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Complete Data Science, AI & ML Course

Master Industry-Relevant Skills for a Successful Career

Are you ready to upskill in Data Science, Artificial Intelligence, and Machine Learning and build a strong foundation for a thriving career? Our comprehensive course is designed to equip you with the latest industry tools and techniques, ensuring you stay ahead in the competitive job market.

  • 175 +

    Hours of Live Sessions

  • 24x7

    Doubt Solving Support

  • 4 Days a Week

    9 PM to 11 PM IST

  • Live + Recorded Sessions – Learn at your own pace with interactive live classes and access to recorded lectures.
  • 24/7 Doubt Solving – Get instant solutions to your queries anytime through our dedicated support system.
  • 1:1 Mentorship Support – Personalized guidance from industry experts to help you master data science..
  • 95 % Placement Assistance – Dedicated career support to land top jobs in Data science AI & ML.
  • Real-World Projects – Work on industry-relevant projects to gain practical experience.
  • Learn 15+ Essential Tools & Technologies – Master key tools like Python, Tensorflow, Keras, AWS & Docker.
  • ISO Certified Professional Certificate – Boost your resume with an internationally recognized certification.
  • On-Job Support – Get expert guidance even after placement to excel in your role.

Master Industry-Leading Tools For Data Science, AI & ML

Gain expertise in cutting-edge tools essential for Data Science, AI & Machine Learning. This program equips you with the skills to analyze data, build AI models, and deploy scalable solutions using industry-leading technologies.

  • Python & SQL – Data manipulation, querying, and analysis
  • Apache Spark & Hadoop – Big data processing and distributed computing
  • Scikit-learn & TensorFlow – Machine learning and deep learning model development
  • Power BI – Data visualization and business intelligence
  • Apache Kafka – Real-time data streaming and processing
  • AWS – Cloud computing and scalable data solutions
  • Kubernetes & Docker – Model deployment and containerization

Unlock Your Data Science, AI & ML Journey Today!

Thinking about a future in Data Science, Artificial Intelligence, and Machine Learning? Whether you're exploring career options, searching for the right course, or curious about how AI and data are transforming industries, we're here to guide you. Fill out the form, and we’ll connect with you at your convenience.

  • Instant Support
  • Personalized Course Guidance
  • Hassle-Free Enrollment & Payment Assistance
  • Career Roadmap & Insights

Get in Touch – Just Fill Out the Form!

Hear It from Our Students – Their Success Speaks for Itself!

Learn from Industry Experts with Personalized Online Mentorship

Neha Kapoor

ML Engineer

120% Hike

"Machine learning was like a nightmare for me. I tried so many times to understand neural networks but nothing made sense. This course literally changed that! Now, I can actually build ML models on my own. Wish I had found this sooner!"

Harshit Agarwal

Data Scientist

70% Hike

"Never thought I’d go from struggling with Python loops to actually working on AI projects. The hands-on part is what made all the difference. TensorFlow and Scikit-Learn did not feel scary at all once I started applying them to real problems!"

Shivani Singh

Associate Data Scientist

60% Hike

"AI & ML always sounded so complicated to me, like something only geniuses could do. But this course made it all make sense, step by step. Now, I actually feel confident in my skills. Can’t wait to use them in real projects!"

Vidhi Saraswat

Cloud Associate

120% Hike

"Learning AWS, Docker, and Terraform was a game-changer! Deploying scalable cloud solutions felt like unlocking a new level in my career. The hands-on projects gave me the confidence to tackle real-world challenges, and I’m now acing cloud architecture discussions in interviews!""

Ritik Singh

Data Scientist

90% Hike

"The support is insane! Anytime I got stuck, I got answers quickly, and the way things were explained just clicked. I finally get data science—not just the coding but actually how to solve problems with it. This course was 100% worth it!"

Akshay Mehta

NLP Engineer

70% Hike

"AWS and Cloud Computing seemed super complicated before, but the way this course explains everything makes it feel so simple! From setting up cloud environments to deploying ML models, everything is covered step by step. Now I feel totally ready to work on real-world cloud projects!"

Kanishk Sharma

ML Engineer

80% Hike

"Generative AI always felt like something only big tech companies worked on, but this course made it so easy to understand! I never thought I’d be able to build my own AI models for text and image generation. Seriously mind-blowing!"

Saurav Joshi

Operations Analyst

140% Hike

“ Undoubtedly the best course for data analytics at a price point like none other. After countless Udemy courses and YouTube videos, I was left confused and did not know how to apply the knowledge. Finally, this program has given me some hope. This really help me to sit for interviews to ace data analytics role"

Program Benefits

A flexible Data Science, AI & ML program for students and professionals to grow!

  • Live & Recorded Sessions

    Master Data Science, AI & ML with a seamless blend of interactive live classes and recorded sessions. Participate in live discussions, clear your doubts in real-time, and revisit recorded lessons anytime to reinforce key concepts. This flexible learning model ensures you never miss an important topic, helping you stay on track at your own pace.

  • Project-Based Learning

    Gain hands-on experience by working on real-world AI, Machine Learning, and Data Science projects that mirror industry challenges. From cleaning and preprocessing large datasets to building predictive models, deploying AI solutions, and creating interactive visualizations, these projects will sharpen your practical skills and help you build a strong portfolio—giving you a competitive edge in the job market!

  • 1:1 Live Doubt Support

    Stuck on a tricky ML model or confused by a complex dataset? Get personalized one-on-one doubt-clearing sessions with industry experts who will guide you through Python, SQL, Machine Learning, Deep Learning, AI, and Data Science concepts. Whether its debugging a neural network, fine-tuning a model, or understanding advanced statistics, you will get clarity and confidence to tackle real-world challenges!

  • Course Completion Certificate

    Earn an ISO-recognized certification in Data Science, AI & Machine Learning, proving your expertise in data handling, visualization, predictive modeling, and AI-powered solutions. This certification enhances your resume, boosts your credibility, and increases your chances of landing top roles in data science, machine learning, and AI-driven decision-making!

  • On-Job Support

    Get expert guidance even after placement to confidently tackle real-world challenges, enhance your skills, and grow in your data science & AI career with ongoing mentorship!

  • Tech Community

    Join an exclusive Data Science, AI & ML community of professionals, mentors, and peers who share insights, latest trends, and career opportunities. Network with experts in data science & machine learning, collaborate on projects, and participate in industry-relevant discussions and hackathons.

  • Lifetime Dashboard Access

    Get lifetime access to updated course materials, recorded lessons, real-world datasets, and AI/ML tools. Stay ahead with industry trends, new tech updates, and best practices for continuous learning and career growth!

Course Curriculum for Inquisitive Minds

A flexible Data Science, AI & ML program for students and professionals to grow and excel!

  • Interactive live classes, 4 days a week
  • 6 months intensive course with on job support
  • 24x7 doubt solving support
  • Ideal for students and professionals
  • 20+ real-world projects and case studies

Master Data Science, AI & ML with Python, Machine Learning techniques, and advanced tools to build intelligent models and make data-driven decisions. This course is designed for both students and professionals to thrive in the AI-powered world.

Python Fundamentals

  • Introduction to Python
  • Data Types and Variables
  • Operators and Expressions
  • Control Flow (if-else, loops)
  • Functions and Recursion
  • Object-Oriented Programming (OOP)
  • Exception Handling

Data Structures & File Handling

  • Lists and Tuples
  • Dictionaries and Sets
  • Reading and Writing Files
  • Working with CSV and JSON
  • Using Regular Expressions

Python Libraries (NumPy)

  • Arrays and Array Operations
  • Indexing and Slicing
  • Broadcasting
  • Mathematical Operations

Python Libraries (Pandas)

  • DataFrames and Series
  • Data Cleaning and Manipulation
  • Handling Missing Values
  • Merging and Joining

Python Libraries (Matplotlib)

  • Data Visualization
  • Line Charts, Bar Graphs, and Histograms
  • Heatmaps and Pair Plots
Outcome

By the end of this module, you will master Python and its libraries, building a strong foundation for Data Science, AI, and ML.

SQL

  • Introduction to Database
  • Integrity Constraints
  • SQL Commands
  • SQL Joins
  • Database Schema Operations
  • Data Retrieval & Selection
  • Filtering data in SQL
  • Operators & Logical Functions
  • Subqueries
  • Aggregations & Window Functions
  • Common Table Expressions (CTE)
  • Database Objects
  • Normalization

Power BI

  • Introduction to Power BI
  • Data Sources & Connectivity
  • Data Transformation
  • Data Modeling
  • DAX (Data Analysis Expressions)
  • Creating Visualizations
  • Advanced Visualization Techniques
  • Publishing & Sharing Dashboards
Outcome

By the end of this module, you will analyze and visualize data using SQL and Power BI, essential for Data Science, AI, and ML.

Foundation in ML & DL

  • Basics of Statistics
  • Descriptive Statistics
  • Probability & Distributions
  • Inferential Statistics
  • Required Mathematics

Introduction to Machine Learning

  • What is ML?
  • Introduction to Scikit-learn
  • Regression Models
  • Model Evaluation
  • Clustering
  • Feature Engineering & Dimensionality Reduction

Specializations in ML

  • Supervised Learning
  • Evaluation Metrics
  • Unsupervised Learning
  • Time Series Analysis

Introduction to Deep Learning

  • Basics of Neural Networks
  • Deep Learning vs ML
  • Tensorflow & keras
  • Forward & Backpropagation
  • Gradient Descent
  • Overfitting & Dropout
  • MNIST Digit Classification

Deep Learning Specializations

  • Convolutional Neural Networks (CNN)
  • Transfer Learning
  • Generative Adversarial Networks (GANs)
  • Image Classification
  • Object Detection
  • GAN-based Image Generation
Outcome

In this module, you will dive into Machine Learning and Deep Learning, mastering algorithms to build intelligent models. Gain hands-on experience in training, evaluating, and optimizing AI systems.

Cloud Computing

  • Introduction to Cloud Computing
  • Cloud Services & Delivery Models
  • Cloud Platforms & Migration
  • Cloud Cost Management & Adoption
  • Cloud Security & Risk Management
  • AWS DevOps & Automation
  • AWS, AI & Intro to Big Data
  • AWS Career Paths
  • Web Hosting on AWS

MLOps

  • Introduction to MLOps
  • Model Deployment Fundamentals
  • Containerization for MLOps
  • Experiment Tracking & Model Versioning
  • CI/CD in MLOps
  • ML System Design & Scalability
  • Scalable ML with Big Data
  • Cloud-Based ML Deployment
  • Containerized ML Deployment
  • MLOps Workflow Automation
Outcome

After completing this module, you will master Cloud Computing and MLOps, gaining expertise in deploying, managing, and automating AI models.

Generative AI

  • Introduction to Generative AI
  • Introduction to Large Language Models (LLMs)
  • Understanding How LLMs Work
  • Basics of Transformer Architectures
  • Training a Simple Transformer Model
  • Evolution of GPT and Transformer-Based Models
  • Comparing GPT, BERT, and Other Transformer Architectures
  • Fine-Tuning with Hugging Face
  • Building a Simple GPT-like Model
  • What is Prompt Engineering?
  • Optimizing Prompts for AI Tasks
  • Understanding Self-Attention Mechanisms
  • Popular Models like GPT, BERT, and T5
  • Advanced Prompt Engineering Techniques
  • Optimizing Transformer-Based AI for Specific Use Cases
  • Fine-Tuning a Custom GPT Model

Natural Language Processing (NLP)

  • Introduction to NLP
  • NLTK & SpaCy
  • Tokenization
  • Lemmatization
  • Stemming
  • Stopword Removal
  • Frequency Distribution
  • Feature Engineering in NLP
  • Bag of Words (BoW)
  • TF-IDF (Term Frequency - Inverse Document Frequency)
  • Vector Space Modeling
  • Named Entity Recognition (NER)
  • POS Tagging
  • Sentiment Analysis

RNN

  • RNN Fundamentals
  • Introduction to LSTMs & GRUs
  • Seq2Seq Architecture
  • Encoder-Decoder Models
  • Attention Mechanism
  • Attention in RNNs & Transformers
  • Self-Attention Mechanism in Transformers
  • Hugging Face Library
  • Information Extraction with Pretrained Models
Outcome

After completing this module, you will master Generative AI and NLP, enabling you to build AI models for text generation, sentiment analysis, and language understanding.

Advanced DSA

  • Time and Space Complexity
  • Matrix Operations
  • Searching
  • Sorting
  • Linked Lists
  • Stacks & Queues
  • Trees
  • Tries
  • Heaps
  • Hashing
Outcome

After completing this module, you will master advanced DSA, enhancing your problem-solving skills for efficient coding and technical interviews.

Build Real-Time Projects to be Industry-Ready

Our special crafted capstone projects which help you to learn domain knowledge that can give you all around knowledge

Iris Insight

Iris Insight

Predict Iris flower species using machine learning, accompanied by interactive data visualizations to enhance understanding and model interpretation.

  • Pandas
  • Numpy
  • Scikit-learn
House Value Explorer

House Value Explorer

Unlock home pricing trends with ML and interactive visualizations using Python, Pandas, NumPy, and Matplotlib to gain data-driven insights into the real estate market.

  • Scikit-learn
  • Pandas
  • Matplotlib
  • Seaborn
Sales Trends

Sales Trends

Track and predict sales performance using advanced trend analysis tools for data-driven insights and strategic decision-making.

  • Scikit-learn
  • Pandas
  • Matplotlib
  • Seaborn
Churn Predictor

Churn Predictor

Detect and prevent churn by predicting customer behavior using machine learning, enabling proactive retention strategies.

  • Pandas
  • Matplotlib
  • Scikit-learn
  • Feature Engineering
Movies Recommender

Movies Recommender

Discover the perfect movie match with AI-driven recommendations, personalizing suggestions based on your preferences and viewing history.

  • Scikit-learn
  • Pandas
  • Seaborn
  • Tensorflow
  • LightFM
Handwrite AI

Handwrite AI

Recognize and classify handwritten digits using AI-powered analysis for accurate and efficient digit recognition.

  • Tensorflow
  • Keras
  • Matplotlib
  • Seaborn
Mood Recognizer

Mood Recognizer

Predict and analyze emotional states from input data using machine learning, enabling insights into mood patterns and emotional trends.

  • OpenCV
  • Tensorflow
  • Keras
  • Scikit-learn
Sign Detect

Sign Detect

Detect and classify traffic signs in real-time using computer vision, enhancing safety and enabling intelligent transportation systems.

  • OpenCV
  • Tensorflow
  • Scikit-learn
  • YOLO
WordMap

WordMap

Visualize how words connect in a network of meaning, using interactive graphs to explore relationships and semantic structures.

  • Gensim
  • NLTK
  • SpaCy
  • PCA
  • Seaborn

Career Assistance

Secure placements in top companies by mastering the latest Data science, AI & ML skills, supported by real-world projects, hands-on mentorship, and expert career guidance.

  • 95%

    Placement assistance of 6 months post course completion.

  • 300+

    Hiring Partners

Placement Assistance

Get support with resume building, interview prep, and job referrals to land a data science role.

Data Science Portfolio Building

Showcase industry projects in Python, Machine Learning, Deep Learning, and AI to engage recruiters and stand out in the job market.

Interview Skills Development

Strengthen communication and problem-solving for technical and behavioral interviews.

Career Advancement Support

Get access to industry connections and career resources to enhance your job opportunities.

Professionals from Leading Tech companies

Learn from Industry Experts

Gain real-world insights from top professionals and experienced mentors to become job-ready.

Saurabh Moharikar

Sr.Data Analyst 17+ Years NIT Raipur

Ajay Kumar Gupta

11+ years | Data Science Expert

iSkills by iQuanta Scholarship Test

Ace the Test, Earn a Scholarship, and Kickstart Your Data Science, AI & ML Journey!

Who Is This For?

Whether you're starting out or a professional looking to upskill, transition careers, or deepen your expertise, this program is designed to help you grow and succeed in the tech industry.

Who Should Enroll?

Aspiring Data Scientists, AI & ML Engineers, and career switchers looking to break into the field of artificial intelligence and machine learning.

Educational Background

A Bachelor’s or Master’s degree in technology, computer science, mathematics, or related fields is beneficial but not mandatory.

Experience Requirement

No prior experience required! This program is designed for both beginners and professionals to master Data Science, AI & ML from scratch.

Program Objective

Gain hands-on experience in data science, machine learning, deep learning, and AI while working with industry-leading tools to build intelligent solutions.

Become a Mentor

Join as a mentor to guide future tech professionals and stay ahead in emerging technologies.

Let’s Get Started

Our application process is simple and structured to guide you every step of the way.

01

Initial Consultation

A dedicated expert will connect with you to understand your goals and provide all the details about the program.

02

Eligibility Form

Fill out a quick form to ensure you meet the basic requirements for the program.

03

Offer Letter

Once your eligibility is confirmed, we roll out the offer letter with all course details and payment options.

04

Enrollment Process

After accepting the offer, complete your enrollment with flexible payment options.

Course Fee

With flexible EMI options, financing, and UPI, you can enroll in any course of your choice.

Start as low as 6583/ month

Total fees of the program – ₹1 Lakh
FAQs

We've Got the Answers

No prior experience is required! This course is designed for both beginners and professionals looking to upskill. A strong analytical mindset, problem-solving skills, and basic familiarity with excel or programming can be beneficial, but we guide you step by step to ensure a smooth learning experience.

Yes! You will receive an ISO-certified professional certificate upon completion. This validates your expertise in Data science, AI, and ML, making it a valuable addition to your resume and linkedIn profile. Certifications help showcase hands-on experience, giving you an edge in the job market.

Life happens! That’s why all sessions are recorded and available for unlimited access. Whether you miss a class due to personal commitments or want to revisit a topic, you can learn at your own pace without falling behind.

Absolutely! Many successful Data Scientists and AI engineers come from finance, business, healthcare, and even humanities. This course starts from the basics, ensuring that even those without a technical background can grasp and apply concepts effectively in real-world scenarios.

Not at all! While a CS degree can be helpful, it is not a requirement. Passion, curiosity, and problem-solving skills matter more. The course is structured to help learners with varying levels of technical expertise, making it accessible to anyone willing to learn.

Yes! We introduce Python, SQL, Statistics, Probability, and Linear Algebra in a simplified and beginner-friendly way. You'll gradually build confidence in handling data, writing scripts, and analyzing complex datasets—even if you have no prior coding or math background.

Real-world projects bridge the gap between theory and practice. Our hands-on projects simulate actual industry scenarios, allowing you to work with real datasets, build predictive models, automate tasks, and apply AI techniques. These projects strengthen your portfolio and prepare you to handle real-world job challenges with confidence.

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