Master the skills to build, train, and deploy advanced neural network models.
Our comprehensive Data Science with AI course equips you with the skills to collect, process, analyze, and interpret complex data sets while integrating the power of Artificial Intelligence. Learn to build predictive models, apply machine learning and deep learning techniques, leverage AI tools, and extract meaningful insights that solve real-world business problems.
This program covers the complete data science and AI pipeline—from data collection and cleaning to advanced modeling, AI-driven automation, and visualization. Perfect for aspiring data scientists, AI engineers, and analysts who want to master Python programming, statistical analysis, machine learning, and artificial intelligence fundamentals.
This course is designed for anyone looking to build a career in Deep learning
Engineering, mathematics, CS, or related backgrounds ready to specialize in AI.
To deepen capabilities into advanced modeling, deep architectures, and deployment.
Those wanting to transition into AI & deep learning roles.
Professionals from any field with analytical mindset ready to build data science skills.
Discover the advantages of learning deep learning with Knodics
Master the complete deep learning From building neural networks to deploying them in real systems.
You’ll build models and solutions across computer vision, NLP, and sequence modeling.
Taught by industry professionals working on real AI products.
Interview preparation, resume guidance, job referrals, and more.
Master the essential data science tools and technologies
Comprehensive 6-Month Curriculum Covering Data Science & AI Skills
• Python fundamentals, data structures, functions, OOP
concepts.
• Libraries for data analysis & AI (NumPy, Pandas,
Matplotlib, Scikit-learn)
• Data cleaning, wrangling, and transformation
• Handling missing values, outliers, and categorical
encoding
• Advanced data manipulation with Pandas & NumPy
• Statistical analysis & hypothesis generation
• Probability distributions, sampling & inference
• Data visualization using Matplotlib, Seaborn, and Plotly
• Supervised learning: Regression & Classification models
• Unsupervised learning: Clustering & Dimensionality
Reduction
• Model evaluation, cross-validation & performance metrics
• Introduction to Neural Networks & Deep Learning
• TensorFlow & PyTorch basics
• Applications of AI in NLP, Computer Vision, and
Recommendation Systems
• Feature selection & extraction techniques
• Handling imbalanced data
• Hyperparameter tuning & optimization strategies
• Building APIs for ML/AI models
• Deployment with Flask, FastAPI, or Streamlit
• Cloud deployment (AWS/GCP/Azure basics) & model monitoring
• End-to-end project solving a real-world AI/Data Science
problem
• Dataset exploration → Model building → AI integration →
Deployment
• Presentation & review by mentors
Your 6-Month Journey to Becoming a Data Science & AI Professional
• Master Python programming basics (data types, functions,
OOP)
•Learn essential libraries: NumPy, Pandas, Matplotlib Work
with
•datasets for cleaning and manipulation
• Exploratory Data Analysis (EDA) techniques
• Statistical summaries & hypothesis generation
• Visual storytelling with Matplotlib, Seaborn, and Plotly
• Probability distributions & hypothesis testing
• Regression analysis & statistical inference
• Case studies with real-world datasets
• Supervised learning (Regression, Classification)
• Unsupervised learning (Clustering, Dimensionality
Reduction)
• Model training, evaluation, and optimization
• Neural networks & deep learning basics
• TensorFlow & PyTorch introduction
• Applications in NLP, Computer Vision & Recommendations
• End-to-end AI/Data Science project with deployment
• Building APIs & cloud deployment (AWS/GCP/Azure basics)
• Resume building, interview prep & mock sessions
Learn from industry professionals with extensive experience
Expert in machine learning, statistical modeling, and Python programming with extensive training experience.
9+ years experience in data analysis, visualization, and business intelligence solutions.
Specialist in machine learning model development and deployment in production environments.
15+ years in data science leadership roles across multiple industries and domains.
Industry-recognized certification in Data Science
This is to certify that
has successfully completed the
with hands-on projects and practical assessments
Hear from our successful data science graduates
The hands-on approach and real-world projects helped me build a strong portfolio. I landed a data scientist role at a top company within a month of completing the course.
Coming from a non-technical background, I was worried about learning data science. The step-by-step approach and mentor support made it accessible and enjoyable.
Get answers to common questions about our Data Science course
Join our comprehensive data science program and transform your career. Learn to extract valuable insights from data and solve complex business problems.
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