Design, Build, Inspire – Become a Web Design Pro in Weeks!
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All-in-One Web Design Mastery!

Design, Build, Inspire – Become a Web Design Pro in Weeks!

  • Build the skills companies expect from modern web designers.
  • Master UI/UX design, responsive web design, wireframing, and prototyping through hands-on projects.
  • Graduate with real-world design experience and a portfolio to confidently land web and UI/UX roles.

Just ₹1499/-  Actual ₹9999

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All-in-One Web Design Mastery!

Design, Build, Inspire – Become a Web Design Pro in Weeks!

  • Build the skills companies expect from modern web designers.
  • Master UI/UX design, responsive web design, wireframing, and prototyping through hands-on projects.
  • Graduate with real-world design experience and a portfolio to confidently land web and UI/UX roles.

Just ₹1499/-  Actual ₹9999

All-in-One Web Design Mastery!

Design, Build, Inspire – Become a Web Design Pro in Weeks!

  • Build the skills companies expect from modern web designers.
  • Master UI/UX design, responsive web design, wireframing, and prototyping through hands-on projects.
  • Graduate with real-world design experience and a portfolio to confidently land web and UI/UX roles.

Just ₹1499/-  Actual ₹9999

Web Design Bundle – Course Overview

The GUVI Web Design Bundle gives you complete access to a structured, end-to-end web design learning path. Master UI/UX Design, Responsive Web Design, Wireframing, Prototyping, Design Systems, and Real-World Projects. Learn at your own pace, build practical design skills, create a job-ready portfolio, and prepare for in-demand roles in web and UI/UX design.

Industry-Recognized Certification

100% Online & Self-Paced Learning

24/7 Dedicated Forum Support

Hands-On Projects & Portfolio-Based Learning

Lifetime Access to Courses

7-Day Refund Policy

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Please fill all the required fields!
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Web Design Bundle – Course Overview

The GUVI Web Design Bundle gives you complete access to a structured, end-to-end web design learning path. Master UI/UX Design, Responsive Web Design, Wireframing, Prototyping, Design Systems, and Real-World Projects. Learn at your own pace, build practical design skills, create a job-ready portfolio, and prepare for in-demand roles in web and UI/UX design.

Industry-Recognized Certification

100% Online & Self-Paced Learning

24/7 Dedicated Forum Support

Hands-On Projects & Portfolio-Based Learning

Lifetime Access to Courses

7-Day Refund Policy

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5K people registered already!

Name*
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  • Afghanistan(+93)
  • Antigua & Barbuda(+1 268)
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  • Albania(+355)
  • Armenia(+374)
  • Angola(+244)
  • Antarctica(+8)
  • Argentina(+54)
  • Samoa (American)(+1 684)
  • Austria(+43)
  • Australia(+61)
  • Aruba(+297)
  • Åland Islands(+358 18)
  • Azerbaijan(+994)
  • Bosnia & Herzegovina(+387)
  • Barbados(+1 246)
  • Bangladesh(+880)
  • Belgium(+32)
  • Burkina Faso(+226)
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  • Burundi(+257)
  • Benin(+229)
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  • Botswana(+267)
  • Belarus(+375)
  • Belize(+501)
  • Canada(+1)
  • Cocos (Keeling) Islands(+61)
  • Congo (Dem. Rep.)(+243)
  • Central African Rep.(+236)
  • Congo (Rep.)(+242)
  • Switzerland(+41)
  • Côte d'Ivoire(+225)
  • Cook Islands(+682)
  • Chile(+56)
  • Cameroon(+237)
  • China(+86)
  • Colombia(+57)
  • Costa Rica(+506)
  • Cuba(+53)
  • Cape Verde(+238)
  • Curaçao(+599)
  • Christmas Island(+61)
  • Cyprus(+357)
  • Czech Republic(+420)
  • Germany(+49)
  • Djibouti(+253)
  • Denmark(+45)
  • Dominica(+1 767)
  • Dominican Republic(+1 809)
  • Algeria(+213)
  • Ecuador(+593)
  • Estonia(+372)
  • Egypt(+20)
  • Western Sahara(+212)
  • Eritrea(+291)
  • Spain(+34)
  • Ethiopia(+251)
  • Finland(+358)
  • Fiji(+679)
  • Falkland Islands(+500)
  • Micronesia(+691)
  • Faroe Islands(+298)
  • France(+33)
  • Gabon(+241)
  • Britain (UK)(+44)
  • Grenada(+1 473)
  • Georgia(+995)
  • French Guiana(+594)
  • Guernsey(+44 1481)
  • Ghana(+233)
  • Gibraltar(+350)
  • Greenland(+299)
  • Gambia(+220)
  • Guinea(+224)
  • Guadeloupe(+590)
  • Equatorial Guinea(+240)
  • Greece(+30)
  • South Georgia & the South Sandwich Islands(+99)
  • Guatemala(+502)
  • Guam(+1 671)
  • Guinea-Bissau(+245)
  • Guyana(+592)
  • Hong Kong(+852)
  • Honduras(+504)
  • Croatia(+385)
  • Haiti(+509)
  • Hungary(+36)
  • Indonesia(+62)
  • Ireland(+353)
  • Israel(+972)
  • Isle of Man(+44 1624)
  • India(+91)
  • British Indian Ocean Territory(+246)
  • Iraq(+964)
  • Iran(+98)
  • Iceland(+354)
  • Italy(+39)
  • Jersey(+44 1534)
  • Jamaica(+1 876)
  • Jordan(+962)
  • Japan(+81)
  • Kenya(+254)
  • Kyrgyzstan(+996)
  • Cambodia(+855)
  • Kiribati(+686)
  • Comoros(+269)
  • St Kitts & Nevis(+1 869)
  • Korea (North)(+850)
  • Korea (South)(+82)
  • Kuwait(+965)
  • Cayman Islands(+1 345)
  • Kazakhstan(+7)
  • Laos(+856)
  • Lebanon(+961)
  • St Lucia(+1 758)
  • Liechtenstein(+423)
  • Sri Lanka(+94)
  • Liberia(+231)
  • Lesotho(+266)
  • Lithuania(+370)
  • Luxembourg(+352)
  • Latvia(+371)
  • Libya(+218)
  • Morocco(+212)
  • Monaco(+377)
  • Moldova(+373)
  • Montenegro(+382)
  • St Martin (French)(+590)
  • Madagascar(+261)
  • Marshall Islands(+692)
  • North Macedonia(+389)
  • Mali(+223)
  • Myanmar (Burma)(+95)
  • Mongolia(+976)
  • Macau(+853)
  • Northern Mariana Islands(+ 1 670)
  • Martinique(+596)
  • Mauritania(+222)
  • Montserrat(+1 664)
  • Malta(+356)
  • Mauritius(+230)
  • Maldives(+960)
  • Malawi(+265)
  • Mexico(+52)
  • Malaysia(+60)
  • Mozambique(+258)
  • Namibia(+264)
  • New Caledonia(+687)
  • Niger(+227)
  • Norfolk Island(+672)
  • Nigeria(+234)
  • Nicaragua(+505)
  • Netherlands(+31)
  • Norway(+47)
  • Nepal(+977)
  • Nauru(+674)
  • Niue(+683)
  • New Zealand(+64)
  • Oman(+968)
  • Panama(+507)
  • Peru(+51)
  • French Polynesia(+689)
  • Papua New Guinea(+675)
  • Philippines(+63)
  • Pakistan(+92)
  • Poland(+48)
  • St Pierre & Miquelon(+508)
  • Pitcairn(+870)
  • Puerto Rico(+1 787)
  • Palestine(+970)
  • Portugal(+351)
  • Palau(+680)
  • Paraguay(+595)
  • Qatar(+974)
  • Réunion(+262)
  • Romania(+40)
  • Serbia(+381)
  • Russia(+7)
  • Rwanda(+250)
  • Saudi Arabia(+966)
  • Solomon Islands(+677)
  • Seychelles(+248)
  • Sudan(+249)
  • Sweden(+46)
  • Singapore(+65)
  • St Helena(+290)
  • Slovenia(+386)
  • Svalbard & Jan Mayen(+47)
  • Slovakia(+421)
  • Sierra Leone(+232)
  • San Marino(+378)
  • Senegal(+221)
  • Somalia(+252)
  • Suriname(+597)
  • South Sudan(+211)
  • Sao Tome & Principe(+239)
  • El Salvador(+503)
  • St Maarten (Dutch)(+599)
  • Syria(+963)
  • Eswatini (Swaziland)(+268)
  • Turks & Caicos Is(+1 649)
  • Chad(+235)
  • French Southern Territories(+99)
  • Togo(+228)
  • Thailand(+66)
  • Tajikistan(+992)
  • Tokelau(+690)
  • East Timor(+670)
  • Turkmenistan(+993)
  • Tunisia(+216)
  • Tonga(+676)
  • Turkey(+90)
  • Trinidad & Tobago(+1 868)
  • Tuvalu(+688)
  • Taiwan(+886)
  • Tanzania(+255)
  • Ukraine(+380)
  • Uganda(+256)
  • US minor outlying islands(+1)
  • United States(+1)
  • Uruguay(+598)
  • Uzbekistan(+998)
  • Vatican City(+379)
  • St Vincent(+1 784)
  • Venezuela(+58)
  • Virgin Islands (UK)(+1 284)
  • Virgin Islands (US)(+1 340)
  • Vietnam(+84)
  • Vanuatu(+678)
  • Wallis & Futuna(+681)
  • Samoa (western)(+685)
  • Yemen(+967)
  • Mayotte(+262)
  • South Africa(+27)
  • Zambia(+260)
  • Zimbabwe(+263)
Please fill all the required fields!
Please accept terms and conditions to proceed

Who is This Course Perfect For

Students

Who want to learn tech early, build strong fundamentals, and earn certificates that add weight to their resume.

Freshers

Who need job-ready skills, projects, and a portfolio to stand out during placement drives and interviews.

Working Professionals

Who are looking for a salary hike, skill upgrade, or career growth by mastering in-demand technologies.

Career Switchers

From both tech and non-tech backgrounds who want to transition into a high-growth tech career with practical, industry-aligned learning.

We are accredited by 

Get your Web Design Bundle now for just

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Web Design Bundle Curriculum

What You Will Learn in the Web Design Bundle

Design Guidelines using Figma

4 Modules | 4 Hours

UX Fundamentals course

4 Modules | 9 Hours

Mastering Figma - Beginner to Expert

4 Modules | 8 Hours

UI Fundamentals for Browser

4 Modules | 5 Hours

Get Access to Top AI & ML Courses with Industry-Recognized Certifications

 ₹9,999  → ₹999   You Save ₹9,000!

Limited Period Offer 

Earn Industry-Recognized Certificates

Each time you complete a course in the AI & ML Bundle, you’ll receive a professional certificate issued by HCL GUVI. All certificates are ISO-certified, globally recognized, and shareable on LinkedIn and resumes, helping you showcase your skills, strengthen your profile, and stand out to recruiters.

Earn Industry-Recognized Certificates

Each time you complete a course, you’ll receive a professional certificate issued by HCL GUVI (an IIT-M & IIM-A incubated EdTech company). All certificates are ISO-certified, industry-recognized, and easily shareable on LinkedIn and in your resume, helping you enhance your profile and stand out to recruiters.

Industry-Recognized Credentials

Get certificates that are valued by recruiters and tech companies.

Shareable on LinkedIn

Add every completed-course certificate to LinkedIn and impress potential employers with consistent growth.

Proof of Real Skills

Every certificate reflects practical knowledge and tools you’ve mastered — evidence of real, job-ready skills.

Resume-Ready Format

Download each certificate instantly and attach it to job applications, portfolios, and resumes effortlessly.

Earn Industry-Recognized Certificates

Each time you complete a course in the Web Design Bundle, you’ll receive a professional certificate issued by HCL GUVI (an IIT-M & IIM-A incubated EdTech company). All certificates are ISO-certified, globally recognized, and shareable on LinkedIn and resumes, helping you showcase your design skills, boost your profile, and stand out to recruiters.

Industry-Recognized Credentials

Get certificates that are valued by recruiters and design companies.

Shareable on LinkedIn

Add every completed-course certificate to LinkedIn and impress potential employers with consistent growth.

Proof of Real Skills

Every certificate reflects practical design knowledge and tools you’ve mastered — evidence of job-ready UI/UX and web design skills.

Resume-Ready Format

Download each certificate instantly and attach it to job applications, portfolios, and resumes effortlessly.

Certify Your Skills with the Premium Pass

Bonus Features You Get

CodeKata

An interactive coding platform with 1500+ curated problems by IT experts. CodeKata tracks your progress and builds a coding profile to highlight your skills for job opportunities.

WebKata

WebKata is a developing practice platform for beginners, built with top-notch web development problem statements focusing on Modern HTML, CSS, and JavaScript. 

SQLKata

SQLKata is a hands-on tool to master SQL through concept-driven exercises. It builds skills in query writing, optimization, and real-world database management.

Debugging

Debugging a series of programs curated by industry experts. Practicing debugging will help you get started and become familiar with programming. 

What Our Learners Say

Real Stories. Real Outcomes.

"You will be lucky to find quality courses on HCL GUVI. I must say that I was really lucky to get courses at such a low and discounted price. I got more than 9 hours of video and around 20 more resources to gain knowledge of programming. HCL GUVI provides a wide variety of courses both technical and non-technical. I suggest HCL GUVI is the best choice."

IT Analyst

"What makes HCL GUVI different is that it provides vernacular courses which make it easy to understand & practice platforms like CodeKata & WebKata, all these helped me improve my practical programming skills in the front end, back end. I highly recommend it if you want to get started with something new."

Software Developer

"I have opted for a combo-course that starts with the basics of the popular technologies and made me a pro in its domain... Codekata is very damn helpful to crack placements because it improved my efficiency in coding... we just need to be persistent and that’s all it takes. I am very happy to encounter HCL GUVI!"

Web Developer

Frequently Asked Questions

What do I actually get with this bundle?

You’ll get full access to all our Web Design courses — from UI/UX Design, Responsive Web Design, Wireframing, Prototyping, to Real-World Projects. Every course comes with hands-on projects, expert guidance, and certificates when you finish.

Do I have to pay every month?

Nope! It’s a one-time payment of ₹1,499. No hidden or recurring fees.

How long can I access the courses?

You’ll have lifetime access — learn at your own pace, anytime, anywhere.

Will I get certificates?

Yes! Every course you complete gives you a globally recognized certificate you can showcase on LinkedIn or your resume.

Are the lessons live or pre-recorded?

All lessons are pre-recorded, so you can study whenever it fits your schedule — mornings, evenings, or weekends.

Will I get to practice what I learn?

Absolutely. The bundle includes hands-on projects, portfolio-building exercises, and real-world web design challenges so you can actually apply your skills.

What if I’m not happy with the bundle?

No problem! There’s a 7-day money-back guarantee. If it’s not right for you, just request a refund within the first week.

Special Offer — Limited Time Only!

Get unlimited access to 600+ Premium Tech Courses for just 

₹1,999  (original price  ₹50,000) 

Save 80% and learn the most in-demand skills that can fast-track your tech career!

Limited Period Offer

Republic Day Offer — Limited Time Only!

Get unlimited access to the complete AI & ML Bundle for just

₹999 (original price ₹9,999)!

Limited Period Offer

Special Offer — Limited Time Only!

 Get unlimited access to the complete Web Design Bundle

₹1,499 (original price ₹9,999)!

Limited Period Offer

Special Offer — Limited Time Only!

Get unlimited access to 600+ Premium Tech Courses for just 

₹1,999  (original price  ₹50,000) 

Save 80% and learn the most in-demand skills that can fast-track your tech career!

Limited Period Offer

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Become a Web Design Pro in Weeks!

Introduction to Machine Learning Syllabus:
Beginner Module
  • Introduction to Machine Learning
  • Types of ML- Supervised Learning
  • Types of ML- Unsupervised Learning
  • Types of ML - Reinforcement Learning
Intermediate Module
  • Data Handling in ML - Introduction
  • Data Handling in ML - Data Cleaning
  • Supervised Learning - Linear Regression
  • Supervised Learning - Decision Tree & Ensemble Methods
Advanced Module
  • Unsupervised Learning - Clustering
  • Unsupervised Learning - Association
  • Unsupervised Learning - PCA
  • Model Evaluation
Expert Module
  • Case Study- 1 E-Commerce Recommendation
  • Case Study- 2 Heart Disease Prediction
  • Case Study- 3 Finance Fraud Detection
  • Introduction to Generative AI
  • Advanced Topics - Transfer Learning
  • Advanced Topics - AutoML

Practical Machine Learning Syllabus:

Beginner Module
  • Course Intro
  • Machine Learning Refresher - Intro, Types & Applications
  • Machine Learning Refresher - Linear Regression
  • Machine Learning Refresher - Logistic Regression
  • Machine Learning Project LifeCycle
  • ML Model Training Process
  • Training a Classification Task - Python Implementation
  • Gradient Descent - Error Surfaces
  • Gradient Descent - Computation Graphs
  • Gradient Descent - Algorithm, Geometric Intuition
Intermediate Module
  • Gradient Descent - Implementation for Linear Regression
  • Gradient Descent - Importance of Learning Rate
  • Gradient Descent - Common terminology & Hyperparameters
  • Gradient Descent - Types
  • Python Implementation of end-to-end ML Model Training
  • Common Issues during Training & Methods to tackle - 1
  • Common Issues during Training & Methods to tackle - 2
  • Bias-Variance Tradeoff
  • Data Augmentation, Cross-Validation & Regularization
  • Early Stopping Method & Implementation
Advanced Module
  • L1 & L2 Regularization Methods
  • Implementation showing the effects of Regularization
  • Properties A Loss Function Should Have
  • Standard Loss functions for Classification
  • Standard Loss functions for Regression
  • Python Implementation of Loss Functions
  • Evaluation of Trained Machine Learning Model
  • Evaluation Metrics for Regression Tasks
  • Classification Metrics - Accuracy, Confusion Matrix
  • Precision, Recall, F1-score & others
Expert Module
  • Python Implementation of Evaluation Metrics
  • Exploratory Data Analysis (EDA)
  • Feature Engineering - Intro & Significance
  • EDA and Feature Engineering in Python - Part 1
  • EDA and Feature Engineering in Python - Part 2
  • EDA and Feature Engineering in Python - Part 3
  • Curse of Dimensionality
  • Dimensionality Reduction & PCA Intro
  • Principal Component Analysis - Foundations
  • Principal Component Analysis - Calculation with Example
  • PCA demo on MNIST dataset
  • K-Nearest Neighbors Algorithm
  • KNN Implementation from scratch
Natural Language Processing Using Python Syllabus:
Beginner Module
  • What is NLP?
  • Bag of words, Tokenization and Stopwords
  • Stemming & Lemmatization
  • N gram and Smoothing Techniques
  • POS Tagging
Intermediate Module
  • NER Recognition
  • Details on TF-IDF
  • How to build TF-IDF from scratch?
  • Regular Expressions
  • Examples with Regex
  • Word2vec
  • GloVe Embedding
  • Text Feature Extraction
  • Using Scikit Learn for Classification
Advanced Module
  • Overview
  • LDA on Text Document
  • Non-Negative Matrix Factorization & Evaluation Metrics
  • Explaining RNN & LSTM
  • CNN
  • Keras Classification
  • Sentiment Analysis Theory
Expert Module
  • Probability Based Language Models
  • Language Model for Text Generation & Applications
  • Conditional Text Generation & Evaluation Metrics
  • Vector Space Models
  • Evaluation Metrics and Applications of ie
  • Project Guided Session - Sentiment Analysis
  • Project Guided Session - Topic Modeling
  • Project Guided Session - Spam Detection
AI Fundamentals Syllabus:
Beginner Module
  • Course Introduction
  • Descriptive Statistics
  • Levels of Data
  • Measures of Variability
  • Quartiles
  • Outlier
  • Probabilities
Intermediate Module
  • Introduction to AI
  • Domains of AI
  • AI Life cycle
Advanced Module
  • Introduction to ML
  • Supervised learning
  • Unsupervised learning
  • Evaluation of algorithms
Expert Module
  • Introduction to NLP
  • Steps of NLP
  • TF-Idf
  • Introduction to Computer Vision
  • Introduction to ANN
  • Introduction to CNN
  • CNN Operations
Deep Learning Fundamentals Syllabus:
Beginner Module
  • Intro to Deep Learning
  • History of Deep Learning
  • Types of NN, Applications
  • Environment Setup, colab & Kaggle Intro
Intermediate Module
  • Intro and Perceptron Model
  • Coding Perceptron - Python, Numpy, Tensorflow
  • Multi-Layer Perceptrons - Coding a single layer
  • Coding a Multi-layer Perceptron, Learnable Parameters
  • Intuition on Neural Networks Working
  • Neural Networks Demo using playground
  • Activation Functions - Need & Properties
  • Activation Functions - Types & Implementation
Advanced Module
  • Training Process of Neural Network
  • Loss Functions - Classification & Regression
  • Gradient Descent Algorithm
  • Backpropagation for Single Neuron & Layer
  • Backpropagation for Multi-layer Network
  • Common Concepts in Training Process
  • Optimizers Evolution - SGD to Adam
Expert Module
  • Project on Regression using Tensorflow
  • Project on Image Classification using Tensorflow
Deep Learning with TensorFlow Syllabus:
Beginner Module
  • Why Tensorflow?
  • Tensorflow - Tensor Basics 1
  • Tensorflow - Tensor Basics 2
  • Tensorflow - GPUs, Numpy Compatibility
  • Tensorflow - Data Pipelines 1
  • Tensorflow - Data Pipelines 2
Intermediate Module
  • Neural Networks Demo using playground
  • Model building using Keras Sequential API
  • Model building using Functional API & Subclassing
  • NN Model Lifecycle with Tensorflow
  • Project on Regression using Tensorflow
  • Tensorboard Visualization Tool
Advanced Module
  • Common Concepts in Training Process
  • Project on Image Classification using Tensorflow
  • GradientTape & tf.function()
  • Custom Training Loop Implementation
  • Issues while Training Neural Networks
  • Demonstration of Underfitting & Overfitting
Expert Module
  • Vanishing Gradient Problem
  • Regularization & Dropout
  • Batch Normalization
  • Early Stopping in Training
  • Transfer Learning & Finetuning in Neural Networks

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Virtual AI Assistant Powered by GPT3 API & Python Syllabus:
Beginner Module
  • Development Environment Setup Windows
  • Development Environment Setup MAC
  • Text To Speech Basics
  • Text to Speech CMD
  • Time Function
  • Date Function
Intermediate Module
  • Greeting Function
  • Wishme Function
  • TakeCommandCMD Function
  • TakeCommandMIC Function
  • Send Email - 1
  • Send Email - 2
Advanced Module
  • Search on Wikipedia
  • Search on Google
  • Search on YouTube
  • Weather Updates Function
  • News Updates Function
  • Wake Word Detection (NLP)
Expert Module
  • What is GPT-3 API
  • GPT 3 API Access
  • GPT 3 API Pricing
  • How to use GPT-3 API With Python Code
  • Adding 300+ Voices
  • GPT3 Powered AGI Voice Assistant
  • GPT - 3 Integration With New Voices
Vertex AI Syllabus:
Beginner Module
  • Course Introduction
  • How to create datasets using different types of data?
  • Types of Models - Tabular Data
  • Types of Models - Video Data
  • Building and training models in Vertex AI
  • Introduction to AutoML
  • Hands on - Training Model
  • Building and annotating models
  • Annotating a Dataset
  • Labelling Data
Intermediate Module
  • Introduction to Feature Store
  • Feature Store - Data Retention
  • Featurestore
  • Introduction to MLOps and Vertex Pipelines
  • MLops Steps - 1
  • MLops Steps - 2
  • MLops Levels
Advanced Module
  • Hyperparameter Tuning on Vertex AI
  • Examples
  • Tuning the hyperparameters
  • How to build object detection model and annotate the model?
  • Creation of Dataset
  • Training the model
  • Evaluating the model
  • How to create Workbench, write and run the code?
  • Types of Notebooks- Managed Notebooks
  • Types of Notebooks- User-managed Notebooks
  • How to use Cloud Storage in Vertex AI?
  • Types of Cloud Storage
  • Securing the data
  • Buckets
Expert Module
  • Using workbench accessing the Cloud Storage
  • Creation of Notebook - Part 1
  • Creation of Notebook - Part 2
  • Creation of Buckets
  • How to deploy the model?
  • Image Classification Model
  • Other Models
  • How to build image classification model in Vertex AI?
  • Evaluating a model
  • Predictions
Generative AI Syllabus:
Beginner Module
  • Introduction to Generative AI
  • Course Introduction
  • Generative AI Applications
  • Gen AI in Natural Language Processing
  • Transformer Architecture in Detail
  • Gen AI Model Architectures
Intermediate Module
  • Generative AI Model Training Process
  • OpenAI Models and APIs
  • Prompt Engineering
  • Building Application with OpenAI API
Advanced Module
  • Building Application with OSS Models
  • Finetuning an LLM and drawbacks
  • RAG Pipeline in Detail
  • Components of RAG
Expert Module
  • Project: Building a Medical Chatbot - Intro
  • Project: Documents preprocessing and Chunking
  • Project: Creating Embeddings and Vector Store
  • Project: End to End Medical Chatbot
LangChain Syllabus:
Beginner Module
  • Introduction
  • What is LangChain?
  • Why use LangChain?
  • Features of LangChain
  • Development Environment Setup Windows
  • Development Environment Setup Mac
  • Creating and Running a Workflow
  • Components of LangChain
  • Chatbot
  • Website Summarization App
  • Milestone Project : ChatToPDF
Scikit-Learn for Machine Learning Part-1 Syllabus:
Beginner Module
  • Introduction to scikit-learn for machine learning
  • Preprocessing & Pipelines (Advanced): Preprocessing Data
  • Preprocessing & Pipelines (Advanced): Preprocessing Data - Practical 1
  • Preprocessing & Pipelines (Advanced): Preprocessing Data - Practical 2
Intermediate Module
  • Preprocessing & Pipelines (Advanced): Handling Missing Data
  • Preprocessing & Pipelines (Advanced): Handling Missing Data - Practical
  • Classification: Supervised learning workflow
  • Classification: Binary Classification(Log Reg)
Advanced Module
  • Classification: k-Nearest Neighbors - 1
  • Practical(Classification: k-Nearest Neighbors) - 2
  • Classification : DT and Ensemble Learnings
  • Classification : DT and Ensemble Learnings - Practical
Expert Module
  • Hyperparameter Tuning
  • Hyperparameter Tuning - Practical
  • Conclusion
Design Guidelines using Figma Syllabus:
Beginner Module
  • Design Systems in Figma
  • Foundations of a design system
  • Benefits of a design system
  • Outputs and deliverables of a design system
  • How is a design system utilized?
  • Purpose statement in a design system
  • Principles of a design system
  • Steps to build a design system
  • Building a UI inventory
  • Components in a design system
  • Hierarchy of components
  • Tokens and nomenclature
  • Theming
  • Typography
  • Colors
  • Spacing
  • Shadows and blurs
  • Icons and logos
  • Buttons and Button Groups
  • Badges and tags
  • Inputs
  • Selects & Dropdowns
  • Switches
  • Checkboxes
  • Radio
  • Progress Indicators
  • Snackbars
  • Comment
Intermediate Module
  • Avatars
  • Tooltips
  • Sliders
  • Breadcrumbs
  • Tabs
  • Swaps
  • Navigation and page header
  • Sidebar menu
  • Pagination
  • Table
  • Card
  • Steps
  • Modals
  • Calendar and Date Picker
  • Date and Time Picker
Advanced Module
  • Drawer
  • Upload
  • Carousel
  • Tree Select
  • Collapse
  • Creating a page with the design system
UX Fundamentals Syllabus:
Beginner Module
  • What is UX
  • Design Thinking Process
  • Common Psychology - 1
  • Common Psychology - 2
Intermediate Module
  • Common Psychology - 3
  • Research Intro & Types
  • Research Types Explain
  • Conducting Research-1
  • Conducting Research - 2
  • Conducting Research-3
  • Analyse
  • Persona Building
  • Empathy mapping
  • Journey mapping
Advanced Module
  • Ideation techniques
  • Flow diagram (Theory)
  • Flow diagram (Practical)
  • Navigation Design
  • Wireframing Basics
  • Wireframe for Mobile -1
  • Wireframe for Mobile -2
  • Wireframe for Mobile -3
  • Wireframe for Desktop
  • Color theory
  • Typography basics
  • Figma Basics
Expert Module
  • UI design mobile-1
  • UI design mobile-2
  • UI design Desktop &
  • Prototype Basics
  • The importance of usability testing
  • Types of Usability test & Heuristics
  • How to conduct usability test
  • Analyzing UT and Design Handoff
Mastering Figma - Beginner to Expert
Beginner Module
  • Your Figma Account
  • Figma vs FigJam
  • Figma Desktop App & Mobile App
  • Figma Pricing
  • Toolbar & Tools
  • Pages, Layers & Frames
  • Right Sidebar (Design, Prototype & Inspect)
Intermediate Module
  • Shape Tools
  • Text & Typography
  • Constraints
  • Pen & Pencil Tools
  • Gradients
  • Image Manipulation
  • Strokes & Rounded Corners
  • Effects
  • Boolean Operations & Masks
  • Layout Grids
Advanced Module
  • Creating Your First Prototype
  • Interaction Types
  • Scroll Behaviours
  • Prototype Settings
Expert Module
  • Basics of Auto Layout
  • Basics of Components
  • Figma Plugins To Speed Up Your Workflow
  • Exporting Your Designs
  • Sharing Your Design File & Prototype
  • Capstone Project
UI Fundamentals for Browser
Beginner Module
  • What is UI (User Interface)
  • Fundamentals of Design
  • Navigation
  • UI Principles
  • Grid Lines
  • Introduction to web
  • Browser Wars
  • DOM tree, CSSOM tree Part 1
  • DOM tree, CSSOM tree Part 2
  • Browser internals Part 1
  • Browser Internals Part 2
  • Browser Internals Part 3
Intermediate Module
  • Layout engine or rendering engine JavaScript
  • V8 engine internals
  • Browser JS vs Node JS
  • IP – MAC address – Ports
  • Evolution of HTTP
  • How the Server looks at the URL
  • Request & Response cycle
  • HTML Browser view - Debugger, Inspect, Responsive View
  • JavaScript Data types Part 1
  • JavaScript Data types Part 2
  • JavaScript Data types Part 3
  • JavaScript Data types Part 4
Advanced Module
  • Copy by value and Copy by reference
  • Window & document object
  • Array and JSON iteration
  • XML HTTP Request
  • Hoisting & scope
  • Function & Return Keyword
  • Types of Function
  • MRF - Array Method 1
  • MRF - Array Method 2
  • Error Handling
  • ES5 vs ES6
  • Object-oriented programming Part 1
  • Object-oriented programming Part 2
  • Object-oriented programming Part 3
  • this keyword
  • Rest & Spread operator
Expert Module
  • Array & Object Destructuring Part 1
  • Array & object destructuring Part 2
  • Arrow Functions
  • Variables in JS Part 1
  • Variables in JS Part 2
  • Arrays in JS
  • Objects in JS
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