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DeepSeek R1 एआई: शुरुआती के लिए 25 AI प्रोजेक्ट्स

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DeepSeek AI की शक्ति को अनलॉक करें: 25 प्रैक्टिकल प्रोजेक्ट्स के साथ हैंड्स-ऑन AI डेवलपमेंटक्या आप DeepSeek AI का उपयोग करके वास्तविक दुनिया की AI एप्लिकेशन बनाना चाहते हैं? यह कोर्स आपको शुरुआत से लेकर उन्नत स्तर के AI डेवलपर तक ले जाएगा, जिसमें प्राकृतिक भाषा प्रसंस्करण (NLP), चैटबॉट्स, ऑटोमेशन और AI-आधारित एप्लिकेशन पर ध्यान केंद्रित किया गया है—और वो भी बिना किसी क्लाउड सेवा के! DeepSeek AI एक ओपन-सोर्स, शक्तिशाली AI मॉडल है जो डेवलपर्स को स्थानीय रूप से उन्नत ऑटोमेशन, टेक्स्ट जनरेशन और NLP कार्यों को करने की क्षमता देता है। इस कोर्स में आप 25 रियल-वर्ल्ड प्रोजेक्ट्स पर काम करेंगे और AI को बिज़नेस, प्रोडक्टिविटी, ऑटोमेशन और सॉफ्टवेयर डेवलपमेंट में कैसे लागू किया जाता है इसका व्यावहारिक अनुभव प्राप्त करेंगे।आप इस कोर्स में क्या सीखेंगेकोर्स के अंत तक, आप:अपने लोकल सिस्टम पर DeepSeek AI को सेटअप और इंस्टॉल कर पाएंगे।टेक्स्ट प्रोसेसिंग ऐप्स जैसे समरी जनरेशन, ग्रामर करेक्शन और सेंटिमेंट एनालिसिस बना पाएंगे।ग्राहक सहायता, ई-कॉमर्स और व्यक्तिगत उत्पादकता के लिए स्मार्ट चैटबॉट और वर्चुअल असिस्टेंट बना सकेंगे।ईमेल ड्राफ्टिंग, रिज्यूमे जनरेशन और डॉक्युमेंट समरी जैसे दैनिक कार्यों को AI से ऑटोमेट कर पाएंगे।कोड ऑटो-कंप्लीशन, डिबगिंग और SQL जनरेशन जैसे टूल्स बना सकेंगे।लोकल परफॉर्मेंस के लिए AI मॉडल्स को ऑप्टिमाइज़ कर सकेंगे।बिज़नेस उपयोग के लिए AI ऐप्स बना सकेंगे जैसे वित्तीय विश्लेषण, जॉब स्क्रिनिंग और ग्राहक फीडबैक प्रोसेसिंग।Python की मदद से NLP और AI ऑटोमेशन में व्यावहारिक अनुभव हासिल करेंगे।बिना क्लाउड-आधारित APIs पर निर्भर हुए प्रोजेक्ट्स पर काम कर सकेंगे।यह कोर्स किनके लिए है?

यह कोर्स उपयुक्त है:वे Python डेवलपर्स जो अपनी ऐप्लिकेशन में AI इंटीग्रेट करना चाहते हैं।AI और NLP में नए लोग जो प्रैक्टिकल अनुभव चाहते हैं।टेक्स्ट प्रोसेसिंग के लिए AI मॉडल्स का परीक्षण करने वाले डेटा वैज्ञानिक।AI आधारित ऑटोमेशन टूल्स बनाने के इच्छुक टेक्नोलॉजी प्रोफेशनल्स।AI उत्पाद बनाने के इच्छुक स्टार्टअप फाउंडर्स और एंटरप्रेन्योर्स।वे छात्र और शोधकर्ता जो क्लाउड पर निर्भर किए बिना AI प्रोजेक्ट पर काम करना चाहते हैं।कोर्स प्रोजेक्ट्स का अवलोकनइस कोर्स में 25 व्यावहारिक प्रोजेक्ट्स शामिल हैं:टेक्स्ट प्रोसेसिंग – समरी, सेंटिमेंट एनालिसिस, और टेक्स्ट जनरेशन।चैटबॉट्स और वर्चुअल असिस्टेंट – AI-आधारित इंटेलिजेंट असिस्टेंट्स बनाना।ऑटोमेशन – ईमेल रिस्पॉन्डर, रिज्यूमे जेनरेटर, वर्कफ़्लो ऑटोमेशन।डेवलपर्स के लिए AI – कोड ऑटो-कंप्लीशन, डिबगिंग, API टेस्टिंग टूल्स।व्यवसाय और उत्पादकता – वित्तीय विश्लेषण, कैंडिडेट स्क्रिनिंग, ग्राहक प्रतिक्रिया विश्लेषण।यह कोर्स क्यों करें? प्रैक्टिकल AI प्रोजेक्ट्स से वास्तविक अनुभव पाएं।क्लाउड पर निर्भर नहीं—सभी कुछ लोकली चलता है! स्टेप-बाय-स्टेप गाइड और पूरा कोड उपलब्ध।NLP, चैटबॉट्स, ऑटोमेशन और बहुत कुछ शामिल।डेवलपर्स, छात्रों और AI प्रेमियों के लिए आदर्श।आज ही AI-चालित एप्लिकेशन बनाना शुरू करें!

अब जुड़ें और DeepSeek AI की पूरी क्षमता को 25 प्रैक्टिकल और रियल-वर्ल्ड प्रोजेक्ट्स के साथ अनलॉक करें!

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Disclaimer: This course contains the use of artificial intelligence(AI).Most data courses teach you Python syntax. This course teaches you how to think like a data analyst, work like a professional, and get hired like one. you will go from writing your first line of Python to deploying a complete data analytics project — with machine learning, AI-powered insights, interactive dashboards, and a GitHub portfolio that proves you can do the work.This is not a theory course. Every lecture has real data, real code, and real business decisions behind it.WHY THIS BOOTCAMP IS DIFFERENTEvery other Python for data course stops at the technical skills. This one goes further. You will learn how to use AI tools like the Anthropic API to analyze data 5x faster, how to communicate insights to executives using the SCQA framework, and how to position yourself for U.S. data analyst roles as an international professional navigating OPT, STEM OPT, and H-1B pathways.The skills in this course are not academic. They are the exact skills hiring managers test in data analyst interviews at U.S. companies right now.WHAT YOU WILL BUILDBy the end of this bootcamp you will have completed a full end-to-end analytics project . Your deliverables will include a clean, documented GitHub repository, a machine learning model that predicts high-value orders with over 80% accuracy, an interactive Plotly Dash dashboard your stakeholders can actually use, an AI-generated executive summary built with the Anthropic API, and an automated Python report that runs and emails itself on a schedule.That portfolio project is your most powerful job application tool. More credible than a certificate. More specific than a resume bullet.WHAT IS COVERED — DAY BY DAYFirst day covers Python foundations built specifically for data work. You will set up your environment, learn the only Python you actually need, and read your first real-world dataset.Day 2 covers data cleaning and wrangling with pandas. You will handle nulls, fix data types, remove duplicates, merge DataFrames, and build an analysis-ready dataset from scratch.Day 3 covers exploratory data analysis. You will apply descriptive statistics correctly, build professional visualizations with Matplotlib and Seaborn, and generate 10 business insights from a real e-commerce dataset without touching a single machine learning model.Day 4 covers AI-assisted analysis. You will make your first API call to a large language model, build a personal analyst assistant in Python, and master prompt engineering techniques specifically designed for data tasks.Day 5 covers machine learning fundamentals. You will build regression and classification models with scikit-learn, interpret every output in plain English, and evaluate your models correctly using cross-validation, confusion matrices, and F1 scores.Day 6 covers dashboards and data storytelling. You will build interactive dashboards with Plotly and Dash, structure analyst presentations using the SCQA framework, and automate a complete reporting pipeline that generates and emails a PDF report on a schedule.Last Day covers your capstone project and career positioning. You will complete a full end-to-end analytics project, publish it on GitHub with a recruiter-ready README, and build a 30-day job search action plan designed specifically for international professionals in the U.S. market.WHO THIS COURSE IS FORThis course is built for international students and professionals on F-1, OPT, or STEM OPT who want to transition into data roles in the U.S. It is also for working professionals in non-technical fields who want to upskill into analytics without a computer science background, and for early-career analysts who know the basics but have never built a complete portfolio project or integrated AI into their workflow.You do not need a mathematics degree. You do not need prior programming experience. You need a laptop, a willingness to write code alongside the lectures, and a goal to land a data role.REQUIREMENTSNo prior Python experience is required. A computer with internet access and at least 8GB of RAM is sufficient. All software used in this course is free and open source. API usage in the AI modules requires a free account — setup is covered in the lecture.A NOTE ON CAREER OUTCOMESData Analyst, Business Intelligence Analyst, Analytics Engineer, and Data Scientist roles are among the most consistent H-1B sponsoring positions in the U.S. market. All qualify for STEM OPT extension under the relevant CIP codes. This course does not just build your technical skills — it builds the portfolio evidence that makes your application stand out to employers who sponsor visas.Every skill in this bootcamp was chosen because it appears in job descriptions, gets tested in interviews, and transfers directly to your first week on the job.Enroll now. Your portfolio project starts in the first lecture.

AI Agents: From Foundations to Enterprise Systems

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Disclaimer: This course contains the use of artificial intelligence(AI).AI agents are rapidly transforming how software is built, decisions are made, and work gets done across industries. This course is a comprehensive, hands-on journey into designing, building, and deploying intelligent AI agents—from foundational concepts to enterprise-grade systems. Over 52 structured weeks, learners progress step by step through the full lifecycle of agentic AI without relying on a single capstone project, ensuring continuous, practical learning every week.You begin by mastering the core foundations of AI agents, including agent architectures, perception–action loops, reasoning, planning, and memory. Early modules focus on understanding how large language models power modern agents, how prompts differ from programs, and how agents decompose complex goals into executable tasks. Through guided labs, you build your first agents, add memory, enable tool usage, and implement structured reasoning patterns that go far beyond simple chatbots.As the course progresses, you move into agent frameworks, orchestration, and multi-agent collaboration. You learn how agents communicate, delegate tasks, resolve conflicts, and operate as coordinated systems rather than isolated components. Hands-on labs emphasize real execution—building sequential and parallel workflows, debugging agent failures, evaluating outputs, and optimizing for latency and cost. You gain practical experience designing agents that are reliable, explainable, and measurable.A major focus of the course is knowledge-driven and data-aware agents. You build retrieval-augmented agents, integrate structured and unstructured data sources, work with documents, and design long-term memory systems that persist and evolve over time. You also explore advanced capabilities such as multi-modal agents that reason across text, images, and audio, as well as real-time and event-driven agents that respond dynamically to changing inputs.The course then shifts into enterprise-grade agent systems. You learn how to secure agents, prevent prompt injection, enforce governance, and design human-in-the-loop workflows. Topics such as observability, monitoring, versioning, scaling, and cost optimization prepare you to deploy agents in production environments. Ethical considerations and responsible AI practices are woven throughout, ensuring agents are safe, transparent, and aligned with organizational policies.In the final phase, you apply agentic AI across real business domains including HR, finance, sales, IT operations, compliance, research, and personal productivity. Each week includes multiple topics, two hands-on labs, and a practical homework assignment, reinforcing skills through continuous application rather than a single end-of-course project.By the end of this course, learners will confidently design, build, deploy, and govern AI agents that operate autonomously, collaborate effectively, and deliver real business value—equipping them with future-ready skills for the rapidly evolving world of agentic AI.

AI in Healthcare: A-Z Guide on Tech, Applications & Ethics

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Are you ready to be part of the biggest transformation in the history of medicine?Artificial Intelligence is no longer a futuristic concept—it is reshaping healthcare right now. From diagnosing cancer earlier than humanly possible to discovering life-saving drugs in record time, AI is the new nervous system of modern medicine.Welcome to AI in Healthcare: A-Z Guide on Tech, Applications & Ethics, the most comprehensive, practical, and accessible guide.Whether you are a clinician, a healthcare administrator, a medical student, a Pharmacist, a Nurse, or a technologist, this course will strip away the hype and give you a deep, actionable understanding of how AI works, where it is applied, and the ethical challenges we must navigate.We focus on "Augmented Intelligence"—the vision where AI does not replace healthcare professionals, but elevates them, automating burnout-inducing tasks and providing superpowers in diagnostics and decision-making.What You Will Learn:Master the AI Toolkit: Understand the core technologies driving the revolution, including Machine Learning (ML), Deep Learning, Natural Language Processing (NLP), Computer Vision, and Medical Robotics.Revolutionize Diagnostics: Discover how Convolutional Neural Networks (CNNs) are acting as a radiologist’s co-pilot to detect cancer, diabetic retinopathy, and neurological disorders like Alzheimer's.Reinvent Drug Discovery: Learn how AI is solving the pharma R&D crisis by accelerating target identification, virtual screening, and clinical trials (featuring case studies like BenevolentAI).Personalize Medicine: Explore the "N-of-1" revolution, from AI-driven oncology treatment plans to precision robotic surgery with the da Vinci 5 system.Optimize Hospital Operations: See how Predictive Analytics and Ambient AI Scribes are tackling clinician burnout, managing patient flow, and automating clinical documentation.Navigate the "Implementation Hurdles": Understand the critical hurdles of HIPAA & Data Privacy, Algorithmic Bias, FDA Regulation, and EHR Interoperability.Master AI Ethics: Tackle the tough questions regarding the "Black Box" problem, Explainable AI (XAI), patient accountability, and informed consent.Future-Proof Your Career: Get a look at the 5-10 year horizon, including Generative AI, Synthetic Data, Federated Learning, and the rise of the Augmented Clinician.Course Curriculum Breakdown:Module 1: The Revolution Begins We define AI in a clinical context and explore the "Perfect Storm" driving this shift: the Data Deluge (Genomics, EHRs), Exponential Computing Power (GPUs), and the economic necessity of modern healthcare.Module 2: The Core Technologies No coding required! We break down complex tech into simple terms. You will understand Supervised vs. Unsupervised Learning, how Neural Networks mimic the brain, and how NLP unlocks the 80% of medical data trapped in doctors' notes.Module 3: AI in Diagnostics Dive into Radiology and Digital Pathology. We analyze how AI detects lung and breast cancer in CTs/MRIs, screens for blindness, and assists pathologists with tissue sample analysis. Spotlight: GE Healthcare, Aidoc, Paige AI.Module 4: Pharma & Drug Discovery See how AI cuts drug development timelines from years to months. We cover high-speed virtual screening, predicting drug toxicity, and optimizing clinical trials.Module 5: Personalized Medicine & Surgery Move beyond "one-size-fits-all." Learn how AI tailors oncology treatments based on your genome (Tempus case study) and provides "force feedback" and integrated intelligence in robotic surgery (Intuitive Surgical & Medtronic).Module 6: Hospital Operations Tackle the crisis of burnout. Learn how AI automates medical coding, creates optimized schedules, and uses predictive analytics to manage hospital bed capacity and patient flow.Module 7: Patient Engagement Shift from reactive to proactive care. Explore the "Digital Front Door," Remote Patient Monitoring (RPM) for chronic conditions (Diabetes, CVD), and 24/7 AI Chatbots for triage and mental health support.Module 8: The Implementation Gauntlet We take an honest look at the barriers: The risk of re-identification in data, the dangers of Algorithmic Bias in health equity, navigating FDA approval pathways (510(k) vs. De Novo), and the cost of integration.Module 9: The Moral Compass (Ethics) We tackle the "Black Box" problem—how can we trust an AI if we don't know how it thinks? We discuss the rise of Explainable AI (XAI), liability when AI makes a mistake, and the evolution of informed consent.Module 10: The Future Horizon (5-10 Years) Prepare for what’s next. We cover Generative AI for synthetic data creation, Federated Learning for privacy-preserving collaboration, and the essential need for "Algorithmic Literacy" in medical education.Join us today to bridge the gap between medicine and technology. Enroll now to become a leader in the era of Augmented Intelligence!

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DeepSeek R1 एआई: शुरुआती के लिए 25 AI प्रोजेक्ट्स

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DeepSeek R1 एआई: शुरुआती के लिए 25 AI प्रोजेक्ट्स

About this course

Skills you'll gain

Available Coupons

Course Information

This course includes:

Share this course

You May Also Like

Data Analytics with Python & AI

AI Agents: From Foundations to Enterprise Systems

AI in Healthcare: A-Z Guide on Tech, Applications & Ethics