday at 9:00  Thursday at 9:00  Friday at 9:00  Saturday at 9:00  Sunday at 9:00
10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  Sunday at 10:00
11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  Sunday at 11:00
12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
16  Monday at 16:00  Tuesday at 16:00  Wednesday at 16:00  Thursday at 16:00  Friday at 16:00  Saturday at 16:00  Sunday at 16:00
17  Monday at 17:00  Tuesday at 17:00  Wednesday at 17:00  Thursday at 17:00  Friday at 17:00  Saturday at 17:00  Sunday at 17:00
18  Monday at 18:00  Tuesday at 18:00  Wednesday at 18:00  Thursday at 18:00  Friday at 18:00  Saturday at 18:00  Sunday at 18:00
19              
20              
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from £285At teacher's location
from £285Online via webcam

Good-fit Instructor Guarantee


If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

Online reputation

  • Instructor since August 2023
  • Phone number verified
  • Linkedin connected

Availability of a typical week

(GMT -05:00) New York
MonTueWedThuFriSatSun
0              
1              
2  Monday at 2:00  Tuesday at 2:00  Wednesday at 2:00  Thursday at 2:00  Friday at 2:00  Saturday at 2:00  Sunday at 2:00
3  Monday at 3:00  Tuesday at 3:00  Wednesday at 3:00  Thursday at 3:00  Friday at 3:00  Saturday at 3:00  Sunday at 3:00
4  Monday at 4:00  Tuesday at 4:00  Wednesday at 4:00  Thursday at 4:00  Friday at 4:00  Saturday at 4:00  Sunday at 4:00
5  Monday at 5:00  Tuesday at 5:00  Wednesday at 5:00  Thursday at 5:00  Friday at 5:00  Saturday at 5:00  Sunday at 5:00
6  Monday at 6:00  Tuesday at 6:00  Wednesday at 6:00  Thursday at 6:00  Friday at 6:00  Saturday at 6:00  Sunday at 6:00
7  Monday at 7:00  Tuesday at 7:00  Wednesday at 7:00  Thursday at 7:00  Friday at 7:00  Saturday at 7:00  Sunday at 7:00
8  Monday at 8:00  Tuesday at 8:00  Wednesday at 8:00  Thursday at 8:00  Friday at 8:00  Saturday at 8:00  Sunday at 8:00
9  Monday at 9:00  Tuesday at 9:00  Wednesday at 9:00  Thursday at 9:00  Friday at 9:00  Saturday at 9:00  Sunday at 9:00
10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  Sunday at 10:00
11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  Sunday at 11:00
12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
16  Monday at 16:00  Tuesday at 16:00  Wednesday at 16:00  Thursday at 16:00  Friday at 16:00  Saturday at 16:00  Sunday at 16:00
17  Monday at 17:00  Tuesday at 17:00  Wednesday at 17:00  Thursday at 17:00  Friday at 17:00  Saturday at 17:00  Sunday at 17:00
18  Monday at 18:00  Tuesday at 18:00  Wednesday at 18:00  Thursday at 18:00  Friday at 18:00  Saturday at 18:00  Sunday at 18:00
19              
20              
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from £285At teacher's location
from £285Online via webcam

Good-fit Instructor Guarantee


If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

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