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AI, Data Science & Cloud Technology Courses

AI, Data Science & Cloud Technology Courses by Kalpra Academy

Kalpra Academy offers industry-aligned training programs in Artificial Intelligence, Data Science, Generative AI, Agentic AI, Cloud Computing, and Modern Analytics. Each course is designed with both beginner and advanced learners in mind, offering flexible learning formats (online and offline), hands-on projects, mentorship, and job placement support.

  • Covers supervised, unsupervised, and reinforcement learning techniques.
  • Hands-on with Python, Scikit-learn, TensorFlow, and model deployment.
  • Ideal for software engineers, analysts, and aspiring AI developers.
  • Learn data wrangling, EDA, machine learning, and visualization.
  • Projects using Pandas, NumPy, Seaborn, Matplotlib, and Scikit-learn.
  • Career support included for roles like Data Analyst and Data Scientist.
  • Master foundation models like GPT, Claude, Gemini, and LLaMA.
  • Train on prompt engineering, zero/few-shot learning, and model APIs.
  • Use tools such as OpenAI, LangChain, Hugging Face, and Pinecone.
  • Understand autonomous agent workflows using tools like AutoGPT, BabyAGI, and CrewAI.
  • Develop multi-agent systems with memory, tool access, and task execution.
  • Ideal for AI engineers building next-gen automation apps.
  • Craft effective prompts for LLMs across chat, code, and image domains.
  • Covers context-aware prompting, chain-of-thought reasoning, and eval strategies.
  • Includes access to live prompt testing labs and real-world use cases.
  • End-to-end training on data pipelines, ETL, batch & stream processing.
  • Hands-on with SQL, Apache Airflow, Spark, Kafka, and DBT.
  • Great for roles in Big Data and platform engineering.
  • Learn Excel, SQL, Power BI, Tableau, and Python for data storytelling.
  • Projects focus on KPIs, dashboards, and decision-making use cases.
  • Suitable for business analysts, project managers, and startup founders.
  • Train on core AWS services: EC2, S3, Lambda, SageMaker, and Glue.
  • Deploy AI/ML models on AWS cloud infrastructure.
  • Prepares you for AWS Cloud Practitioner and Machine Learning certification tracks.
  • Covers Azure AI services, OpenAI on Azure, Azure ML Studio, and cognitive APIs.
  • Build and deploy models with MLOps pipelines on Azure.
  • Prepares you for Microsoft Certified Azure AI Engineer Associate exam.

All Kalpra Academy programs include live expert sessions, recorded lessons, project mentorship, and career support. Students may enroll in either fully online cohorts or offline classroom sessions across our partner locations. Enroll today and start your journey toward a future-ready tech career!

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Frequently Asked Question

AI in data science automates complex tasks like pattern recognition and predictive modeling. Machine learning algorithms analyze vast datasets to uncover insights, make predictions, and optimize decision-making. AI enhances data processing efficiency, enables advanced analytics, and supports data-driven decision-making, revolutionizing the field of data science.

In general programming, we have the data and the logic by using these two we create the answers. But in machine learning, we have the data and the answers and we let the machine learn the logic from them so, that the same logic can be used to answer the questions which will be faced in the future. Also, there are times when writing logic in codes is not possible so, at those times machine learning becomes a saviour and learns the logic itself

"With our data science course, you'll master essential skills in Python, power BI and machine learning. Analyse data, create insightful visualizations, and apply statistical techniques. Gain hands-on experience with real-world projects, fostering critical problem-solving skills. Acquire the knowledge to excel in diverse data-driven roles and drive innovation in any industry.

Python is known for its simplicity, readability, and versatility. It supports object-oriented, imperative, and functional programming styles. Its extensive standard library facilitates diverse tasks. Dynamic typing and automatic memory management enhance development speed. Python is widely used for web development, data science, machine learning, and automation.

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