courses

As an AI Research Scientist, you’ll be at the forefront of technological innovation, pushing the boundaries of what’s possible. You’ll work on cutting-edge projects, developing groundbreaking AI models and applications.

Here’s what you can expect:
  • Pioneering Research: Conduct original research to advance the field of AI.
  • Solving Real-World Problems: Apply AI to tackle challenges in healthcare, finance, and more.
  • Collaborating with Experts:Work with brilliant minds from around the world.
  • High-Impact Work: Contribute to the development of technologies that will shape the future.

If you’re passionate about AI and have a knack for problem-solving, a career as an AI Research Scientist is the perfect path for you.

As a Data Architect, you’ll be the visionary behind complex data systems. You’ll design and implement data models, databases, and data integration solutions that power businesses and organizations.

Here’s what you can expect:
  • Crafting Data Landscapes: Design robust and scalable data architectures.
  • Ensuring Data Quality: Implement data governance and quality control measures.
  • Driving Data-Driven Decisions: Enable organizations to make informed decisions based on data.
  • Collaborating with Teams: Work closely with data engineers, analysts, and business stakeholders.

If you’re passionate about data and have a knack for problem-solving, a career as a Data Architect is the perfect fit.

As a Cloud Data Engineer, you’ll be at the forefront of data innovation, building and managing scalable data pipelines on cloud platforms. You’ll work with big data technologies to extract, transform, and load data, enabling data-driven insights and decision-making.

Here’s what you can expect:
  • Designing Data Pipelines: Build efficient and reliable data pipelines to process large volumes of data.
  • Leveraging Cloud Technologies: Utilize cloud platforms like AWS, Azure, or GCP to deploy and manage data solutions.
  • Mastering Big Data Tools: Work with tools like Hadoop, Spark, and Kafka to handle big data challenges.
  • Enabling Data-Driven Insights: Transform raw data into actionable insights that drive business growth.

If you’re passionate about data and cloud technologies, a career as a Cloud Data Engineer is the perfect opportunity to shape the future of data-driven businesses.

As a Big Data Engineer, you’ll be the wrangler of massive datasets. You’ll build and maintain robust data pipelines, process vast amounts of data, and extract valuable insights.

Here’s what you can expect:
  • Taming the Data Beast: Handle massive datasets with ease using tools like Hadoop, Spark, and Kafka.
  • Building Data Pipelines: Design and implement efficient data pipelines to extract, transform, and load data.
  • Unleashing Data’s Power: Transform raw data into actionable insights that drive business decisions.
  • Mastering Cloud Technologies: Leverage cloud platforms like AWS, Azure, and GCP to build scalable data solutions.

If you’re passionate about data and have a knack for problem-solving, a career as a Big Data Engineer is the perfect opportunity to harness the power of data.

  • Estimated time to complete

    120 + Hours- 20 Weeks

  • Weekdays

    2 Hours of Class, three days a week

  • Weekend

    3 Hours of Class,two days a week
  • 5-6 Months
Application

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