img
Learn from Industry Experts
img
Weekdays / Weekend batches available
img
Get 100% placement assistance
img
Special batches for job seekers

Students

10000+ Students Trained

Placement

100% Placement Assistance

Start Date

16-Sep-2024

Program Details

Master the art of creating innovative solutions and generating valuable insights, all from the convenience of an online platform. Elevate your Data Science skills and unlock endless possibilities with our comprehensive course.
Adopting AI is no longer a choice, it's a necessity. Regardless of your field, AI skills are crucial to stay competitive. Our mentorship program helps you transform into an AI Engineer, boosting your career prospects and problem-solving skills.
Learn from industry experts and work on real-world projects to gain hands-on experience.

Our program offers:
- Expert mentorship
- Hands-on experience
- Community support
- Latest AI trends and tools

Upgrade your skills, upgrade your career, and upgrade your future with AI. Join now and stay ahead of the curve!"

Key Features of the Course
  • Learn from Industry Experts
  • Weekdays batches available for working professionals and college going students
  • Weekend batches available for working professional
  • Get 100% placement assistance
  • Get classes as per your availability
  • Special batches for job seekers
Syllabus

  • Introduction to jupyter Notebook
  • Getting started with Da
  • Unix Introduction

  • Python Basics
  • Python Introduction
  • Python Data Structure: Lists and Arrays
  • Python : Conditions and Branching
  • Python : Functions and Methods
  • Python: Objects and Classes
  • Practice Questions in Python
  • Introduction to NumPy
  • Linear Algebra in NumPy
  • Seaborn, Matplotlib
  • Project 1 : Satellite Image Data Analysis using NumPy
  • Introduction to Pandas

  • Introduction to Probability
  • Probability Distributions
  • Describing Distributions
  • Probability Distribution with Multiple Variables
  • Population and Sample
  • Point Estimate
  • Confidence Interval
  • Hypothesis Testing
  • A/B Testing

  • Derivatives
  • Optimization
  • Gradients
  • Gradient Descent
  • Optimization in Neural Networks Newton Methods

  • System of Linear Equations
  • Elimination Method
  • Row and Row Reduced Echelon form Vector Algebra
  • Linear Transformation
  • Determinants
  • Eigen Values of Eigen Vectors

  • Array
  • String
  • Linked List
  • Searching Algorithm
  • Sorting Algorithm
  • Divide and Conquer Acqu
  • Stack
  • Queue
  • Tree Data Structures
  • Graph Data Structures
  • Dynamic Program

  • Data Acquisition
  • Data Wrangling
  • Data Statistical Analysis, Grouping and Correlation
  • Model Development
  • Model Evaluation and Refinement
  • Getting started in scikit-learn with the famous iris dataset
  • Training a Machine Learning Model with scikit-learn
  • Comparing Machine Learning Models in scikit-learn
  • Data Science Pipeline: Pandas, Seaborn, and scikit-learn
  • Data Science Pipeline: Pandas, Seaborn, and scikit-learn
  • Cross-validation for Parameter Tuning, Model Selection, and Feature Selection
  • Data Science Pipeline: Pandas, Seaborn, and scikit-learn
  • Efficiently Searching for Optimal Tuning Parameters
  • Evaluating a Classification Model: Confusion Matrix and ROC

  • Basic Plotting for Data Visualisation
  • Data Manipulation for Visualisation
  • 1D Data Analysis: Histograms, Boxplots, and Violin Plots
  • Proiect 2: Visualization of world GDP and carbon dioxide emission
  • Project 3: Using Folium Library for Geographic Overlays

  • Introduction to Power-Bi
  • Data Extraction Process
  • Data Transformations
  • Data Modeling and DAX
  • Data Visualization with Analytics
  • Power-Bi, Q&A & Data Insights

  • Simple Linear Regression
  • Multiple Linear Regression
  • NonLinear Regression
  • Regression Methods
  • Ridge Regression and Lasso Regression
  • Linear Regression and Decision Tree Regression
  • Random Forest Regression
  • Random Forest Classification
  • Decision Tree Classification
  • Boosting Algorithms
  • Bagging
  • K- Nearest Neighbours Classification
  • Naive Bayes Classification
  • K-Means Clustering
  • Hierarchical Clustering
  • K-Means and Hierarchical Clustering on the same dataset
  • Density-Based Spatial Clustering of Applications with Noise (DB-SCAN)
  • Support Vector Machines & Regression
  • Principal Component Analysis (PCA)
  • Applying Principal Component Analysis on Handwritten Digits Dataset
  • Market Basket Analysis

  • Evaluate the speed, runtime and memory dependencies of algorithmic models
  • Parallel computing systems such as SISD (Single Instruction SingleData Stream)
  • SIM (Single Instruction Multiple Data Streams)
  • MISD (Multiplelnstructions Single Data Stream)
  • MID (Multiple Instructions Multiple DataStreams)
  • How to use coding tools
  • Create, review and execute unit test cases
  • Corrective and Preventive actions for problems and defects can improve future designs
  • Measure and Optimize performance of the algorithm
  • Deployment of the Models

  • RDBMS Principals
  • Install a DB Engine
  • SQL syntax and Data types
  • Operators, Expressions, Comments
  • Data Definition Language (DDL)
  • Data Manipulation Language (DML)
  • Grant and Revoke
  • SQL Functions (Sum, Count, Avg etc)
  • Joins (self, left, right, full outer)
  • Queries and Sub Queries
  • SQL Clauses
  • SOL Window functions
  • SQL Real-time examples
  • SQL live Practice Session

  • Part 1: Introduction
  • Introduction to deep learning
  • The brief history of deep learning
  • Single-layer neural networks: The perceptron algorithm
  • Mathematical and computational foundations
  • Linear algebra and calculus for deep learning
  • Parameter optimization with gradient descent
  • Automatic differentiation with PyTorch
  • Cluster and cloud computing resources
  • Introduction to neural networks
  • Multinomial logistic regression / So max regression
  • Multilayer perceptrons and backpropagation
  • Regularization to avoid overfitting
  • Input normalization and weight initialization
  • Learning rates and advanced optimization algorithms
  • Deep learning for computer vision and language modeling

  • Introduction to Foundation Models
  • The architecture of GPT-X Version
  • Transformers Architecture in Detail Prompt Engineering
  • Open Source (LLM'S)
  • Fine - Tuning open - AI models
  • TEXT, Image, Audio Processing using Gen - AI

  • ChatGPT
  • Llama 2
  • PALM 2
  • Mid Journey Images, DALL - E3
  • Mistral - 7B
  • Azure open AI
  • Gemini AI
  • Project: Chatbots Specific to Domain

  • Train your own LLM from Scratch like GPT-3.5 Develop your own ChatGPT from Scratch
  • Develop your own LLM application using Prompt Engineering RAG
  • Stable Diffusion Models

  • Intro to MLOps
  • Experiment Tracking in MLOps Orchestration
  • Deployment
  • Monitoring
  • Best Practices
  • Project
Mentors

We handpick subject-matter experts for video lectures and live sessions.

img
Shivam Bhatiya
Data Analyst
8+ Years of Experience

Shivam Bhatiya is a Data Scientist. He is certified in AWS, Azure, and Artificial Intelligence. He has trained in many IITs for M.Tech Students.

5
20000 students
img
Lokesh Ranjan
Data Scientist
5 Years of Experience

Lokesh Ranjan is a renowned mentor and trainer in Data Science and Generative AI, bringing a wealth of experience and expertise to the WiFi Learning training program. Known for his innovative teaching methods and deep understanding of AI technologies, Lokesh is dedicated to empowering learners to excel in this transformative field. His involvement in the program highlights his passion for education and his commitment to cultivating the skills of future data science professionals.

5
100 students
img
Amith Ashokan
Sr. Corporate Trainer
21+ of Experience

Mr. Amith Ashokan is a Multi-skilled Consultant possesses a proven record of 21+ years in the field of training and consulting . He is a certified trainer from Microsoft, Adobe, IBM and SAFe . His expertise are Python, Machine Learning, Gen AI, Cloud Technology(GCP,AWS,Azure), Blockchain and Cyber Security. He has delivered 300+ corporate Training and trained 7000+ professionals .

5
7000 students
...

FEE:

Online Virtual Class Room

Enroll in any above batch and attend live class at scheduled time

42000

Enroll Now

Upcoming Batches


16-Sep-2024
7:00 AM
Weekdays Batch
Apply 42000
28-Sep-2024
8:00 PM
Weekend Batch (2 Hours Sat & Sun)
Apply ₹42000 ₹33600 (20% OFF)
Offer Ends in 10 d: 0h : : 57s

Learning Methodology

Our Learning Methdology is different from others. We focus on every aspect from start to end.

img

Step 1

Enroll yourself by paying registration fee

img

Step 2

Learn into live classes with your dedicated mentors

img

Step 3

Solve quizzes & practice Sets

img

Step 4

Resume Building & Interview Preparation

img

Step 5

Get Placed

Industry Recognized Certification

Wifi Learning is a authorized certiport training center also we are Microsoft testing partner. You will get industry recognized certificates.

Success Stories of our Alumni

Find alumni profiles and know more about their career path, specialisation and more!

Mar-10-2024

Mr. Mukul

Mr. Mukul was working as a MIS Executive since a long time but his goal was to make his career as a Data Analyst. Due to limited skill sets he was not able to get opportunity. He came to know about Wifi Learning and it’s Data Analytics program through his friend. He joined this program and just after completion of his training, he got placed in Infosys at 20 LPA.

Mar-10-2024

Ms. Bindu

Ms. Bindu was working in Wonderman Thompson at gurgaon location due to some personal reasons she had been trying to relocate to Chennai location but due to market recession and all she could not get any opportunity. She joined our Data Analytics training program in February 2023. Even her training was not completed and she got a very good opportunity in IQ India at her preferred location Chennai with the salary package of 18 LPA.

May-26-2024

Dipti Sharma

Dipti Sharma, a recent graduate of the Digital Marketing program at WiFi Learning, has successfully transitioned into the professional world as an SEO specialist. Her comprehensive training in digital marketing equipped her with essential skills in search engine optimization, content creation, and data analytics. Dipti's dedication and proficiency were quickly recognized, leading to her current role where she leverages her expertise to enhance online visibility and drive organic traffic for her company. Her journey is a testament to the effectiveness of WiFi Learning's programs in preparing students for thriving careers in the digital marketing landscape.

Jun-01-2024

Rahul Prakash

Rahul Prakash is a dedicated and ambitious individual who recently transitioned from a college student to a working professional. Rahul landed a job as a data scientist at a leading tech company. His journey with Wifi Learning had opened doors he hadn't imagined possible.

Hear From
Wifi Learning's Alumini's
Mr Amit Bhardwaj
Mr. Mukesh Kumar
Mr. Mukul

Application Process

There are 3 simple steps in the Application Process which are detailed below:

Step 1
Submit an application

Complete the application and include a brief statement of purpose. The latter informs our admission counseller why you're interested and qualified for the program.

Step 2
Application Review

A panel of admission counseller will review your application and statement of purpose to determine whether you qualify for acceptance

Step 3
Admission

An offer of admission will be made to qualified candidates, you can accept this offer by paying the program fee.

Our Google Reviews

We are delighted to share our recent Google review, which serves as a testament to the exceptional experiences we provide to our valued customers. This glowing review reflects the dedication and hard work of our entire team. Our commitment to delivering top-notch products/services and outstanding customer service is truly paying off, as evidenced by the kind words and five-star rating we received.

Reach Out to Us

  • If you want Training from Industry Experts
  • For corporate training
  • To hire our candidates
  • For empanelment as a trainer

Corporate Training Partners

img

Times group is a leading brand in the field of Skills enhancement for corporate in IT and Non IT domain. Wifi learning has been associated with it since last 3 years and served for many corporate.

img

Futurense is a company which works on Get Hired, Trained and deployed with fortune 500. We have been continuously working for futurense for various domain specially IT Domain.

img

Jain University is a private deemed university in Bengaluru, India. Originating from Sri Bhagawan Mahaveer Jain College, it was conferred the deemed-to-be-university status in 2009. Wifi learning has been associated with it since 2020 and has been serving for B.Tch and MBA candidates.

img

SBI Cards & Payment Services Ltd., previously known as SBI Cards & Payment Services Private Limited, is a credit card company and payment provider in India. SBI Card launched in October 1998 by State Bank of India

Our Alumni Work At

Top agencies and brands across the globe have recruited Wifi Learning Alumni.