AI Training Courses for Teams
Practical, project-based AI training for engineering and product teams. Teams work on real use cases using modern AI tools, with formats that fit real work schedules.
Build Real AI Capabilities For Your Team
Qwasar’s AI training programs for companies are built for teams who want to move beyond experimentation and start building real AI-powered features. These are fully hands-on, project-based programs designed around how engineering and product teams actually work.
There are no passive lecture tracks. Learning happens through building, pairing, reviewing work, and iterating on real use cases. Teams leave with working projects and practical experience they can carry directly into their day-to-day work.
Programs can be delivered remotely or on-site, run part-time to fit real work schedules, and tailored to your company’s use cases and tech stack.
What to Expect in Our AI Training for Teams
Hands-On Project Work
Teams build real AI applications based on practical use cases, working through the same design and implementation challenges they face at work.
Modern AI Stacks
Participants work with current tools and patterns including LLMs, RAG, vector databases, fine-tuning workflows, and agentic systems aligned to your tech stack.
Team-Based Learning
Learners work in pairs or small groups with feedback on real implementation decisions, mirroring how product and engineering teams collaborate.
Flexible Delivery
Programs run part-time and can be delivered remotely or on-site to fit real team schedules and constraints.
Pricing & Engagement Details
Program pricing is set on a per-participant basis and varies based on the format and delivery model you choose.
Most company engagements fall in the range of $500–$1,500 per participant, depending on:
- program length and depth
- delivery mode (remote vs. on-site)
- cohort size and level of customization
We’ll work with you to scope the right format for your team and provide a clear quote up front.
If you need documentation for internal approval or professional development budgets, we’re happy to provide what your organization requires.
Why Choose Qwasar’s Project-Based AI Training for Teams?
Build Real AI Systems, Not Toy Examples
Teams work on real AI use cases and build working applications using modern AI stacks, so the learning directly reflects the kinds of systems engineers and product teams are expected to build on the job.
Project Feedback and Peer Review
Participants receive structured feedback on their projects and design decisions, similar to code reviews in real engineering teams, helping teams improve quality, architecture, and reliability of their AI work.
Outcomes That Translate to the Job
The skills developed during training carry directly into real product features, internal tools, and AI-driven workflows your teams are already responsible for.
Real Projects Your Team Can Build On
The projects teams complete during training often serve as starting points for internal prototypes or proof-of-concepts that can be extended after the program.
Practical Depth With Modern AI Stacks
Teams gain hands-on experience working with LLMs, RAG pipelines, vector databases, fine-tuning workflows, and agentic patterns, developing practical depth across the modern AI stack.
FAQs
Who is this training for?
This training is designed for engineering, product, and technical teams who want to build practical AI capabilities, as well as for non-technical teams who need applied AI literacy aligned to their roles. We offer different depths depending on the audience, from executive and department-level introductions to deeper, project-based programs for engineers and builders.
Do participants need prior AI or machine learning experience?
Not necessarily. We tailor the starting point based on the audience. Introductory and role-based programs assume no prior AI background, while the deeper engineering tracks are designed for teams with software development experience who want to build AI-powered features and workflows.
What formats do you offer?
We offer short introductory sessions, focused workshops, and longer part-time programs. Programs can be delivered remotely or on-site, and we work with you to choose a format that fits your team’s schedule and goals.
Is the training customizable to our use cases and tech stack?
Yes. Projects and examples can be aligned to your industry, workflows, and preferred tools (e.g., cloud provider, LLM platform, internal systems). The learning outcomes stay consistent, but the context is tailored to what your teams actually work on.
What will our teams build during the training?
Teams build working AI-powered features and workflows, such as LLM-based tools, RAG pipelines, agentic workflows, and internal prototypes relevant to your business use cases. These projects are designed to reflect real implementation challenges teams face on the job.
How much time should participants expect to spend each week?
There are no traditional exams. Progress is measured through project work, participation in working sessions, and demonstration of practical skills. Feedback is provided throughout the program, similar to code reviews and project reviews in real teams.
Who runs the training?
Programs are led by experienced software engineers and AI practitioners who guide teams through projects, facilitate working sessions, and provide feedback on technical decisions and implementation approaches.
Can this be delivered to distributed or global teams?
Yes. We regularly run programs for distributed teams across multiple locations. Sessions can be delivered remotely, and we can blend on-site and remote formats if helpful (for example, an on-site kickoff followed by remote sessions).
What does pricing look like?
Pricing is per participant and depends on program length, format, delivery mode, and cohort size. Most engagements fall in the range of $500–$1,500 per participant. We’ll provide a clear quote once we scope your needs.
How do we get started?
Start with a short conversation about your goals, team composition, and timeline. From there, we’ll propose a format and outline next steps for kickoff and scheduling.
Questions?
We are here to help! Contact us for assistance or more questions about our AI Training courses for your team.