QubitSkills
Master the AI of Tomorrow
Learn from world-class faculty through live, cohort-based training. Master AI with interactive sessions, hands-on projects, and personalized expert feedback. Choose individual courses or complete full tracks at your own pace.
Why Choose QubitSkills?
Experience a modern approach to AI education with live cohorts, expert feedback, and real-world projects
World-Class Faculty
Learn from experienced AI practitioners and industry experts with years of real-world experience. Our instructors bring cutting-edge knowledge and practical insights from leading tech companies.
Live Cohort-Based Learning
Join scheduled cohorts and learn alongside peers in real-time interactive sessions. Build connections, share insights, and grow together with your learning community.
Hands-On Projects with Feedback
Work on real-world projects and receive personalized feedback from instructors. Every assignment is reviewed to ensure you truly understand the concepts and build practical skills.
After-Class Discussion & Support
Continue learning beyond the classroom with dedicated discussion forums, Q&A sessions, and peer collaboration. Get help when you need it and never feel stuck.
4 Specialized Tracks (22 Courses)
Follow curated tracks designed to take you from beginner to expert. Each track is carefully structured with clear milestones and practical outcomes.
Industry-Recognized Certifications
Earn certificates that validate your skills and showcase your expertise to employers. Each track culminates in a comprehensive certification.
Learn Your Way
Take individual courses to build specific skills, or complete an entire track to earn a professional certification
Individual Courses
Pick and choose courses that match your learning goals and schedule
Flexible LearningComplete Tracks
Follow structured paths designed to take you from beginner to expert
Guided JourneyEarn Certifications
Complete tracks to receive industry-recognized certificates
Career BoostLearning Tracks & Certifications
Learn from world-class faculty in structured learning paths. Take individual courses or complete a full track to earn an industry-recognized certification. Each track features live cohorts, hands-on projects, and personalized expert feedback.
AI Foundations for Professionals
Build AI awareness and empower non-technical professionals to confidently use AI tools in their daily work.
🎯 Ideal for:
- •Managers & Team Leads
- •HR & Marketing Teams
- •Finance Professionals
- +2 more
AI Strategy & Automation for Leaders
Equip business leaders to make data-driven decisions, automate workflows, and strategically implement AI solutions.
🎯 Ideal for:
- •Business Analysts
- •Team Leads & Managers
- •Department Heads
- +2 more
AI Developer Launchpad
Build a solid technical foundation in Python, machine learning, and applied AI to launch a career in data science or AI.
🎯 Ideal for:
- •College Students
- •Career Switchers
- •Junior Developers
- +2 more
Advanced AI Engineering
Design, train, and deploy production-grade, scalable AI systems including LLMs and generative AI.
🎯 Ideal for:
- •Software Developers
- •Data Engineers
- •IT Professionals
- +2 more
All Courses
Browse all 22 courses across our 4 learning tracks. Take individual courses or complete a full track for certification.
Introduction to Artificial Intelligence for Everyone
Understand what AI is, how it works, and how it impacts your role and industry.
Key Modules:
- •Core Concepts: What are AI, ML, and automation
- •Real-World Examples: AI in action (email filters, chatbots)
- •Myths vs. Realities: Debunk common AI misconceptions
+1 more modules
₹6,000
Everyday AI Tools & Prompt Engineering
Master general-purpose AI assistants and learn to communicate effectively with them to get accurate, high-quality results.
Key Modules:
- •AI Assistant Basics: ChatGPT, Microsoft Copilot, Gemini, Notion AI
- •Prompting Essentials: Roles, context, examples, and step-by-step prompts
- •Everyday Applications: Summarizing text, drafting content, brainstorming ideas, and creating presentations
+2 more modules
AI-Powered Productivity
Explore specialized AI tools and build smart workflows to boost your productivity.
Key Modules:
- •Specialized Tools: GrammarlyGO, Elicit, Perplexity, Tome, Gamma
- •Spreadsheet AI: Excel and Google Sheets AI features
- •Smart Workflows: Combine multiple AI tools effectively
Responsible AI & Data Privacy
Learn to use AI ethically and understand data privacy implications in the workplace.
Key Modules:
- •Data & Training: How AI systems learn and process data
- •Bias & Fairness: Understanding and mitigating AI bias
- •Safe Usage: Guidelines for ethical workplace AI use
Advanced Data Analysis & AI-Driven Decisions
Master data analysis tools and build interactive dashboards for business insights.
Key Modules:
- •Data Literacy: Structured vs unstructured data
- •Advanced Excel: Power Query, PivotTables, Copilot
- •Visualization: Excel Dashboards, Power BI, Looker Studio
+1 more modules
AI-Driven Business Transformation
Apply AI across HR, Marketing, Finance, and Service functions to transform your business.
Key Modules:
- •HR: Resume screening, onboarding, engagement analysis
- •Marketing: Segmentation, personalization, optimization
- •Finance: Forecasting, reporting, fraud detection
+1 more modules
No-Code AI & Process Automation
Build chatbots and automate workflows without writing code.
Key Modules:
- •Platform Overview: Zapier, Make, Power Automate
- •Build Chatbots: Copilot Studio, Chatbase
- •Automate Workflows: Cross-app task automation
Strategic AI Adoption & Change Management
Lead AI transformation and manage organizational change effectively.
Key Modules:
- •Opportunity Analysis: Identify high-impact AI opportunities
- •ROI & Cost: Business case development
- •Change Management: Foster AI-ready culture
+1 more modules
AI Ethics, Policy, & the Future of Work
Develop governance frameworks and ethical AI policies for your organization.
Key Modules:
- •AI Governance: Responsible use policies
- •Compliance: GDPR, AI acts, bias detection
- •Human-AI Collaboration: Augmenting teams effectively
Python Programming for AI
Master Python fundamentals and AI libraries to start your data science journey.
Key Modules:
- •Core Python: Variables, loops, data structures, functions, OOP
- •AI Libraries: NumPy, Pandas, Matplotlib
Mathematics & Statistics for AI
Build mathematical foundations essential for machine learning.
Key Modules:
- •Core Concepts: Linear algebra, probability
- •Statistics: Hypothesis testing, distributions
- •Optimization: Gradient descent, cost functions
Data Analysis & Visualization
Master data workflows and storytelling with data visualization.
Key Modules:
- •Data Workflow: Cleaning, feature engineering, EDA
- •Advanced Visualization: Seaborn, Plotly
- •Communication: Present insights effectively
Machine Learning Foundations
Learn core ML algorithms and build your first predictive models.
Key Modules:
- •Algorithms: Regression, Classification, Clustering
- •Model Training: Train/test splits, cross-validation
- •Metrics: Accuracy, precision, recall, F1-score, RMSE
+1 more modules
Introduction to Deep Learning
Build neural networks and understand deep learning fundamentals.
Key Modules:
- •Core Concepts: Neurons, layers, activation functions
- •Architectures: CNNs for images, RNNs for sequences
- •Frameworks: PyTorch or TensorFlow
Building Your AI Career & Portfolio
Create a professional portfolio and prepare for AI/ML job interviews.
Key Modules:
- •Version Control: Git & GitHub
- •Personal Branding: AI-focused resume and LinkedIn
- •Interview Prep: Technical questions practice
Advanced Python for AI Engineering
Build production-ready ML systems and serve models via APIs.
Key Modules:
- •Advanced OOP: Scalable ML systems, data pipelines
- •Library Mastery: Deep NumPy, Pandas, Scikit-learn
- •Performance: Vectorization, profiling, optimization
+1 more modules
Advanced Machine Learning
Master ensemble methods, feature engineering, and model explainability.
Key Modules:
- •Feature Engineering: Advanced preprocessing and selection
- •Ensemble Models: Random Forests, XGBoost, LightGBM
- •Explainability (XAI): SHAP and LIME
+1 more modules
Deep Learning Masterclass
In-depth study of modern deep learning architectures and training techniques.
Key Modules:
- •Architectures: CNNs (ResNet), LSTMs, GRUs, Transformers
- •Training: Transfer learning, fine-tuning, optimization
- •Modern Models: BERT and GPT architecture
Generative AI & Large Language Models
Build RAG systems, fine-tune LLMs, and create autonomous AI agents.
Key Modules:
- •Transformer Deep Dive: Self-attention mechanism
- •RAG: Retrieval-Augmented Generation pipelines
- •Fine-Tuning: LLaMA, Gemini on custom datasets
+3 more modules
MLOps and AI Deployment
Deploy scalable ML systems to production with modern DevOps practices.
Key Modules:
- •Containerization: Docker & Kubernetes
- •CI/CD for ML: GitHub Actions, Jenkins
- •Cloud Platforms: AWS SageMaker, GCP Vertex AI, Azure ML
+1 more modules
AI Specialization Elective
Choose a domain specialization: Healthcare, Finance, Retail, or Supply Chain AI.
Key Modules:
- •Domain-specific models and data
- •Regulatory challenges and compliance
- •Industry best practices
Capstone: End-to-End AI Product
Build a complete production AI system from data pipeline to deployment.
Key Modules:
- •Full-Stack AI: Data pipeline → model → API → UI
- •Documentation: Production-quality docs and tests
- •Presentation: Demo value and technical architecture
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