Build understanding.
Then put it into practice.
Connect data science with intelligent systems, predictive models and modern AI applications. Explore the program topics below and speak with our team about the next batch, prerequisites and enrollment.
Who should join
Learners exploring data science and artificial intelligence. Our team can help you assess which starting point fits your background.
Skills you’ll gain
Your curriculum, at a glance.
Explore the learning areas in this program.
01Python for Data Science
Learn Python programming fundamentals, libraries, and tools used for modern Data Science, AI, and Machine Learning applications.
02Data Analysis & Visualization
Analyze and visualize datasets using NumPy, Pandas, Matplotlib, and Seaborn to uncover business insights and trends.
03Machine Learning Algorithms
Learn supervised and unsupervised learning techniques including regression, classification, clustering, and model evaluation.
04Artificial Intelligence Fundamentals
Understand AI concepts, intelligent systems, automation, and real-world AI applications across industries.
05Deep Learning & Neural Networks
Build neural network models and deep learning systems using TensorFlow and Keras for advanced AI solutions.
06Natural Language Processing
Develop NLP applications including chatbots, text analysis, sentiment analysis, and language understanding systems.
07Predictive Analytics & AI Models
Create predictive models and AI-powered solutions for forecasting, recommendations, and intelligent decision-making.
08Real-Time AI & Data Science Projects
Work on industry-level projects involving analytics dashboards, AI systems, recommendation engines, and automation tools.
Projects & practical learning
Work on industry-level projects involving analytics dashboards, AI systems, recommendation engines, and automation tools.
Certification
Certification is available upon successful program completion. Ask our team about the requirements for your selected track.
Connect skills to possibilities.
Relevant areas to explore include data science, predictive analytics and AI development. Career guidance and placement support help you prepare for your next step; employment is not guaranteed.
Sneha Desai
Connect with the Kalpra team for batch-specific mentor and schedule information.
Frequently asked questions
How long is the program?+
The published duration is 14 weeks. Confirm the current schedule and available learning format with our team before enrolling.
Do I need prior experience?+
The right starting point depends on your background and selected program. Talk to our team for prerequisite guidance and a readiness assessment.
How do I enroll?+
Use Enroll Now to visit the existing Kalpra enrollment platform, or contact the team to discuss fees, the next batch and your learning goals.
Is placement support included?+
Kalpra Academy provides career guidance and placement support. Support is not a guarantee of employment; our team can explain what is included in your selected program.