Services
Services We Provide World Wide
Project Undertaking
Services We Provide
Our Key Projects & Solutions
Innovating with AI, Data Science & Analytics for Small-Scale Industries
We empower small-scale and tiny industries with cutting-edge Artificial Intelligence (AI), Data Science (DS), and Data Analytics solutions tailored to your unique needs. Our mission is to bridge the technological gap for smaller enterprises by delivering affordable, scalable, and actionable insights that drive growth, efficiency, and competitiveness.
1. Predictive Maintenance for Manufacturing
- AI/ML Models: Predict equipment failures using sensor data to minimize downtime.
- Impact: Reduces maintenance costs by 30% and extends machinery lifespan.
2. Demand Forecasting for Retailers
- Data Analytics: Analyze sales trends, seasonality, and external factors (e.g., weather).
- Outcome: Optimizes inventory and reduces waste by 25%.
3. Customer Sentiment Analysis
- NLP & AI: Process customer reviews/social media to gauge sentiment.
- Benefit: Helps businesses improve products/services based on real-time feedback.
5. Energy Consumption Optimization
- AI-Driven Analytics: Monitor and optimize energy usage in production units.
- Savings: Cuts energy costs by 20–40% through smart recommendations.
4. Automated Quality Control
- Computer Vision: Detect defects in products using image recognition.
- Advantage: Ensures consistent quality while reducing manual inspection costs.
Our Corporate Training Programs
Empowering Businesses with Cutting-Edge AI, Data Science & Analytics Training
We bridge the gap between technology and talent by delivering corporate training programs in Artificial Intelligence (AI), Data Science (DS), and Data Analytics. Our mission is to equip professionals and organizations with the skills needed to harness data-driven decision-making, automate processes, and stay ahead in today’s competitive landscape.
1. AI & Machine Learning (ML) Certification
Topics Covered: Supervised/Unsupervised Learning, Neural Networks, NLP, Computer Vision.
- Hands-On: Real-world projects (e.g., chatbots, predictive models).
- Outcome: Build deployable AI solutions for business automation.
2. Data Science Bootcamp
- Curriculum: Python/R, Statistical Modeling, EDA, Feature Engineering.
- Tools: Pandas, Scikit-learn, TensorFlow, PyTorch.
- Use Case: Transform raw data into actionable insights.
3. Data Analytics for Decision Makers
- Focus: SQL, Tableau/Power BI, A/B Testing, KPI Dashboards.
- Benefit: Enable non-technical teams to interpret and act on data.
4. Big Data & Cloud Analytics
- Tech Stack: Hadoop, Spark, AWS/GCP, Databricks.
- Application: Scalable data pipelines for enterprises.
5. Customized Workshops
- Tailored Content: Industry-specific training (Healthcare, Finance, Retail, etc.).
- Flexible Formats: Onsite/Online, Self-Paced, or Instructor-Led.
College Seminars
Igniting the Future of Tech: University & College Seminars in AI, Data Science & Analytics
We inspire the next generation of innovators through interactive seminars and workshops on Artificial Intelligence (AI), Data Science (DS), and Data Analytics for universities and colleges. Our mission is to bridge academia with industry by delivering cutting-edge knowledge, hands-on experiences, and career-aligned skills to students and faculty.
1. AI & Machine Learning Demystified
- Topics: Fundamentals of AI, ML algorithms, real-world applications (e.g., self-driving cars, ChatGPT).
- Workshop: Build a simple AI model in 60 minutes!
- Goal: Spark interest in AI research and careers.
2. Data Science for Beginners
- Coverage: Python/R basics, data visualization, predictive modeling.
- Toolkit: Pandas, Matplotlib, Scikit-learn.
- Outcome: Students analyze datasets (e.g., COVID trends, stock markets).
3. Big Data & Cloud Computing
- Tech Stack: Hadoop, Spark, AWS/GCP.
- Case Study: How Netflix uses big data for recommendations.
5. Career Pathways in AI & DS
- Panel: Industry experts share insights on internships, jobs, and startups.
- Resume Tips: How to stand out in tech roles.
4. Ethics in AI & Responsible Data Use
- Debate: Bias in AI, privacy concerns, and regulatory frameworks.
- Activity: Group discussion on ethical dilemmas.
FDP- Faculty Development Program
Faculty Development Programs (FDP) in AI, Data Science & Analytics
Empowering Educators to Shape the Future of Technology
We recognize that faculty members are the cornerstone of technological education. Our Faculty Development Programs (FDP) in Artificial Intelligence (AI), Data Science (DS), and Data Analytics are designed to equip university and college educators with cutting-edge knowledge, industry-relevant skills, and innovative teaching methodologies.
Why Our FDP?
✅ Bridging Academia & Industry – Stay updated with the latest AI/DS trends and real-world applications.
✅ Hands-On Learning – Practical labs, case studies, and live projects for experiential teaching.
✅ Curriculum Enhancement – Align course content with industry demands and research advancements.
✅ Certification – Globally recognized certification to boost faculty credentials.
1. AI & Machine Learning for Educators
- Key Topics: Supervised & Unsupervised Learning, Deep Learning, NLP, Computer Vision
- Tools: Python, TensorFlow, PyTorch, Scikit-learn
- Outcome: Develop AI-based teaching aids and research projects
2. Advanced Data Science Techniques
- Key Topics: Big Data Analytics, Statistical Modeling, Feature Engineering
- Tools: Hadoop, Spark, SQL, Pandas
- Outcome: Enhance research papers with data-driven insights
3. Data Visualization & Analytics
- Key Topics: Dashboarding, Predictive Analytics, Business Intelligence
- Tools: Tableau, Power BI, Matplotlib
- Outcome: Create interactive data-driven teaching modules
5. Research & Publication Guidance
- Key Topics: Writing high-impact AI/DS research papers, patent filing, grant proposals
- Mentorship: One-on-one guidance from industry experts
4. Industry 4.0 & AI in Education
- Key Topics: AI-powered smart classrooms, automated grading, chatbots for student support
- Case Studies: How AI is transforming global education systems
AI and Data Strategy Consulting
AI & Data Strategy Consulting for Small-Scale Industries
Unlocking Growth with Smart Data & Artificial Intelligence
We empower small businesses and tiny industries with AI-driven data strategies to optimize operations, reduce costs, and drive revenue growth. Our consulting services bridge the gap between raw data and actionable intelligence, helping you compete smarter in today’s digital economy.
Why Do Small Businesses Need AI & Data Strategy?
Many small-scale industries struggle with:
❌ Unstructured data – Customer records, sales logs, and inventory in disarray
❌ Manual processes – Time-consuming workflows that reduce efficiency
❌ Lack of predictive insights – No foresight into demand, risks, or opportunities
Our AI & Data Strategy Consulting transforms these challenges into competitive advantages.
1. AI-Powered Business Automation
- Automate repetitive tasks (invoicing, inventory tracking, customer support)
- Implement chatbots, RPA (Robotic Process Automation), and smart workflows
2. Data-Driven Decision Making
- Turn sales, customer, and operational data into real-time dashboards
- Predictive analytics for demand forecasting, pricing optimization
3. Customer Insights & Personalization
- AI-based customer segmentation & behavior analysis
- Personalized marketing strategies to boost retention & sales
5. Fraud Detection & Risk Management
- Detect anomalies in transactions, payroll, or procurement
- AI-based risk assessment models for loans/credit decisions
4. Smart Inventory & Supply Chain
- AI models to reduce stockouts & overstocking
- Supplier performance tracking using data analytics
Tab Content
Business Intelligence & Data Visualization services
Business Intelligence & Data Visualization Services
Transform Raw Data into Actionable Insights for Smarter Decisions
We empower small and medium-scale industries (SMEs) with cutting-edge Business Intelligence (BI) & Data Visualization solutions. Our services turn complex data into clear, interactive dashboards and reports, helping businesses uncover trends, optimize operations, and drive growth—without needing a data science team.
Why Do SMEs Need BI & Data Visualization?
Many businesses struggle with:
❌ Data scattered across Excel, ERP, and paper records
❌ No real-time visibility into sales, inventory, or customer behavior
❌ Manual reporting that’s slow, error-prone, and hard to interpret
We solve these challenges with automated, visually intuitive insights tailored to your industry.
1. Interactive Dashboards
- Live tracking of sales, inventory, and operational KPIs
- Drag-and-drop tools for self-service analytics (No coding needed)
- Platforms: Power BI, Tableau, Google Data Studio
2. Automated Reporting
- Replace manual Excel reports with AI-powered auto-updating dashboards
- Scheduled PDF/email reports for stakeholders
3. Predictive Analytics
- Forecast demand, cash flow, and risks using AI models
- Example: Predict which products will sell out next month
5. Data Integration & Cleaning
- Connect ERP, CRM, and Excel into a single source of truth
- Fix missing/duplicate data for accurate reporting
4. Industry-Specific Solutions
- Retail: Customer buying patterns, shelf optimization
- Manufacturing: Equipment efficiency, supply chain delays
- Healthcare: Patient wait times, resource allocation
Internship and Project Guidance
AI & Data Science Internship & Project Guidance
Launch Your Career with Hands-On Industry Experience
We bridge the gap between academic learning and real-world AI & Data Science applications through structured internships and project guidance for college/university students. Our programs equip students with industry-relevant skills, mentorship, and certification to boost their employability in the fast-growing tech landscape.
Why Choose Our Internship & Project Guidance?
✅ Learn from Industry Experts – Get mentored by AI/DS professionals
✅ Work on Live Projects – Solve real business problems using data
✅ Build a Strong Portfolio – GitHub, Kaggle, and LinkedIn-ready projects
✅ Get Certified – Earn recognition from industry leaders
✅ Placement Assistance – Connect with our hiring partners
1. AI & Machine Learning Internship
- Skills Gained: Python, TensorFlow, NLP, Computer Vision
- Projects: Chatbots, Predictive Models, Fraud Detection Systems
- Duration: 4/8/12 Weeks (Flexible)
2. Data Science & Analytics Training
- Skills Gained: Data Cleaning, Visualization, Statistical Modeling
- Tools: Pandas, Tableau, SQL, Scikit-learn
- Projects: Sales Forecasting, Sentiment Analysis, Customer Segmentation
3. Big Data & Cloud Computing
- Skills Gained: Hadoop, Spark, AWS/GCP
- Projects: Large-Scale Data Processing, ETL Pipelines
How It Works?
1. Apply – Fill out a simple interest form
2. Onboard – Get matched with a mentor & project
3. Learn & Build – Weekly sessions + hands-on tasks
4. Certify & Showcase – Present your work & earn certification
4. Capstone Project Guidance
- For Final-Year Students – End-to-end project development
- Domains: Healthcare, Finance, Retail, IoT
- Support: Research Paper Writing & Patent Filing Assistance
Data Science Bootcamps
Data Science Bootcamps
Accelerate Your Career in AI & Data Science with Hands-On Training.
At Data Science in Tamil, we transform beginners into job-ready Data Scientists through our intensive, project-driven Data Science Bootcamps. Whether you're a student, professional, or career switcher, our bootcamps equip you with real-world skills, industry mentorship, and portfolio-worthy projects to land your dream role in tech.
Why Join Our Data Science Bootcamp?
✅Learn from Industry Experts – Get trained by AI/ML professionals from top companies
✅Master In-Demand Tools – Python, SQL, TensorFlow, Tableau, and more
✅Build a Strong Portfolio – Complete 5+ real-world projects (Kaggle-style datasets)
✅Career Support – Resume reviews, mock interviews, and placement assistance
✅Flexible Learning – Online/Offline | Full-time/Part-time
1. Foundations of Data Science
- Python Programming (Pandas, NumPy)
- Statistics & Probability for ML
- Data Cleaning & Exploratory Analysis
2. Machine Learning & AI
- Supervised & Unsupervised Learning
- NLP, Computer Vision, and Deep Learning
- Model Deployment (Flask, AWS)
3. Big Data & Visualization
- SQL & NoSQL Databases
- Power BI/Tableau Dashboards
- Hadoop & Spark Basics
5. Who Should Attend?
-Students (Engineering, BCA/MCA, BSc/MSc)
-Working Professionals (IT, Analysts, Domain Experts)
-Career Switchers (Non-tech to Data Science)
-No prior coding experience? We cover basics first!
4. Capstone Project
- Solve a real business problem (Healthcare, Finance, E-commerce)
- GitHub Portfolio & Live Demo
AI Literacy for Non-Technical Students
Demystifying Artificial Intelligence for Everyone
We believe AI is for all—not just engineers! Our AI Literacy Program empowers non-technical students with a clear, jargon-free understanding of artificial intelligence, its real-world applications, and how it will shape their future careers—no coding required!
Why Should Non-Tech Students Learn About AI?
🔹 AI is everywhere – From healthcare to marketing, AI transforms all fields
🔹 Future-proof your career – Basic AI knowledge is becoming as essential as computer skills
🔹 Make informed decisions – Navigate an AI-driven world confidently
1. AI Fundamentals Made Simple
- What is AI, ML, and Deep Learning? (With fun analogies!)
- How ChatGPT, recommendation systems, and facial recognition work
2. AI in Your Field
- Business: AI for market forecasting, customer service bots
- Healthcare: Diagnosing diseases with AI imaging
- Arts & Media: Generative AI tools like DALL-E, Midjourney
- Social Sciences: Bias in algorithms, policy implications
3. Hands-On Experience
- Try no-code AI tools (e.g., Teachable Machine, Canva’s AI features)
- Analyze real-world case studies (Netflix recommendations, Spotify playlists)
5. How We Teach
- Zero Math/Code – Concepts explained through stories and visuals
- Interactive Workshops – Group activities, quizzes, and AI tool demos
- Guest Speakers – Hear from non-tech professionals using AI in their work
4. Ethics & Responsible AI
- Privacy concerns, deepfake dangers, and job market shifts
- Debate: "Should AI replace human decision-making?"
Our Key Projects & Solutions
Innovating with AI, Data Science & Analytics for Small-Scale Industries
We empower small-scale and tiny industries with cutting-edge Artificial Intelligence (AI), Data Science (DS), and Data Analytics solutions tailored to your unique needs. Our mission is to bridge the technological gap for smaller enterprises by delivering affordable, scalable, and actionable insights that drive growth, efficiency, and competitiveness.
1. Predictive Maintenance for Manufacturing
- AI/ML Models: Predict equipment failures using sensor data to minimize downtime.
- Impact: Reduces maintenance costs by 30% and extends machinery lifespan.
2. Demand Forecasting for Retailers
- Data Analytics: Analyze sales trends, seasonality, and external factors (e.g., weather).
- Outcome: Optimizes inventory and reduces waste by 25%.
3. Customer Sentiment Analysis
- NLP & AI: Process customer reviews/social media to gauge sentiment.
- Benefit: Helps businesses improve products/services based on real-time feedback.
5. Energy Consumption Optimization
- AI-Driven Analytics: Monitor and optimize energy usage in production units.
- Savings: Cuts energy costs by 20–40% through smart recommendations.
4. Automated Quality Control
- Computer Vision: Detect defects in products using image recognition.
- Advantage: Ensures consistent quality while reducing manual inspection costs.
Our Corporate Training Programs
Empowering Businesses with Cutting-Edge AI, Data Science & Analytics Training
We bridge the gap between technology and talent by delivering corporate training programs in Artificial Intelligence (AI), Data Science (DS), and Data Analytics. Our mission is to equip professionals and organizations with the skills needed to harness data-driven decision-making, automate processes, and stay ahead in today’s competitive landscape.
1. AI & Machine Learning (ML) Certification
Topics Covered: Supervised/Unsupervised Learning, Neural Networks, NLP, Computer Vision.
- Hands-On: Real-world projects (e.g., chatbots, predictive models).
- Outcome: Build deployable AI solutions for business automation.
2. Data Science Bootcamp
- Curriculum: Python/R, Statistical Modeling, EDA, Feature Engineering.
- Tools: Pandas, Scikit-learn, TensorFlow, PyTorch.
- Use Case: Transform raw data into actionable insights.
3. Data Analytics for Decision Makers
- Focus: SQL, Tableau/Power BI, A/B Testing, KPI Dashboards.
- Benefit: Enable non-technical teams to interpret and act on data.
4. Big Data & Cloud Analytics
- Tech Stack: Hadoop, Spark, AWS/GCP, Databricks.
- Application: Scalable data pipelines for enterprises.
5. Customized Workshops
- Tailored Content: Industry-specific training (Healthcare, Finance, Retail, etc.).
- Flexible Formats: Onsite/Online, Self-Paced, or Instructor-Led.
College Seminars
Igniting the Future of Tech: University & College Seminars in AI, Data Science & Analytics
We inspire the next generation of innovators through interactive seminars and workshops on Artificial Intelligence (AI), Data Science (DS), and Data Analytics for universities and colleges. Our mission is to bridge academia with industry by delivering cutting-edge knowledge, hands-on experiences, and career-aligned skills to students and faculty.
1. AI & Machine Learning Demystified
- Topics: Fundamentals of AI, ML algorithms, real-world applications (e.g., self-driving cars, ChatGPT).
- Workshop: Build a simple AI model in 60 minutes!
- Goal: Spark interest in AI research and careers.
2. Data Science for Beginners
- Coverage: Python/R basics, data visualization, predictive modeling.
- Toolkit: Pandas, Matplotlib, Scikit-learn.
- Outcome: Students analyze datasets (e.g., COVID trends, stock markets).
3. Big Data & Cloud Computing
- Tech Stack: Hadoop, Spark, AWS/GCP.
- Case Study: How Netflix uses big data for recommendations.
5. Career Pathways in AI & DS
- Panel: Industry experts share insights on internships, jobs, and startups.
- Resume Tips: How to stand out in tech roles.
4. Ethics in AI & Responsible Data Use
- Debate: Bias in AI, privacy concerns, and regulatory frameworks.
- Activity: Group discussion on ethical dilemmas.
FDP- Faculty Development Program
Faculty Development Programs (FDP) in AI, Data Science & Analytics
Empowering Educators to Shape the Future of Technology
We recognize that faculty members are the cornerstone of technological education. Our Faculty Development Programs (FDP) in Artificial Intelligence (AI), Data Science (DS), and Data Analytics are designed to equip university and college educators with cutting-edge knowledge, industry-relevant skills, and innovative teaching methodologies.
Why Our FDP?
✅ Bridging Academia & Industry – Stay updated with the latest AI/DS trends and real-world applications.
✅ Hands-On Learning – Practical labs, case studies, and live projects for experiential teaching.
✅ Curriculum Enhancement – Align course content with industry demands and research advancements.
✅ Certification – Globally recognized certification to boost faculty credentials.
1. AI & Machine Learning for Educators
- Key Topics: Supervised & Unsupervised Learning, Deep Learning, NLP, Computer Vision
- Tools: Python, TensorFlow, PyTorch, Scikit-learn
- Outcome: Develop AI-based teaching aids and research projects
2. Advanced Data Science Techniques
- Key Topics: Big Data Analytics, Statistical Modeling, Feature Engineering
- Tools: Hadoop, Spark, SQL, Pandas
- Outcome: Enhance research papers with data-driven insights
3. Data Visualization & Analytics
- Key Topics: Dashboarding, Predictive Analytics, Business Intelligence
- Tools: Tableau, Power BI, Matplotlib
- Outcome: Create interactive data-driven teaching modules
5. Research & Publication Guidance
- Key Topics: Writing high-impact AI/DS research papers, patent filing, grant proposals
- Mentorship: One-on-one guidance from industry experts
4. Industry 4.0 & AI in Education
- Key Topics: AI-powered smart classrooms, automated grading, chatbots for student support
- Case Studies: How AI is transforming global education systems
AI and Data Strategy Consulting
AI & Data Strategy Consulting for Small-Scale Industries
Unlocking Growth with Smart Data & Artificial Intelligence
We empower small businesses and tiny industries with AI-driven data strategies to optimize operations, reduce costs, and drive revenue growth. Our consulting services bridge the gap between raw data and actionable intelligence, helping you compete smarter in today’s digital economy.
Why Do Small Businesses Need AI & Data Strategy?
Many small-scale industries struggle with:
❌ Unstructured data – Customer records, sales logs, and inventory in disarray
❌ Manual processes – Time-consuming workflows that reduce efficiency
❌ Lack of predictive insights – No foresight into demand, risks, or opportunities
Our AI & Data Strategy Consulting transforms these challenges into competitive advantages.
1. AI-Powered Business Automation
- Automate repetitive tasks (invoicing, inventory tracking, customer support)
- Implement chatbots, RPA (Robotic Process Automation), and smart workflows
2. Data-Driven Decision Making
- Turn sales, customer, and operational data into real-time dashboards
- Predictive analytics for demand forecasting, pricing optimization
3. Customer Insights & Personalization
- AI-based customer segmentation & behavior analysis
- Personalized marketing strategies to boost retention & sales
5. Fraud Detection & Risk Management
- Detect anomalies in transactions, payroll, or procurement
- AI-based risk assessment models for loans/credit decisions
4. Smart Inventory & Supply Chain
- AI models to reduce stockouts & overstocking
- Supplier performance tracking using data analytics
Tab Content
Business Intelligence & Data Visualization services
Business Intelligence & Data Visualization Services
Transform Raw Data into Actionable Insights for Smarter Decisions
We empower small and medium-scale industries (SMEs) with cutting-edge Business Intelligence (BI) & Data Visualization solutions. Our services turn complex data into clear, interactive dashboards and reports, helping businesses uncover trends, optimize operations, and drive growth—without needing a data science team.
Why Do SMEs Need BI & Data Visualization?
Many businesses struggle with:
❌ Data scattered across Excel, ERP, and paper records
❌ No real-time visibility into sales, inventory, or customer behavior
❌ Manual reporting that’s slow, error-prone, and hard to interpret
We solve these challenges with automated, visually intuitive insights tailored to your industry.
1. Interactive Dashboards
- Live tracking of sales, inventory, and operational KPIs
- Drag-and-drop tools for self-service analytics (No coding needed)
- Platforms: Power BI, Tableau, Google Data Studio
2. Automated Reporting
- Replace manual Excel reports with AI-powered auto-updating dashboards
- Scheduled PDF/email reports for stakeholders
3. Predictive Analytics
- Forecast demand, cash flow, and risks using AI models
- Example: Predict which products will sell out next month
5. Data Integration & Cleaning
- Connect ERP, CRM, and Excel into a single source of truth
- Fix missing/duplicate data for accurate reporting
4. Industry-Specific Solutions
- Retail: Customer buying patterns, shelf optimization
- Manufacturing: Equipment efficiency, supply chain delays
- Healthcare: Patient wait times, resource allocation
Internship and Project Guidance
AI & Data Science Internship & Project Guidance
Launch Your Career with Hands-On Industry Experience
We bridge the gap between academic learning and real-world AI & Data Science applications through structured internships and project guidance for college/university students. Our programs equip students with industry-relevant skills, mentorship, and certification to boost their employability in the fast-growing tech landscape.
Why Choose Our Internship & Project Guidance?
✅ Learn from Industry Experts – Get mentored by AI/DS professionals
✅ Work on Live Projects – Solve real business problems using data
✅ Build a Strong Portfolio – GitHub, Kaggle, and LinkedIn-ready projects
✅ Get Certified – Earn recognition from industry leaders
✅ Placement Assistance – Connect with our hiring partners
1. AI & Machine Learning Internship
- Skills Gained: Python, TensorFlow, NLP, Computer Vision
- Projects: Chatbots, Predictive Models, Fraud Detection Systems
- Duration: 4/8/12 Weeks (Flexible)
2. Data Science & Analytics Training
- Skills Gained: Data Cleaning, Visualization, Statistical Modeling
- Tools: Pandas, Tableau, SQL, Scikit-learn
- Projects: Sales Forecasting, Sentiment Analysis, Customer Segmentation
3. Big Data & Cloud Computing
- Skills Gained: Hadoop, Spark, AWS/GCP
- Projects: Large-Scale Data Processing, ETL Pipelines
How It Works?
1. Apply – Fill out a simple interest form
2. Onboard – Get matched with a mentor & project
3. Learn & Build – Weekly sessions + hands-on tasks
4. Certify & Showcase – Present your work & earn certification
4. Capstone Project Guidance
- For Final-Year Students – End-to-end project development
- Domains: Healthcare, Finance, Retail, IoT
- Support: Research Paper Writing & Patent Filing Assistance
Data Science Bootcamps
Data Science Bootcamps
Accelerate Your Career in AI & Data Science with Hands-On Training.
At Data Science in Tamil, we transform beginners into job-ready Data Scientists through our intensive, project-driven Data Science Bootcamps. Whether you're a student, professional, or career switcher, our bootcamps equip you with real-world skills, industry mentorship, and portfolio-worthy projects to land your dream role in tech.
Why Join Our Data Science Bootcamp?
✅Learn from Industry Experts – Get trained by AI/ML professionals from top companies
✅Master In-Demand Tools – Python, SQL, TensorFlow, Tableau, and more
✅Build a Strong Portfolio – Complete 5+ real-world projects (Kaggle-style datasets)
✅Career Support – Resume reviews, mock interviews, and placement assistance
✅Flexible Learning – Online/Offline | Full-time/Part-time
1. Foundations of Data Science
- Python Programming (Pandas, NumPy)
- Statistics & Probability for ML
- Data Cleaning & Exploratory Analysis
2. Machine Learning & AI
- Supervised & Unsupervised Learning
- NLP, Computer Vision, and Deep Learning
- Model Deployment (Flask, AWS)
3. Big Data & Visualization
- SQL & NoSQL Databases
- Power BI/Tableau Dashboards
- Hadoop & Spark Basics
5. Who Should Attend?
-Students (Engineering, BCA/MCA, BSc/MSc)
-Working Professionals (IT, Analysts, Domain Experts)
-Career Switchers (Non-tech to Data Science)
-No prior coding experience? We cover basics first!
4. Capstone Project
- Solve a real business problem (Healthcare, Finance, E-commerce)
- GitHub Portfolio & Live Demo
AI Literacy for Non-Technical Students
Demystifying Artificial Intelligence for Everyone
We believe AI is for all—not just engineers! Our AI Literacy Program empowers non-technical students with a clear, jargon-free understanding of artificial intelligence, its real-world applications, and how it will shape their future careers—no coding required!
Why Should Non-Tech Students Learn About AI?
🔹 AI is everywhere – From healthcare to marketing, AI transforms all fields
🔹 Future-proof your career – Basic AI knowledge is becoming as essential as computer skills
🔹 Make informed decisions – Navigate an AI-driven world confidently
1. AI Fundamentals Made Simple
- What is AI, ML, and Deep Learning? (With fun analogies!)
- How ChatGPT, recommendation systems, and facial recognition work
2. AI in Your Field
- Business: AI for market forecasting, customer service bots
- Healthcare: Diagnosing diseases with AI imaging
- Arts & Media: Generative AI tools like DALL-E, Midjourney
- Social Sciences: Bias in algorithms, policy implications
3. Hands-On Experience
- Try no-code AI tools (e.g., Teachable Machine, Canva’s AI features)
- Analyze real-world case studies (Netflix recommendations, Spotify playlists)
5. How We Teach
- Zero Math/Code – Concepts explained through stories and visuals
- Interactive Workshops – Group activities, quizzes, and AI tool demos
- Guest Speakers – Hear from non-tech professionals using AI in their work
4. Ethics & Responsible AI
- Privacy concerns, deepfake dangers, and job market shifts
- Debate: "Should AI replace human decision-making?"