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Start Date: February 8th 2025 8pm IST In Youtube Channel 
All Materials will be uploaded here :) in dashbaord
This crash course offers an intensive, 5-day journey into Python for data science with an emphasis on generative modeling. Each 2-hour live session will combine quick theory overviews, interactive coding examples, and live Q&amp;A to keep your audience engaged. Participants will learn Python fundamentals, data manipulation and visualization, basic machine learning, and an introduction to generative models&mdash;all through practical, bite-sized lessons perfect for the live stream format.
We will cover major topics
1. How to create environments and manage packages and workign with IDE's
2. How to start with modular coding With oops
3. Logging and Exception Handling
4. Getting Started With Building GenAI App With LLM's
5. Becoming better in basic Data Structures usage.
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5 Days Free Python Crash Course For Data Science And Generative AI

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In this course we will build Agentic AI Application with the help of frameworks such as Langflow, Phidata,Langgraph,Autogen
Agentic AI is a type of artificial intelligence (AI) that can act independently and autonomously without constant human supervision. It's also known as AI agents. Agentic AI is considered the next wave of AI, and it's characterized by its ability to:&nbsp;
Learn and adapt
Agentic AI can learn from experience and feedback, and adapt to changing circumstances.&nbsp;
Make decisions
Agentic AI can understand the user's goal and the context of the problem, and then make decisions based on that information.&nbsp;
Solve complex problems
Agentic AI can handle complex tasks and sequences of activities, and can independently search databases or trigger workflows.&nbsp;
Agentic AI can be used in a variety of industries and applications, including:
Healthcare
AI agents can help doctors analyze medical data, automate administrative tasks, and provide 24/7 support to patients.&nbsp;
Grid management
Agentic AI can learn to recognize consumption patterns, and can help utility managers and grid operators manage resources autonomously.&nbsp;
Supply chain management
Agentic AI can predict demand, optimize inventory, and coordinate shipments.&nbsp;
Manufacturing
Agentic AI can help manufacturing robots respond to unexpected scenarios, such as anomalies on a conveyor belt.&nbsp;
Finance
Agentic AI can execute trades at high speeds and identify arbitrage opportunities.&nbsp;
Agentic AI uses a combination of machine learning, natural language processing, and automation technologies.&nbsp;
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Building Agentic AI Free Course

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Live Advance NLP Generative AI Bootcamp
Course Overview:
Mentors: Krish Naik And Sunny Savitha
Start Date: November 16th 2024
Timing: 8pm to 11pm IST(Saturday And Sunday)
Duration : 4-5 months
The "Advanced NLP with Generative AI Bootcamp" is designed for those looking to deepen their understanding of Natural Language Processing using cutting-edge Generative AI techniques. This course will cover advanced NLP concepts, including transformer models, attention mechanisms, and the latest advancements in text generation. Participants will explore how to build sophisticated NLP pipelines, fine-tune large language models, and deploy applications for real-world scenarios. With hands-on projects, you'll learn to harness generative models like GPT, BERT, and Llama to create intelligent chatbots, summarization tools, and sentiment analysis systems. Ideal for AI enthusiasts and professionals, this bootcamp ensures you&rsquo;re equipped with the skills to lead in the ever-evolving field of NLP and Generative AI.

Please check the detailed syllabus below
<a href="https://bit.ly/4hAI4YH">https://bit.ly/4hAI4YH</a>

Features to Be Provided:
1. Dashboard Access With 1 year
2. Community chat forum for discussion
3. Live Doubt Clearing After Session
4. Hackathons With Rewards
5.Job Referrals
6. Resume Discussion And Mock Interview


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Live Advance NLP Generative AI Bootcamp

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Live Complete Computer Vision With Generative AI Bootcamp
Course Overview:
Mentors: Krish Naik And Monal singh
Start Date: November 16th 2024
Timing: 10am to 2pm IST(Saturday And Sunday)
Duration : 3-4 months
Session will happen in Zoom
In this intensive bootcamp, you will dive deep into the powerful combination of Computer Vision and Generative AI. This course is designed to provide a robust foundation in computer vision concepts and techniques, while integrating cutting-edge generative AI models to tackle complex image processing tasks, create synthetic data, and automate visual analytics. From industry beginners to seasoned professionals, this course will empower you with the tools and knowledge needed to apply computer vision in the real world using generative AI techniques.
Please check the detailed syllabus below
<a href="https://bit.ly/48woWqK" target="_self">https://bit.ly/48woWqK</a>
Features to Be Provided:
1. Dashboard Access With 1 year
2. Community chat forum for discussion
3. Live Doubt Clearing After Session
4. Hackathons With Rewards
5.Job Referrals
6. Resume Discussion And Mock Interview



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Live Complete Computer Vision With Generative AI Bootcamp

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Start Date: 5th October 2024 2pm IST
Mentors: Krish Naik And Monal Singh
Dive into the world of deep learning and computer vision in this immersive 3-day workshop designed for beginners and intermediate learners. Whether you're looking to enhance your skills in image processing, neural networks, or real-time object detection, this workshop will provide hands-on experience with some of the most powerful tools in AI today, such as OpenCV and YOLO.

Participants will explore the full spectrum of computer vision techniques, from basic image processing to advanced object detection. By the end of the workshop, you&rsquo;ll have a solid foundation in deep learning for computer vision and practical skills to implement these techniques in real-world scenarios.
Workshop Agenda:
Day 1: Image Processing &amp; Computer Vision with OpenCV
Introduction to computer vision and its applications.
Fundamentals of image processing using OpenCV.
Key image transformations, filters, and feature extraction techniques.
Hands-on practice with basic image operations (blurring, edge detection, etc.).
Day 2: Image Classification and Convolutional Neural Networks (CNN)
Image Classification with Neural Networks: Learn how neural networks can classify images.
Need for CNN: Understand the limitations of traditional neural networks in image processing and why CNNs are essential.
Image Classification with CNN: Dive deep into the architecture and working principles of Convolutional Neural Networks.
Evaluating CNN Performance: Learn to fine-tune and evaluate the performance of CNN models using common metrics and techniques.
Day 3: Object Detection with YOLO
Understanding the Need for Object Detection: Learn the importance of object detection in various industries and use cases.
History of Object Detection: A brief overview of the evolution of object detection techniques.
Real-Time Object Detection with YOLO (You Only Look Once): Implement and work with the powerful YOLO algorithm for real-time object detection, gaining hands-on experience with its capabilities and applications.

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Deep Learning Computer Vision- 3 Days Workshop

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Workshop Duration:
4 Days, Intensive Workshop
Instructor: Krish Naik And Sunny Savitha
Dates: 28th and 29th September,5th and 6th October
Time: 10am IST - 2pm IST
Overview:
This 4-day hands-on workshop is designed to provide an in-depth understanding of fine-tuning large language models (LLMs), with practical implementations and real-world examples. It is tailored for data scientists, ML engineers, and AI enthusiasts who are looking to enhance their skills in fine-tuning, leveraging models like BERT, T5, LLAMA, GPT-4, and more. The workshop will cover supervised fine-tuning, instruction fine-tuning, reinforcement learning from human feedback (RLHF), and cost-effective methods such as LoRA and QLoRA. Attendees will gain practical skills in working with custom data, and open-source models, and integrating APIs for fine-tuning commercial LLMs.
Day 1: Introduction to Transfer Learning &amp; Fine-Tuning
Overview of Transfer Learning vs Fine-Tuning: Understand the fundamental differences, their use cases, and when to use each approach.
Complete End-to-End Fine-Tuning Roadmap: A detailed roadmap covering supervised fine-tuning, instruction fine-tuning, RLHF, and optimization methods like DPO and PPO.
Why Fine-Tuning Matters for Specific Tasks: Explore how fine-tuning is critical for domain-specific tasks and how to adapt models for high-impact applications.
Cost Analysis for Fine-Tuning: Learn the financial implications of fine-tuning large models and strategies to optimize costs.
Fine-Tuning BERT and T5 Models on Custom Data: A hands-on session on fine-tuning popular models like BERT and T5 on custom datasets.
Day 2: Supervised Fine-Tuning with Open-Source Models
Fine-Tuning Open-Source Models (LLAMA, Mistral, Zephyr, etc.): Learn how to fine-tune open-source models for various use cases.
Hands-on: Supervised Fine-Tuning with PEFT (LoRA and QLoRA): Practical implementation of Parameter Efficient Fine-Tuning (PEFT) techniques such as LoRA and QLoRA to reduce computational load while achieving powerful results.
Day 3: Instruction Fine-Tuning for OpenAI Models
Instruction Fine-Tuning for OpenAI Models: Deep dive into fine-tuning OpenAI&rsquo;s GPT-3.5 Turbo and GPT-4 models, requiring API integration.
Hands-on: Fine-Tuning GPT-3.5 Turbo and GPT-4: A practical session where you will fine-tune OpenAI models to optimize performance for specific tasks or domains using OpenAI&rsquo;s API.
Day 4: Reinforcement Learning from Human Feedback (RLHF) and Optimization Methods
Understanding RLHF: Explore Reinforcement Learning from Human Feedback (RLHF) and its applications in improving the quality of language models.
DPO and PPO Over RLHF: Learn how Direct Preference Optimization (DPO) and Proximal Policy Optimization (PPO) methods improve over RLHF in certain tasks.
Hands-on: RLHF Implementation: Implement RLHF on custom data to see how feedback-driven reinforcement can be used to optimize LLMs.

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Advanced LLM Fine-Tuning: Hands-on Implementation Workshop- 4 Days Workshop

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6 days Live End To End Data Science With MLOPS (17-08-2024 10am-1pm IST)
In this data science project, you will build a machine learning system which will be able predict whether the website is phising or not. This project will be very usefull for cyber security domain where spam or malicious websites can be sorted based on the certain indicators. As we know that internet is getting very accessible to everyone by the day, in the similar rate spam or malicious website who cheated people or cause fraud to lot of people, so search engine companies like Google, Microsoft, Brave, etc have to detect a block such website, the end user does not land up in the malicious website, we can also consider like the feature of safe search in Google Chrome or similar search engines.

Since the number of websites in the internet, very very huge and increasing a lot faster pace, these companies have to problem of keeping track of these kind of websites and block them. So in order to solve these issues, we can use machine learning techniques to analyze patterns in malicious website and through some cyber security domain knowledge, we can build a machine learning system, to predict whether a particular website is malicious or not.
In this Session we will be covering
1. Building End To End Machine Learning Projects
2. Covering MLOPS Tool- Github Action,MLFLOW,AirFlow, TerraForm
3. Building Industry Grade Project For Resumes
4. Covering Deployment Techniques With AWS
5. Covering Dockers and Kubeflow
Prerequisites:
1. Machine Learning
2. Goods hands on with Python programming language
3. Knowledge Of Git and Github
4. Knowledge of Building Atleast some projects

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6 Days Workshop-Live End To End Data Science With MLOPS

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In this 3 hours Live crash Course ,we will be dicussing about (Dated: 03/08/2024 10am-1pm IST)
1. Getting started With LangGraph
2. Creating Chatbots with LangGraph
3. Rag Application Using LangGraph&nbsp;
4. Langgraph Evaluation And Analysis
5. Creating Multi Ai Agents Using LangGraph
Prerequisites required
1. Python Programming Language
2. Basic Knowledge of Langhcain
3. Knowledge Of RAG application
4. Dedication to Learn&nbsp;
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Live Session On LangGraph-Building Language Agents as Graphs

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In this 3 hours Live crash Course ,we will be dicussing about (Dated: 27/07/2024)
1. Graph Databases
2. Why Do We Need Graph Databases
3. Working Neo4j Graph Database
4. Cypher Query Language
5. Creating Nodes And Relationship With Cypher Query Language In Neo4j Auro Db&nbsp;
6. How To Build RAG With Graph Db&nbsp;
Prerequisites required
1. Python Programming Language
2. Basic Knowledge of Langhcain
3. Knowledge Of RAG application
3. Dedication to Learn&nbsp;
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Graph Databases With Langchain

Data science & GenAI Master Bootcamp

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Course Overview:
Mentors: Sourangshu Paul, Mayank Aggarwal , Krish And Sunny
Start Date: January 25th 2025
Timing: 3pm to 6pm IST(Saturday And Sunday)
Duration : 4-5 months
In this comprehensive bootcamp, you'll learn to create Agentic AI applications using cutting-edge frameworks like Langflow, Pydata, CrewAI, LangGraph, and AutoGen. We'll guide you through multiple end-to-end projects to build robust Agentic AI applications. Additionally, you'll dive deep into Generative AI, exploring its capabilities and applications specifically on AWS and GCP Cloud, gaining hands-on experience with these powerful platforms.
Please check the detailed syllabus below
<a href="https://bit.ly/40g5YSE" target="_self">https://bit.ly/40g5YSE</a>
Features to Be Provided:
1. Dashboard Access With 1 year
2. Community chat forum for discussion
3. Live Doubt Clearing After Session
4. Hackathons With Rewards
5.Job Referrals
6. Resume Discussion And Mock Interview
Reach out to Krish Naik's counselling team on 📞 +919111533440 in case of any queries we are there to help you out.


</div>

Live Building Agentic AI And Generative AI Application With Cloud (AWS And GCP)

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Big Data With Azure And AWS Cloud Mastery Program
Mentors: Mayank Aggarwal
Start Date: December 21st 2024
Timing: 8am to 12pm IST(Saturday And Sunday)
Proficiency Level - Professionals (2+years experience)
This comprehensive program is designed to equip you with the skills and knowledge needed to thrive as a Big Data Engineer in today&rsquo;s cloud-driven world. Starting from foundational Big Data concepts and tools, you&rsquo;ll progress to mastering distributed computing frameworks like Apache Spark and Kafka.
The course emphasizes practical learning through hands-on projects and real-world use cases, focusing on integrating Big Data solutions with Azure And AWS Cloud. By the end of the program,you&rsquo;ll have the ability to design, build, and deploy scalable data pipelines, process massive datasets, and implement analytics workflows.
Please download the complete syllabus below
<a href="https://bit.ly/41pbdkf" target="_self">https://bit.ly/3OqqN78</a>
Features to Be Provided:
1. Dashboard Access With 1.5 year
2. Community chat forum for discussion
3. Live Doubt Clearing After Session
4. Hackathons With Rewards
5.Job Referrals If we Have Any
6. Resume Discussion And Mock Interview
Reach out to Krish Naik's counselling team on 📞 +919111533440 in case of any queries we are there to help you out.

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Complete Big Data Bootcamp With AWS And Azure Cloud

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Course Overview:
Mentors: Sourangshu Paul, Mayank Aggarwal , Krish And Sunny
Start Date:May 10th 2025
Timing: 8am to 11am IST(Saturday And Sunday)
Duration : 4-5 months
This course is designed for AI developers, machine learning engineers, data scientists, and software engineers looking to build expertise in agentic AI, multi-agent systems, and AI-powered automation. Whether you are new to AI agents or have experience in NLP and GenAI, this course will equip you with the knowledge and hands-on skills required to develop, deploy, and manage AI agents at scale. By the end of the course, you will have a strong foundation in agentic AI frameworks, multi-agent collaboration, real-world automation, and end-to-end AI deployment, along with practical experience through real-world projects.
Please check the detailed syllabus below
<a href="https://drive.google.com/file/d/1jOzGMsCHKUrI1x4PyFxVsxOyOskbSMg0/view?usp=sharing" title="2.0-Agentic" target="_blank" rel="noopener">Course Detailed Syllabus</a>
Features to Be Provided:
1. Dashboard Access With 1.5 years
<a href="http://2.Community" target="_self">2. Community</a> chat forum for discussion
3. Live Doubt Clearing After Session
4. Hackathons With Rewards
5. Resume Discussion And Mock Interview
Reach out to Krish Naik's counselling team on 📞 +919111533440 in case of any queries we are there to help you out.


</div>

✨Learn Data science from scratch from krish naik team starting at 22-03-2025 ✨ Contact Us

Recent live classes

Data science & GenAI Master Bootcamp

Live Building Agentic AI And Generative AI Application With Cloud (AWS And GCP)

Complete Big Data Bootcamp With AWS And Azure Cloud

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2.0 Live Agentic AI And Generative AI Application With Cloud Bootcamp

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5 Days Free Python Crash Course For Data Science And Generative AI

Building Agentic AI Free Course

Live Advance NLP Generative AI Bootcamp

Live Complete Computer Vision With Generative AI Bootcamp

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