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:
https://learn.microsoft.com/en-us/training/courses/ai-900t00?wt.mc_id=studentamb_387875

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:
https://learn.microsoft.com/en-us/training/courses/az-900t00?wt.mc_id=studentamb_387875

4.Data Engineering on Microsoft Azure
- Course DP-203T00-A
- Duration 4 days
- Course Link:
https://learn.microsoft.com/en-us/training/courses/dp-203t00?wt.mc_id=studentamb_387875

5.Microsoft Certified: DevOps Engineer Expert
- Course AZ-400
- Course Link:
https://learn.microsoft.com/en-us/credentials/certifications/devops-engineer/?wt.mc_id=studentamb_387875

6.Microsoft Power BI Data Analyst
- Course PL-300T00-A
- Duration 3 days
- Course Link:
https://learn.microsoft.com/en-us/training/courses/pl-300t00?wt.mc_id=studentamb_387875

7.Microsoft Certified: Cybersecurity Architect Expert
- Course AZ-500
- Course Link:
https://learn.microsoft.com/en-us/credentials/certifications/cybersecurity-architect-expert/?wt.mc_id=studentamb_387875

Adobe just announced OpenAI Sora integration!

Link:-
https://www.instagram.com/reel/C52P9XKL8h-/?igsh=MXN6ZDM1cjFvNzcxbQ==

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

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.

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

#programming #algorithms
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?Join @leanex_cs_stuffs for more?