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4-Months of Data Science to AI Agents Mentorship Program (DSAAMP)

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About Course

This mentorship program/course will continue for 4 months, covering the  advance use of Python for Data Science and Machine learning, Deep Learning and AI (Generative & Agentic AI) from Intermediate-Advance level (See content below).

To register for the course, please fill in this google form: https://forms.gle/8dHbiu2TGmHTzgYY8

This is an Advance Data Science and AI (Generative and Agentic AI) Mentorship Program (DSAAMP)-Online only-via Learning Management System (LMS)+Zoom Meetings

Program Goals:

The Data Science to AI Agents Mentorship Program aims to:

  1. Master Advanced Data Science – Equip you with cutting-edge data science techniques and best practices.
  2. Develop & Deploy AI Models – Train you in Machine Learning (ML) and Deep Learning (DL) for real-world projects, including deployment.
  3. Build a Strong Portfolio – Guide you in developing impactful data science projects to showcase your skills.
  4. Leverage AI & GenAI for Learning – Teach you how to use Artificial Intelligence (AI) & Generative AI (GenAI) to accelerate your learning and career growth.
  5. Create AI Agents – Enable you to build AI-powered agents using specialized Python libraries and industry tools.
  6. Develop Chatbots & AI Assistants – Help you design and implement intelligent chatbots for various applications.
  7. Fine-Tune Large Language Models (LLMs) – Teach you how to customize LLMs for personal or business use.
  8. Unlock Scholarships & Job Opportunities – Provide guidance on how to use your skills, portfolio, and projects to secure scholarships and jobs.
  9. Stay Ahead in AI Advancements – Keep you updated with the latest developments in AI as the field evolves.
  10. 🚀 And much more! This program will help you stay ahead in the rapidly growing AI landscape.

Note: You will be working in a team (optional but recommended)

Time required: You have to spend 2-4 hours a day to keep up with out pace.

Language: Urdu/Hindi

Limited Seats only

Pre-requisites:

  1. MS Excel Basic to Advance: https://youtu.be/beyqGvGaaxY 
  2. Python programming for Data Science: https://youtu.be/glFfZcxwhtE 

Please watch these additional lectures before the start of DSAAMP (optional but recommended):

  1. MS Excel Basic to Advance (Important)https://youtu.be/beyqGvGaaxY 
  2. Python programming for Data Science (Important): https://youtu.be/glFfZcxwhtE 
  3. Mathematics for Data Science: https://youtu.be/yDzJ4tgaN7A  
  4. Statistics for Data Science: https://youtu.be/9jkFZPI5puo 
  5. Data Gathering: https://youtu.be/WinjDVx2RUk 
  6. Data Pre-processing: https://youtu.be/DjRBGShE8x8 
  7. Exploratory Data Analysis: https://youtu.be/cb6jx33lYTc 
  8. Data Visualization: https://youtu.be/MqppsRq3EJQ 
  9. Git and GitHub Crash Course: https://youtube.com/live/iJAGwErBFrU?feature=share 
  10. Machine Learning Crash Course Part-1: https://youtu.be/hJzhyQeGSt4 
  11. Machine Learning Crash Course Part-2: https://youtu.be/_XWFycw06CM 
  12. Deep Learning Crash Course Part-1: https://youtu.be/67nopa4ovJs 
  13. Deep Learning Crash Course Part-2: https://youtu.be/btkXZNzsG0c 
  14. Time Series Data Analysis and Forecasting: https://youtu.be/SXz_NejwXuI 

Important Notes:

1. Agar ap mehnat nahi karna chahtay tu na register karwaen.

2. Agar ap k pass laptop nahi hy tu na enrol karwaen. Laptop hna must hy mobile per nai seekha ja sakta ye sab.

3. Koi b laptop chalay ga bht heavy lenay ki zaroorat nahi hy.

Methodology:

  1. Lectures will be uploaded on LMS on our website www.codanics.com everyday or every second day for paid students. 
  2. Zoom Meetings/classes will be every Sunday at 14:00 Pakistan Time (During the course) and only available on LMS after 5th August 2025.
  3. We will also conduct Coding nights for A-Z complete projects, via zooms/live session, where we will code for most part of the Friday/Saturday nights-Days not Finalized and the information will be given only to registered participants. 
  4. Zoom meeting will help you to help you resolve your queries (link will be provided only to registered students). If you can not attend the Zoom meeting due to your location/country time, we will provide recordings of each meeting in LMS.
  5. All notes/codes/scripts/application/learning material will be provided to all registered participants.
  6. We will conduct several quizzes during this course, and upon passing all quizzes you will get a certificate at the end of this course.
  7. You will also have access to our books/guides (fee of cost-only if you register)
  8. You will have access to our community for this group via discord, WhatsApp, FaceBook, and telegram where you can ask questions anytime and hundreds of people are there to answer you.

Zoom link and material details will be shared via LMS system only to the enrolled students via WhatsApp msg and/or email address you will mention in this form. (please keep checking your spam/junk folders). 

Content:

The contents we will cover in this course are:

  1. Installations for the course software
  2. conda/mamba/python environments
  3. Git and GitHub Intermediate-Advance
  4. Intermediate to Advance python programing
  5. How to scrap large Datasets from online resources?
  6. Web scraping using Python
  7. Data Cleaning Intermediate to Advance
  8. How to handle and analyze large Data? 
  9. Intermediate-Advance use of Pandas library
  10. Intermediate-Advance use of Numpy library
  11. Intermediate-Advance use of matplotlib library
  12. Intermediate-Advance use of Other python libraries for each task
  13. Help building your portfolio
  14. Kaggle, GitHub, FaceBook, Twitter and LinkedIn to showcase your skillset
  15. Advance-Markdown
  16. Developing your own website/blogs using Jupyter Notebooks inside for your portfolio
  17. AI based portfolio buildup
  18. Github Copilot for Notebooks development
  19. Machine Learning Advance Libraries to Automate ML Tasks
  20. Intermediate-Deep Learning 
  21. Mastering Tensorflow Architecture
  22. Mastering Pytorch Architecture
  23. Automating ML algorithms to application development
  24. Computer vision using advance libraries
  25. AI and Generative AI in python
  26. AI and Agentic AI in python
  27. AI agents for automating tasks
  28. Web application Development and deployment using GenAI
  29. Software Development using GenAI
  30. Time Series Data Analysis and project development using GenAI
  31. Natural Language Processing and GenAI
  32. Basic to Intermediate-Large Language Models (LLMs)
  33. Fine-Tuning LLMs
  34. RAG based application development using GenAI
  35. Mastering LangChain 
  36. Handling GIS data with GeoPandas using GenAI and Agentic AI
  37. Projects Development using GenAI and Agentic AI
  38. How to Market your skills with free projects
  39. Online Earning and Scholarship hunting in this course
  40. Surprises and Hidden Resources and Much more to come…….

This is a paid course, however, first Few lectures will be free so that you can decide if you want to enrol in this course or not. 

Note: If you are looking for the other free courses then please visit the following courses:

1. The whole python ka chilla 2023 for data science (Free) is at this link: https://shorturl.at/vxGZ8

2. Six months AI and Data Science Mentorship program (Free): https://codanics.com/courses/six-months-of-ai-and-data-science-mentorship-program/

Kisi b preshani se bachnay k liay is form ko dobara parhen ya yahan email karen info@codanics.com

For more information, read the form or email us at info@codanics.comhttps://whatsapp.com/channel/0029Va7nRDq3QxRzGqaQvS3r

Best regards,
Dr. Aammar Tufail
PhD Data Science in Agriculture
Founder/CEO of Codanics
Data Scientist/Bioinformatician,
Google/IBM Certified Data Scientist,
Germany.

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What Will You Learn?

  • This mentorship program/course will continue for 4 months, covering the advance use of Python for Data Science and Machine learning, Deep Learning and AI (Generative & Agentic AI) from Intermediate-Advance level.

Course Content

Resources

How to enroll into LMS?

Website for your Portfolio as a Data Science and AI Student

Revision

RAG and CAG | Augmented Generation of LLMs

MCP (Model Context Protocol)

Next Tasks

Mathematics for Data Science, AI and Computer vision

Statistics for Data Science and AI

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