When does class start/end?
Class hours may vary, please reach out to contact@ascendientlearning.com if you have any questions.
Building Agentic AI Applications with LLMs
The bar for what AI-powered agents can do has been steadily rising over the past few years, and new innovations allow them to not only engage in conversations but also utilize tools, conduct...
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$500 USD
Duration
1 day
Course Code
NV-BAAILLM
Available Formats
Classroom
Overview
The bar for what AI-powered agents can do has been steadily rising over the past few years, and new innovations allow them to not only engage in conversations but also utilize tools, conduct research, and execute on complex objectives at scale. This course empowers you to develop sophisticated agent systems that can execute on deep thought, research, software calling, and distributed operation. Throughout the course, you'll gain hands-on experience in designing agents that efficiently retrieve and refine information, intelligently route queries, and execute tasks concurrently using orchestration tools like LangGraph and sound software engineering practices. By the end of the course, you will have a solid foundation in agent architectures and will be able to construct interesting agent-like integrations to complement your existing workflows and software stacks.
- We start with basic LLM usage and agent fundamentals, covering structured outputs, retrieval, and knowledge graphs. We then move to multi-agent concurrency, data flywheels, real-time constraints, and scaling considerations—finishing with a final assessment that has you interfacing with a scalable multi-tenant agent API.
Skills Gained
By participating in this course, you will:
- Understand the strengths and limitations of LLMs, and why agent-based paradigms help us to empower them in our modern software landscape.
- Learn to produce structured outputs to enable machine-parseable function calls or API integrations.
- Explore retrieval mechanisms and knowledge graphs for domain knowledge.
- Experiment with multi-agent orchestration using frameworks like LangGraph.
- Implement resilient systems and data flywheels for production-oriented deployments.
Prerequisites
Course Details
Fundamentals of Agent Abstraction and LLMs
- Discuss LLM capabilities & pitfalls
- Introduce agents as a task decomposition abstraction.
- Demonstrate minimal agent with free-text LLM calls
Structured Output & Basic Fulfillment Mechanisms
- Bottlenecking LLMs with JSON/task-based outputs.
- Ensure domain alignment & stable schema enforcement.
- Introduction to cognitive architectures.
Retrieval Mechanisms & Environmental Tooling
- Formalize environment access strategies for agents to interface with other systems.
- Develop tool interfaces for external data repositories (DBs, APIs)
- Use vector-RAG-coded for semantic retrieval over document sets
Knowledge Graphs & Document Graphs
- Plan progression of data from raw docs to canonical forms.
- Motivate threshold/equilibrium objectives for driving event loop.
- Build state pools/ontologies for robust domain coverage
Multi-Agent Systems & Frameworks
- Decompose tasks among specialized agents
- Formalize communication buffers and process distribution schemes.
- Differentiate between different frameworks and their unique approaches.
Data Flywheels & System Hardening
- Capture usage logs, refining domain constraints, or sub-models
- Implement human-in-the-loop oversight for error correction
- Iterative improvement & pipeline simplification using real/synthetic data
Scaling & Productionalization
- Discuss production-oriented considerations like resource management, concurrency, resource utilization, multi-tenancy
- Motivate framework-agnostic modular deployments (meta-frameworks) and their selection criteria.
Final Assessment
- Deploy an agent endpoint that can support multiple different interactions.
- Run a distributed dialog loop across the deployed server to assess satisfaction.
[Optional] Real-Time Agents
- Discuss multimodal considerations and agentic use-cases that interact with the physical world.
- Explore recent advances in robotics, audio systems, and world models.
[Optional] Responsible Agents
- Discuss common failure modes in software design that introduce unfairness, liability, and poor software experiences.
- Consider checks-and-balances systems, standards creation, and evaluation needs.
Schedule
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
Good training. A lot to take in for the short amount of time we have though
You get detailed labs to guide you through the technical material giving you a hands on method of learning otherwise difficult material.
Labs and the study materials provided for Architecting on AWS course are very easy to understand and explains all the topics required to pass the Associate certification.
Sean is the very good instructor. I would like to take his class again in the future.
Instructor was great, course was mostly very good except for too much focus on pricing
