Roadmap To Learn Generative AI In 2024: https://github.com/krishnaik06/Roadmap-To-Learn-Generative-AI-In-2024/tree/main

Learn to Build Mobile Games using Unity3D

Description 📓 : Build 2D and 3D games by learning Unity 3D mobile game development software with our Unity 3D tutorial.

Course Category 📰 : Mobile Development (Eduonix)

Enroll Now 👉 : https://www.eduonix.com/courses/Mobile-Development/Learn-to-Build-Mobile-Games-using-Unity3D

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Augmented Reality Assessment

Description 📓 : Test your Augmented Reality knowledge in a fun way.

Course Category 📰 : AI and Machine Learning (Eduonix)

Enroll Now 👉 : https://www.eduonix.com/augmented-reality-assessment

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Machine learning.pdf

Summer Programs List: Yale Young Global Scholars
https://globalscholars.yale.edu/
LaunchX
https://launchx.com/summer-program/
RSI
https://www.cee.org/programs/research-science-institute
Spark SIP
https://www.sparksip.org/
Applied Research Innovations in Science and Engineering (ARISE)
https://engineering.nyu.edu/academics/programs/k12-stem-education/arise
Stanford Institutes of Medicine Summer Research Program (SIMR)
https://simr.stanford.edu/
Summer Science Program (SSP)
https://summerscience.org/admissions/how-to-apply/
NIH Biomedical Research
https://www.training.nih.gov/programs/hs-sip
BU PROMYS
https://promys.org/
Stanford University Mathematics Camp
https://sumac.spcs.stanford.edu/
BU Rise
https://www.bu.edu/summer/high-school-programs/research/
NASA Internships
https://www.nasa.gov/learning-resources/internship-programs/
SSRP at Rockefeller University
https://www.rockefeller.edu/outreach/ssrp/
Simons at Stony Brook University
https://www.stonybrook.edu/simons/
Clark Scholar Summer Program
https://www.depts.ttu.edu/honors/academicsandenrichment/affiliatedandhighschool/clarks/
UPenn Management & Technology Summer Institute
https://fisher.wharton.upenn.edu/management-technology-summer-institute/
MITES (Minority Introduction to Engineering and Science)
https://mites.mit.edu/
MIT Beaver Works Summer Institute
https://beaverworks.ll.mit.edu/CMS/bw/bwsi
MIT PRIMES
https://math.mit.edu/research/highschool/primes/index.php
Johns Hopkins University Center for Talented Youth
https://cty.jhu.edu/
COSMOS
https://cosmos-ucop.ucdavis.edu/app/main
MathILy
https://www.mathily.org/
Young Tech Scholars
https://plaksha.edu.in/hs/young-technology-scholars
YUVIKA
https://www.isro.gov.in/YUVIKA.html
TASS
https://www.tellurideassociation.org/our-programs/high-school-students/
Lodha Genius Program
https://www.lodhageniusprogram.com/
UBC Future Global Leaders
https://extendedlearning.ubc.ca/programs/future-global-leaders-oncampus/overview
The European Space Camp
https://www.esa.int/Education/European_Space_Camp
LLCipher
https://www.ll.mit.edu/outreach/LLcipher.html
BU Summer Challenge
https://www.bu.edu/summer/high-school-programs/summer-challenge/
BU High School Honors
https://www.bu.edu/summer/high-school-programs/honors/
Stanford Pre-Collegiate Studies
https://spcs.stanford.edu/
High School Honors Science, Math and Engineering Program
https://education.msu.edu/hshsp/
YOUNG SCHOLARS PROGRAM @ Ashoka Uni
https://www.ashoka.edu.in/academic-programme/young-scholar-programme/
Notre Dame Leadership Seminars
https://precollege.nd.edu/leadership-seminars/
The Laboratory Learning Program
https://research.princeton.edu/students/research-opportunities/
LEDA Scholars Program
https://ledascholars.org/our-program/leda-scholars-program/recruitment-admissions/apply/
UChicago Summer Session
https://summer.uchicago.edu/high-school-students
Brown Pre-College Programs
https://precollege.brown.edu/
ESTEEM SER-Quest Summer Program
https://eng.umd.edu/minorities/pre-college-programs/esteem-ser-quest

Design and Analysis of Algorithms

This course assumes that students know how to analyze simple algorithms and data structures from having taken 6.006. It introduces students to the design of computer algorithms, as well as analysis of sophisticated algorithms.
R1. Matrix Multiplication and the Master Theorem. R2. 2-3 Trees and B-Trees. R3. Amortization: Amortized Analysis. R4. Randomization: Universal & Perfect Hashing. R5. Dynamic Programming. Augmentation: Range Trees.

🆓 Free Online Course
💻 Lecture Videos
⏰ Duration : More than 1 hour
🏃‍♂️ Self paced
Source : MIT


🔗 Course Link


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Applied LLMs Mastery Course!

https://areganti.notion.site/Applied-LLMs-Mastery-2024-562ddaa27791463e9a1286199325045c

Free AI Resources by Google that should be paid but it is free...

Beginner Level

1) Introduction to Generative AI Understand the fundamentals of generative AI and its use cases, and gain practical experience of developing generative AI apps. https://lnkd.in/dyabpncK

2) Prompt Design in Vertex AI Craft powerful prompts, learn multimodal generative techniques, and apply Gemini models to real-world marketing cases. https://lnkd.in/d8QgGSrS 

3) Introduction to Duet AI in Google Workspace Learn to use Duet AI to streamline your Google Workspace and become more productive. https://lnkd.in/d6-sQ-DN  

4) Responsible AI: Applying AI Principles with Google Cloud Learn best practices to responsibly integrate AI into your business operations. https://lnkd.in/ddp4vBNd  Intermediate

5) Conversational AI on Vertex AI and Dialogflow CX Build, deploy and manage virtual agents to engage with customers and resolve errors. https://lnkd.in/dnkAxE4B 

6) Attention Mechanism Understand the basics of attention mechanism and learn to use it to improve standard ML tasks, such as machine translation, text summarization, and answering questions. https://lnkd.in/dDZTDEvg 

7) Create Image Captioning Models Use deep learning to create your own image captioning model, train it, and evaluate output. https://lnkd.in/duuJTWvv 

8) Encoder-Decoder Architecture Learn the fundamentals of encoder-decoder architecture and to use it to train models to perform sequence-to-sequence tasks. https://lnkd.in/dsNaBcBt  Advanced

9) ML Pipelines Learn from trainers and engineers who are directly involved in the development of ML pipelines at Google Cloud. https://lnkd.in/dDu_fgVZ 

10) Google Cloud Solutions II: Data and Machine Learning Learn to use Google Cloud to run big data operations and analytics, using the ML practices of Google’s Solutions Architecture team. https://lnkd.in/dpMYeVyK

DISCLAIMER: Most course materials are free to consume. But labs may need a subscription, credits, or participation in campaigns to be accessed.

*Building Real-World Applications with LLMs!*

A Free course where you'll learn how to build real-world, production grade LLM applications.

It also covers essential topics like fine-tuning, prompt engineering, experiment management, model versioning, deployment, monitoring and maintenance of LLMs!

Here are the course lessons:

1. Introduction to LLMOps
2. Working with LLMs
3. LLMOps in Practice
4. Case Studies & Applications of LLMOps
5. Advanced Topics in LLMs & LLMOps
6. Future of LLMOps

Link to the course: https://www.udacity.com/course/building-real-world-applications-with-large-language-models--cd13455


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Free Generative AI Live Course!

🎊 I am very grateful that my free Master Generative AI with Langchain course hit big with over 80+ students. I am providing this course for free on weekends
(started from April 6th).

Here's what have been covered so far, in 2 days, on April 6th and April 7th. GenAI Introduction:

🥁 What are Large Language Models?

🥁 How do we train LLMs?

🥁 Evaluation Metrics (get an idea about BLEU score, and ROUGE score, also understand Precision, Recall, and Accuracy)

🥁LLM use cases

🥁LLM challenges

🥁Domain Specific Pre-Traning

🥁Domain Specific Fine-Tuning

🥁RAG GenAI Prompt Engineering:

🥁 What is Prompting?

🥁Parameters affecting LLM Output: Temperature, Top K, Top P, Maximum Length, Repetition Penalty, Presence Penalty

🥁Elements of Prompts

🥁Open AI Guidelines for Prompting

🥁Zero-Shot Prompting

🥁Few-Shot Prompting

🥁Chain-of-Thought Prompting

🥁Self-consistency Prompting

🥁Tree of Thoughts Prompting

🥁Generated Knowledge Prompting

🥁Prompt Chaining

🥁ReAct Prompting

🥁 Multimodal CoT Prompting

The course material is available at this link:
https://lnkd.in/gZW44vcH

Please join this whatsapp group for more lecture materials and related videos. Thanks! https://lnkd.in/g8-b85HW

Read complete post!
Here: https://www.instagram.com/myneural.co?igsh=MW01Mndna2VmdnI1YQ==

To be updated with Data Science - Machine Learning - Artificial Intelligence - Generative AI - [Resources, Opportunities, Tools, etc]

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Adobe just announced OpenAI Sora integration!

Link:-
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FREE statistics resource was accessed by 300 people in the first 24 hours of launch :D

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LLM Agents Complete Guide - From zero to one

https://github.com/aishwaryanr/awesome-generative-ai-guide/blob/main/resources/agents_roadmap.md

Microsoft is Offering Free Certification Courses!!

No Fee , No Subscription required , Just Start Learning

These Courses Includes Video Lectures , Tutorial and Easy Notes.

Discover the following Free Courses:

1.Microsoft Azure AI Fundamentals
- Course AI-900T00-A
- Duration 24hrs
- Course Link:
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2.Designing and Implementing a Microsoft Azure AI Solution
- Course AI-102T00-A
- Duration 4 days
- Course Link:
https://learn.microsoft.com/en-us/training/courses/ai-102t00?wt.mc_id=studentamb_387875

3.Microsoft Azure Fundamentals
- Course AZ-900T00-A
- Duration 24hrs
- Course Link:
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4.Data Engineering on Microsoft Azure
- Course DP-203T00-A
- Duration 4 days
- Course Link:
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5.Microsoft Certified: DevOps Engineer Expert
- Course AZ-400
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6.Microsoft Power BI Data Analyst
- Course PL-300T00-A
- Duration 3 days
- Course Link:
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7.Microsoft Certified: Cybersecurity Architect Expert
- Course AZ-500
- Course Link:
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