India's First Complete Career Ecosystem

Master AI/ML.
Get Hired or Launch Your Startup

We don't just teach – we guarantee your success. Get placed in top companies or we'll guide you from company registration to raising your first funding round. Your success is our mission.

5,000+ Students Trained
92% Placement Rate
150+ Startups Launched
β‚Ή50Cr+ Funding Raised by Students

End-to-End Career Solutions

From learning cutting-edge AI to landing your dream job or launching a funded startup – we're with you every step of the way.

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AI/ML Training

Comprehensive curriculum covering Python, Machine Learning, Deep Learning, NLP, Computer Vision, Generative AI, and MLOps with 25+ real industry projects.

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Placement Guarantee

Dedicated placement cell, resume building, LinkedIn optimization, mock interviews with hiring managers, and referrals to 200+ partner companies until you get hired.

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Startup Incorporation

Complete assistance with company registration (Pvt Ltd, LLP, OPC), GST, MSME, trademark filing, bank account setup, and all legal documentation.

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Fundraising Support

Pitch deck creation, financial modeling, valuation guidance, investor database access, and warm introductions to angel investors and VCs.

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1-on-1 Mentorship

Weekly sessions with industry mentors from Google, Microsoft, Amazon, and successful startup founders who've raised millions in funding.

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Legal & Compliance

Co-founder agreements, ESOP structuring, term sheet negotiation, shareholder agreements, NDAs, and ongoing compliance support for your startup.

Complete AI/ML Syllabus

6-month intensive program covering everything from Python basics to cutting-edge Generative AI. Updated monthly with the latest industry trends.

Python Programming

  • Data types, control flow, functions, OOP
  • List comprehensions, lambda functions, decorators
  • File handling, exception handling, modules & packages
  • Working with APIs, JSON, and web scraping (BeautifulSoup, Scrapy)

Data Science Libraries

  • NumPy: Arrays, vectorization, broadcasting
  • Pandas: DataFrames, data cleaning, merging, groupby
  • Matplotlib & Seaborn: Data visualization, plots, dashboards
  • Plotly: Interactive visualizations and dashboards

Statistics & Mathematics

  • Descriptive & inferential statistics
  • Probability distributions, hypothesis testing
  • Linear algebra: vectors, matrices, eigenvalues
  • Calculus: derivatives, gradients, optimization

SQL & Databases

  • SQL queries, joins, subqueries, window functions
  • PostgreSQL, MySQL, MongoDB basics
  • Database design and normalization

Supervised Learning

  • Linear Regression, Polynomial Regression
  • Logistic Regression, Decision Trees, Random Forest
  • SVM, KNN, Naive Bayes
  • Gradient Boosting: XGBoost, LightGBM, CatBoost
  • Ensemble methods: Bagging, Boosting, Stacking

Unsupervised Learning

  • K-Means, Hierarchical Clustering, DBSCAN
  • PCA, t-SNE, UMAP for dimensionality reduction
  • Anomaly detection: Isolation Forest, LOF
  • Association Rules: Apriori, FP-Growth

Feature Engineering

  • Feature selection: RFE, feature importance, correlation
  • Feature extraction: PCA, LDA, autoencoders
  • Handling missing data, outliers, imbalanced datasets
  • Cross-validation, hyperparameter tuning (GridSearch, Optuna)

Model Deployment

  • MLflow for experiment tracking
  • Model serialization: Pickle, Joblib, ONNX
  • Building REST APIs with FastAPI
  • Docker containerization for ML models

Neural Network Fundamentals

  • Perceptrons, activation functions, backpropagation
  • TensorFlow 2.x & Keras, PyTorch
  • Optimizers: SGD, Adam, RMSprop, AdamW
  • Batch normalization, dropout, weight initialization
  • Transfer learning & fine-tuning pre-trained models

CNN - Computer Vision

  • CNN architectures: LeNet, AlexNet, VGG, ResNet, Inception
  • Object detection: YOLOv8, Faster R-CNN, SSD
  • Image segmentation: U-Net, Mask R-CNN
  • GANs: DCGAN, StyleGAN, CycleGAN
  • Vision Transformers (ViT), Stable Diffusion basics

RNN & Sequence Models

  • RNN, LSTM, GRU architectures
  • Bidirectional RNNs, stacked LSTMs
  • Time series forecasting with deep learning
  • Attention mechanisms, seq2seq models

Traditional NLP

  • Text preprocessing: tokenization, stemming, lemmatization
  • Word embeddings: Word2Vec, GloVe, FastText
  • TF-IDF, Bag of Words, N-grams
  • Named Entity Recognition (NER), POS tagging
  • Sentiment analysis, text classification

Transformers & LLMs

  • Transformer architecture deep dive
  • BERT, RoBERTa, DistilBERT for understanding
  • GPT-3.5, GPT-4, Claude, Gemini architecture
  • Fine-tuning LLMs with LoRA, QLoRA
  • Prompt engineering: Chain-of-Thought, Few-shot, RAG

Advanced NLP Applications

  • Building chatbots with LangChain & LlamaIndex
  • Vector databases: Pinecone, Weaviate, ChromaDB
  • Semantic search & document Q&A systems
  • Text summarization, translation, text generation
  • Hugging Face ecosystem: Transformers, Datasets, Spaces

Generative AI

  • Stable Diffusion, DALL-E, Midjourney architecture
  • Diffusion models: DDPM, DDIM, Latent Diffusion
  • Text-to-image, image-to-image, inpainting
  • AI video generation: RunwayML, Pika, Sora basics
  • Music generation: MusicLM, AudioCraft

AI Agents & Autonomous Systems

  • AutoGPT, BabyAGI, CrewAI frameworks
  • Multi-agent systems and orchestration
  • Tool use, function calling, API integration
  • Building autonomous AI workflows
  • Agentic RAG: Advanced retrieval augmented generation

MLOps & Production AI

  • Kubernetes for ML workloads
  • Kubeflow, MLflow, Weights & Biases
  • CI/CD pipelines for ML models
  • Model monitoring, drift detection, A/B testing
  • Cloud deployment: AWS SageMaker, GCP Vertex AI, Azure ML

Edge AI & TinyML

  • Model optimization: quantization, pruning, distillation
  • TensorFlow Lite, ONNX Runtime, OpenVINO
  • Deploying models on mobile & IoT devices
  • Edge computing architectures

Industry Projects (Choose 3)

  • Build a production-grade RAG chatbot for legal/medical domain
  • Real-time object detection system for autonomous vehicles
  • AI-powered stock trading bot with sentiment analysis
  • Healthcare diagnosis system using medical imaging
  • Recommendation engine for e-commerce (like Amazon)
  • Generative AI content creation platform
  • Fraud detection system for banking transactions
  • Multi-modal AI: Image + Text understanding system

Placement Preparation

  • Resume building workshop (ATS-friendly format)
  • LinkedIn profile optimization
  • GitHub portfolio creation
  • Technical interview preparation (DSA + ML theory)
  • 5 mock interviews with industry professionals
  • Salary negotiation strategies

Startup Launch Preparation

  • Identifying market opportunities in AI
  • Building an MVP in 2 weeks
  • Creating investor-ready pitch decks
  • Financial modeling for AI startups
  • Legal basics for tech founders

Want the detailed syllabus PDF?

Download our complete 50-page curriculum guide with project details, tools, and learning outcomes.

Get Full Syllabus

Two Career Paths. One Goal.

Whether you dream of a high-paying AI job or building your own startup, we guarantee your success.

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Placement Track

Get hired by top tech companies with our guaranteed placement program.

  • Industry-vetted AI/ML curriculum
  • ATS-optimized resume building
  • LinkedIn & GitHub portfolio creation
  • 5 mock interviews with FAANG engineers
  • Direct referrals to 200+ partner companies
  • Salary negotiation workshop
  • Post-placement support for 6 months
Our students work at:
Google Microsoft Amazon TCS Infosys
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Startup Track

Launch and fund your own AI startup with end-to-end support.

  • Company registration (Pvt Ltd/LLP/OPC)
  • GST, MSME, trademark, and FSSAI filing
  • Professional pitch deck design
  • Financial modeling & valuation
  • Investor database (500+ angels & VCs)
  • Warm introductions to investors
  • 12 months legal & compliance support
Our founders raised from:
Sequoia Y Combinator Accel Lightspeed Blume

From Learning to Earning

01

Enroll & Learn

Master AI/ML with hands-on projects and 1-on-1 mentorship

02

Build Portfolio

Create 25+ real-world projects that impress employers & investors

03

Choose Your Path

Decide between placement preparation or startup launch

04

Guaranteed Success

Land your dream job or launch & fund your own company

Invest in Your Future

All programs include our dual-track guarantee. If you don't get placed, we help you launch a startup.

AI Professional

β‚Ή49,999/course
  • 6-month AI/ML training
  • 25+ industry projects
  • Placement preparation
  • Resume & LinkedIn optimization
  • 3 mock interviews
Enroll Now

Startup Launchpad

β‚Ή1,49,999/all-inclusive
  • Complete AI training + incorporation
  • Legal & compliance for 1 year
  • Investor introductions
  • Co-founder matching
  • Pitch deck & financial model
  • 3 months free co-working space
  • β‚Ή10L+ cloud credits
Launch Your Startup

Meet Your Mentors

Learn from industry veterans who've built AI systems at Google, Microsoft, and successful startups.

VedhaShree

VedhaShree

Chief Executive Officer (CEO)

Visionary leader driving the overall strategy and growth of wewithall. With 12+ years in AI/ML and experience at Google, VedhaShree ensures every student receives world-class education and career support. Passionate about democratizing AI education and building India's next generation of tech leaders.

AI Strategy Fundraising Leadership
KD Nimitha

KD Nimitha

Chief Technology Officer (CTO)

Technology architect behind wewithall's AI curriculum and learning platform. PhD in ML from IIT Delhi with deep expertise in NLP and Computer Vision. Has placed 2000+ students in FAANG companies through rigorous technical training and interview preparation.

Placements NLP Computer Vision
Aayan

Aayan

Chief Marketing Officer (CMO)

Marketing strategist and corporate lawyer who drives wewithall's brand presence and student acquisition. Has registered 500+ companies and helped startups with legal compliance and fundraising. Expert in creating compelling narratives that attract top talent and investors.

Legal Compliance Fundraising
Shinchan

Shinchan

Chief Creative Officer (CCO)

Creative visionary and ex-VC at Sequoia Capital with 6+ years of startup investment experience. Has closed β‚Ή100Cr+ in funding deals. Brings creative thinking to wewithall's programs, helping founders craft winning pitch decks and connect with the right investors.

VC Network Pitch Coach Creative Strategy
Arjun Mehta

Divya shree

Chief Financial Officer (CFO)

Financial expert and Chartered Accountant with 15+ years in investment banking at Goldman Sachs and Morgan Stanley. Manages wewithall's financial strategy and helps students understand startup finance, valuation, and fundraising. Expert in financial modeling and due diligence.

Financial Modeling Valuation Investment Banking

Trusted by Industry Leaders

Frequently Asked Questions

If you don't receive a job offer within 6 months of completing the program, we either refund 50% of your fees or help you launch your own startup with full incorporation support. Our placement rate is 92%.

No! Our program starts from absolute basics. Module 1 covers Python from scratch. Many of our successful students came from non-tech backgrounds like commerce, arts, and biology.

We support AI/ML-based startups across all sectors – healthcare, fintech, edtech, agritech, SaaS, and more. Our team helps you identify market opportunities and build an MVP.

We provide pitch deck templates, financial modeling tools, access to our investor database of 500+ angels and VCs, and most importantly – warm introductions through our network.

We offer both! Our hybrid model includes live online classes, recorded lectures, and optional in-person workshops in Bangalore, Mumbai, and Delhi NCR.

Unlike traditional institutes, we don't just teach – we guarantee outcomes. Plus, our startup launchpad is unique. No other institute helps you incorporate a company and raise funding if you choose the entrepreneurial path.

Start Your AI Journey Today

Fill the form below and our career counselor will call you within 24 hours to discuss the best path for you.

πŸ“§ kdnimitha@wewithall.com | πŸ“ž +91 8792381530