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Explore the practical applications of generative AI on Azure Databricks. Participants gain hands-on experience in developing AI pipelines, managing datasets, and deploying models for automation, data generation, and analytics solutions.
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Overview
Learn how to design, build, and deploy generative AI solutions using Azure Databricks. This course empowers data and AI professionals to implement AI pipelines, train models, and apply generative AI techniques to real-world use cases.
Instructor-led training
Personal Learning Path
Email, chat and phone support
Who is this course for?
This course is aimed at AI engineers, data scientists, and IT professionals who want to implement practical generative AI solutions using Azure Databricks. It is suitable for individuals and teams interested in building AI pipelines, training models, and applying generative AI techniques to real-world use cases, including automation, synthetic data generation, and advanced analytics, regardless of prior AI engineering experience.
Curriculum
Preparation
At Readynez, we provide many resources and have experienced experts in the field. That is why we are also very successful with many satisfied customers. You can therefore safely take your course with us.
In order to take the Implement Generative AI engineering with Azure Databricks (DP-3028) course, however, some prerequisites are required:
Basic Python programming knowledge
Understanding of data analysis concepts and cloud computing fundamentals (Azure preferred)
No prior AI engineering experience required
Meet some of the Readynez Instructors you can meet on your course. They are experts, passionate about what they do, and dedicated to give back to their industry, their field, and those who want to learn, explore, and advance in their careers.
Michel excels with a vast expertise in the fields of consulting, training and project management.
Julian Sharp delivers high-quality, LIVE instructor-led training in Microsoft Dynamics 365 and Power Platform for professionals seeking real-world skills and certification readiness. With decades of industry experience and deep technical expertise, he helps learners master complex solutions efficiently.
FAQ
This course equips professionals with the skills to design, implement, and optimize generative AI solutions using Azure Databricks. The training is hands-on but does not offer certification or require an exam.
Preparation involves understanding basic AI and data concepts. Familiarity with Python or data pipelines will help, but there are no mandatory prerequisites.
No formal prerequisites are required. Prior experience with Python, data analysis, or AI concepts can enhance your learning experience.
The course costs €705, covering all training materials. No additional fees for exams or certifications apply.
Topics include building AI pipelines, training generative models, implementing AI workflows in Azure Databricks, and using practical exercises to solve real-world problems.
There is no certification, but the practical skills gained help AI engineers, data scientists, and IT professionals build generative AI solutions effectively.
The course is completed in one day, offering intensive, focused, and practical training.
Yes, the course is available online, providing flexibility to learn at your convenience.
The course is designed for professionals with varying levels of AI experience. Hands-on exercises simplify the implementation of generative AI solutions.
No passing score is required, as there is no exam for this course.
Keep practicing with AI models in Azure Databricks, follow the latest AI trends, and experiment with new generative techniques.
Salaries vary by role and experience, but AI engineers and data scientists skilled in generative AI are highly in demand, often commanding competitive compensation.
Reviews
Easy to attend over Teams and an excellent instructor gave me great value for the time I invested.
Readynez is the best training provider I've used for many years. Their customer service is first class, prices are very competitive and instruction excellent.
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