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Ybi Foundation
Ybi Foundation
Not for Profit Company
  • 🚀Learn • Practice • Upskill

    Build the Complete Skill Stack
    ​for Your Career Role

    Build the Complete Skill Stack
    ​for Your Career Role

    YBI Foundation Career Programs combine the skills, projects and
    preparation needed for one complete career pathway.

    📞 (+91) 966 798 7711 (Mon to Sat 10am to 6pm)

    📧 support@ybifoundation.com

    Start FREE
    Explore Career Tracks

Get Ready For
​High Paying Job Roles in 2026!

According to Microsoft, 82% of leaders globally and 85% of leaders in Asia Pacific said employees will need new skills in an “AI-powered future.” 

LinkedIn added that AI has seen rapid growth in the labor market — there is 487% growth in AI talent hiring for India compared to overall hiring.

Explore Career Programs

Choose the job role you want to prepare for. Each program combines the relevant skills, projects and career preparation for that pathway.

AI with GenAI & App Development (FDE)

Build a complete AI engineering skill stack from applied machine learning and deep learning to transformers, LLMs, embeddings and GenAI applications.


  • Applied Machine Learning
  • Feature Engineering
  • Neural Networks & Deep Learning
  • Transformers & Prompt Engineering
  • LLM APIs, Embeddings & RAG
  • Hands-on projects
  • Career preparation

Enroll Now
Explore Career Track

Business & Data Analytics

Build the combined analytical, business and data visualization skills needed for analyst roles into practical workflows.


  • Excel & Business Analysis
  • Python for Data Analysis
  • Advanced SQL
  • Power BI & DAX
  • Business KPIs & Data storytelling
  • Hands-on projects
  • Career Preparation

Enroll Now
Explore Career Track

Not Sure Where to Start?

Join a free live orientation to understand YBI internships, training, projects and certificates before choosing your program. Live every Wednesday & Saturday.

Join FREE Orientation

How a Career Program Works

Build from foundations to applied projects and career preparation in one structured journey.

1. Build Foundations

Strengthen the core concepts and tools required for the career role.

2. Develop Job Role Skill

Learn the connected skills professionals in the role use together.

3. Build Projects

Apply learning through practical projects and portfolio-ready work.

4. Showcase Your Work

Strengthen interview, resume, portfolio and placement readiness.

Master Course v/s Career Program

Choose based on whether you want depth in one skill or a complete job-role pathway.

  Master Course  

One Skill, Deep

Best when you want deeper expertise in one specific tool or skill.


  • One focused subject
  • Deeper skill coverage
  • Structured practice
  • Applied tasks and projects
  • Examples: Pandas, SQL, Power BI, ML, GenAI

Enroll Now
Explore Career Track

  Career Program  

 Job Role Based Training

Best when you want a complete combination of skills required for a target role.


  • Multiple connected skills
  • Role-oriented learning journey
  • Hands-on projects
  • Career and interview preparation
  • Examples: AI Engineer, Data Analyst, Full Stack Developer

Enroll Now
Explore Career Track

Frequently Asked Questions

A Career Program is a structured learning journey built around one target job role. It combines multiple relevant skills, practical projects and career preparation.

A Master Course focuses deeply on one skill. A Career Program combines multiple connected skills, projects and preparation around one complete job role.

Not necessarily. Learners who already have the required foundations may be able to enter the relevant Career Program directly, depending on its prerequisites.

Career Programs are designed around practical application and may include guided projects relevant to the target role. Exact inclusions are shown on each program page.

Yes, Career-focused preparation includes respective interview preparation module. The individual program page shows the applicable interview, resume, portfolio features.

Some programs are designed with foundation support for beginners, while others may require prior knowledge. Check the prerequisites of the specific Career Program.

Our team is available throughout your internship to assist you with your learning and project journey. You can contact us via Call/WhatsApp: +91 966 798 7711 or Email: support@ybifoundation.com

📚 What You Will Learn?

 100+ Hours    50+ Projects     Assignments    Bootcamps 

Python Programming


Environment Setup: Install Python, configure Anaconda & Jupyter Notebooks, and familiarize with the interpreter workflow.
Core Data Types: Work with integers, floats, strings, and booleans.
Operators: Arithmetic Operators, Comparison Operators, Logical Operators, Assignment Operators, Bitwise Operators, Membership Operators, Identity Operators.
Container Types: Create and manipulate lists, tuples, dictionaries, and sets.
Control Flow: Implement logic using if / elif / else statements and repetition with for and while loops.
Functions: Define reusable code blocks, handle positional and keyword arguments, return values, and apply default parameters.

Machine Learning


Data Preprocessing and Feature Engineering: Handling missing data: Imputation techniques, Data normalization and standardization, Encoding categorical variables: One-hot encoding, label encoding, Feature selection and extraction: PCA, correlation analysis.
Supervised Learning: Regression and Classification problems, simple linear regression, multiple linear regression, ridge regression, logistic regression, k-nearest neighbour, naive Bayes classifier, linear discriminant analysis, support vector machine, decision trees, bias variance trade-off, cross-validation methods such as leave-one-out (LOO) cross-validation, k-folds cross-validation, multi-layer perceptron, feed-forward neural network. Ensemble models.
Unsupervised Learning: clustering algorithms, k-means/k-medoid, hierarchical clustering, top-down, bottom-up: single linkage, multiple-linkage, dimensionality reduction, principal component analysis.
Model Evaluation and Optimization: Train-test split, cross-validation, and k-fold validation, Hyperparameter tuning: Grid search, random search, Bias-variance tradeoff and overfitting.

Deep Learning

Neural Networks: Basics of neural networks: Neurons, layers, activation functions, Feedforward and backpropagation, Introduction to deep learning frameworks: TensorFlow, PyTorch, Loss functions and optimizers (SGD, Adam). Build a simple neural network using TensorFlow/PyTorch. Train the network on a small dataset (e.g., MNIST).

Computer Vision

Image I/O and Video Handling, Color Space Conversion, Geometric Transformations, Smoothing & Blurring, Thresholding, Morphological Operations, Edge Detection (Canny), Corner Detection (Harris, Shi–Tomasi), Keypoint Description & Matching (SIFT, SURF, ORB), Object Detection (Haar Cascades, HOG+SVM), Contour-Based Segmentation, Deep Learning Detection (YOLO), Instance Segmentation (Mask R-CNN), Convolutional Neural Networks, Transfer Learning (VGG, ResNet), Model Fine-Tuning, Pipeline Deployment & Applications

NLP and Text Analytics

Text Preprocessing (Tokenization, Stopword Removal, Stemming, Lemmatization), Language Modeling (n-grams, Neural Language Models), Word Embeddings (Word2Vec, GloVe, FastText), Sequence Modeling (RNNs, LSTMs, GRUs), Attention Mechanisms & Transformers, Part-of-Speech Tagging, Named Entity Recognition, Dependency & Constituency Parsing, Semantic Role Labeling, Text Classification, Sentiment Analysis, Topic Modeling (LDA, NMF), Machine Translation (Seq2Seq, Attention), Text Summarization, Question Answering, Dialogue Systems, Information Extraction & Relation Extraction, Text Analytics & Visualization

SQL and Data Bases

Introduction to Databases and SQL, Relational Data Modeling & ER Diagrams, Database Schema Design & Normalization (1NF–3NF), SQL Data Definition Language (CREATE/ALTER/DROP), SQL Data Manipulation Language (INSERT/UPDATE/DELETE), Basic SELECT Queries (SELECT/FROM/WHERE/ORDER BY), Advanced SELECT (GROUP BY/HAVING/DISTINCT), Joins (INNER/LEFT/RIGHT/FULL), Subqueries & Nested Queries, Set Operations (UNION/INTERSECT/EXCEPT), Aggregate & Scalar Functions, Views, Stored Procedures & Triggers, Indexes & Query Optimization, Transactions & Concurrency Control, Security & Permissions, Introduction to NoSQL & NewSQL Databases

Generative Ai

i

Power Bi + Tableu

Data Connectivity & Extraction (Power Query, Tableau Data Source), Data Transformation & Modeling (Power Query M, Tableau Prep), Data Relationships & Schema Design, Calculations & Expressions (DAX Measures, Tableau Calculated Fields), Time Intelligence & Date Functions, Basic Visualizations (Charts, Tables, Maps), Advanced Visualizations (Custom Visuals, Parameter-driven Views, Level-of-Detail Expressions), Interactive Dashboards & Storytelling, Mobility & Responsive Design, Performance Optimization & Query Tuning, Publishing & Sharing (Power BI Service, Tableau Server/Online, Public Gallery), Row-Level Security & Governance, Deployment & Embedding (Power BI Embedded, Tableau Embedded Analytics), Integration with Azure/Salesforce/Databricks, Automated Refresh & Scheduling, Audit & Usage Monitoring, AI-Powered Insights (Power BI AI visuals, Tableau Explain Data)

Math and Statistics

Linear Algebra, Differential & Integral Calculus, Probability Theory, Descriptive Statistics, Inferential Statistics & Hypothesis Testing, Regression Analysis, Bayesian Statistics, Multivariate Statistics, Discrete Mathematics, Optimization & Numerical Methods, Time Series Analysis.

Big Data

SparkSession Initialization, pandas API on Spark Quickstart, DataFrame API, Series API, Index API, CategoricalIndex API, DatetimeIndex API, GroupBy & Aggregations, Window Functions, Vectorized UDFs, DataFrame↔pandas Conversion, SQL Queries & Temporary Views, DataFrame Transformations & Joins, Window Clauses & Set Operations, Performance Optimizations (broadcast joins, predicate pushdown), MLlib Data Types & Basic Statistics, Feature Extraction & Transformation (FeatureHasher, TF–IDF), Classification (Logistic Regression, Decision Trees, Random Forests), Regression (Linear Regression, Ridge Regression), Clustering (KMeans), Collaborative Filtering (ALS), Dimensionality Reduction (PCA), Model Selection & Hyperparameter Tuning (Grid Search, Cross-Validation), Pipelines API.

MLOPs

MLOps Overview & Best Practices, Cloud Provider Account & Workspace Setup (SageMaker, Azure ML, Vertex AI), Version Control & Collaboration, Data & Feature Store Management (SageMaker Feature Store, Azure Feature Store, Vertex AI Feature Store), Experiment & Model Tracking (SageMaker Experiments, Azure ML Experiments, Vertex AI Experiments)

Select Your Career Path

Data Analytics
​with AIML & GenAi

⭐⭐⭐⭐⭐ 4.8 / 5.0

✔️ 50+ Job-Ready Skills              ✔️ 15+ Resume Projects

⏳ Duration: 4 Months                 🎯 1 Year Program Access

✔️ 50+ Job-Ready Skills

✔️ 15+ Resume Projects

⏳ Duration: 4 Months

🎯 1 Year Program Access

Learn: Python Programming, Business Analytics, Data Preprocessing, Data Vizualization, Power BI, SQL, Advance Excel and more . . .

🚀 Explore More!

Data Science
​with AIML & GenAi

⭐⭐⭐⭐⭐ 4.9 / 5.0

✔️ 40+ Job Ready Skill               ✔️ 10+ Resume Projects

⏳ Duration: 2 Months                 🎯 1 Year Program Access

✔️ 40+ Job Ready Skill

✔️ 10+ Resume Projects

⏳ Duration: 2 Months

🎯 1 Year Program Access

Learn: Python Programming, Business Analytics, Data Preprocessing, Data Vizualization, Power BI, SQL, Advance Excel and more . . .

🚀 Explore More!

Data Engineering
​with AIML & GenAi

⭐⭐⭐⭐⭐ 4.7 / 5.0

✔️ 40+ Job Ready Skill               ✔️ 10+ Resume Projects

⏳ Duration: 2 Months                 🎯 1 Year Program Access

✔️ 40+ Job Ready Skill

✔️ 10+ Resume Projects

⏳ Duration: 2 Months

🎯 1 Year Program Access

Learn: Python Programming, Business Analytics, Data Preprocessing, Data Vizualization, Power BI, SQL, Advance Excel and more . . .

🚀 Explore More!

Career Programs

 Career Program 

Explore Now ➞

 Career Program 

Job Role Based
​Complete Pathway!

Best when you want a complete combination

of skills required for a target job role


🎯Job role Oriented Learning Journey









Explore Now ➞