When does class start/end?
Class hours may vary, please reach out to contact@ascendientlearning.com if you have any questions.
Generative AI Engineering with Databricks
This course is aimed at data scientists, machine learning engineers, and other data practitioners who want to build generative AI applications using the latest and most popular frameworks and...
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$1,500 USD
Duration
2 days
Course Code
GENAIGENGG
Available Formats
Classroom, Virtual
Overview
This course is aimed at data scientists, machine learning engineers, and other data practitioners who want to build generative AI applications using the latest and most popular frameworks and Databricks capabilities. Below, we describe each of the four, four-hour modules included in this course.
- Generative AI Solution Development: This is your introduction to contextual generative AI solutions using the retrieval-augmented generation (RAG) method. First, you’ll be introduced to RAG architecture and the significance of contextual information using Mosaic AI Playground. Next, we’ll show you how to prepare data for generative AI solutions and connect this process with building a RAG architecture. Finally, you’ll explore concepts related to context embedding, vectors, vector databases, and the utilization of Mosaic AI Vector Search.
- Generative AI Application Development: Ready for information and practical experience in building advanced LLM applications using multi-stage reasoning LLM chains and agents? In this module, you'll first learn how to decompose a problem into its components and select the most suitable model for each step to enhance business use cases. Following this, we’ll show you how to construct a multi-stage reasoning chain utilizing LangChain and HuggingFace transformers. Finally, you’ll be introduced to agents and will design an autonomous agent using generative models on Databricks.
- Generative AI Application Evaluation and Governance: This is your introduction to evaluating and governing generative AI systems. First, you’ll explore the meaning behind and motivation for building evaluation and governance/security systems. Next, we’ll connect evaluation and governance systems to the Databricks Data Intelligence Platform. Third, we’ll teach you about a variety of evaluation techniques for specific components and types of applications. Finally, the course will conclude with an analysis of evaluating entire AI systems with respect to performance and cost.
- Generative AI Application Deployment and Monitoring: Ready to learn how to deploy, operationalize, and monitor generative deploying, operationalizing, and monitoring generative AI applications? This module will help you gain skills in the deployment of generative AI applications using tools like Model Serving. We’ll also cover how to operationalize generative AI applications following best practices and recommended architectures. Finally, we’ll discuss the idea of monitoring generative AI applications and their components using Lakehouse Monitoring.
Skills Gained
There are four, half-day modules that make up this course. Please see the learning objectives for each of these modules, below:
Prerequisites
- Familiarity with natural language processing concepts
- Familiarity with prompt engineering/prompt engineering best practices
- Familiarity with the Databricks Data Intelligence Platform
- Familiarity with RAG (preparing data, building a RAG architecture, concepts like embedding, vectors, vector databases, etc.)
- Experience with building LLM applications using multi-stage reasoning LLM chains and agents
- Familiarity with Databricks Data Intelligence Platform tools for evaluation and governance
Course Details
Generative AI Solution Development
- Describe RAG architecture.
- Use Mosaic AI Playground to explore the significance of contextual information.
- Prepare data for generative AI solutions.
- Connect data preparation for generative AI solutions to building a RAG architecture.
- Describe fundamental concepts about context embedding, vectors, vector databases, and the utilization of Mosaic AI Vector search.
Generative AI Application Development
- Explain how to decompose a problem into its components and select the most suitable model for each step to enhance business use cases.
- Construct a multi-stage reasoning chain utilizing LangChain and HuggingFace transformers.
- Design an autonomous agent using generative models on Databricks.
Generative AI Solution Development
- Introduction to RAG
- Preparing Data for RAG Solutions
- Vector Search
- Assembling and Evaluating a RAG Application
Generative AI Application Development
- Foundations of Compound AI Systems
- Building Multi-Stage Reasoning Chains
- Agents and Cognitive Architectures
Generative AI Application Evaluation and Governance
- Importance of Evaluating GenAI Applications
- Securing and Governing GenAI Applications
- GenAI Evaluation Techniques
- End-to-end Application Evaluation
Generative AI Application Deployment and Monitoring
- Model Deployment Fundamentals
- Batch Deployment
- Real-Time Deployment
- AI System Monitoring
- LLMOps Concepts
Schedule
5 options available
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May 19, 2025 - May 20, 2025 (2 days)
Virtual | 9:00 AM – 5:00 PM EDT Language English Select from 1 options below Virtual |9:00 AM – 5:00 PM EDT- Enroll
- Enroll Add to quote
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Jun 2, 2025 - Jun 3, 2025 (2 days)
Virtual | 9:00 AM – 5:00 PM EDT Language English Select from 1 options below Virtual |9:00 AM – 5:00 PM EDT- Enroll
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Jun 16, 2025 - Jun 17, 2025 (2 days)
Virtual | 9:00 AM – 5:00 PM EDT Language English Select from 1 options below Virtual |9:00 AM – 5:00 PM EDT- Enroll
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Jul 1, 2025 - Jul 2, 2025 (2 days)
Virtual | 9:00 AM – 5:00 PM EDT Language English Select from 1 options below Virtual |9:00 AM – 5:00 PM EDT- Enroll
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Jul 7, 2025 - Jul 10, 2025 (4 days)
Virtual | 2:00 PM – 6:00 PM EDT Language English Select from 1 options below Virtual |2:00 PM – 6:00 PM EDT- Enroll
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FAQ
Does the course schedule include a Lunchbreak?
Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.
What languages are used to deliver training?
Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.
What does GTR stand for?
GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.
How do I find an Ascendient Learning training location?
We have training locations across the United States and Canada - View a complete list of classroom training locations.
Which delivery formats are available?
At Ascendient Learning, we offer training that is Instructor-Led, Online, Virtual, and Self-Paced.
Does Ascendient Learning deliver group training?
Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.
What does vendor-authorized training mean?
As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.
Is the training too basic, or will you go deep into technology?
It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.
How up-to-date are your courses and support materials?
We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.
Are your instructors seasoned trainers who have deep knowledge of the training topic?
Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.
Do you provide hands-on training and exercises in an actual lab environment?
Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.
Will you customize the training for our company’s specific needs and goals?
We will work with you to identify training needs and areas of growth. We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.
How do I get started with certification?
Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact info@ascendientlearning.com.
Will I get access to content after I complete a course?
You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.
How do I request a W9 for Ascendient Learning?
View our filing status and how to request a W9.
Reviews
This is my second course with ExitCertified. This course exceeded my expectations. The teacher was great and the class was fun.
You get detailed labs to guide you through the technical material giving you a hands on method of learning otherwise difficult material.
great class and packed with material, would have lived to spread it more into many days but overall very informative.
This was effective way to provide a ton of information in a short time period.
Concise and good to follow along. Although it is a lot to take in under a short period of time.
