Engineering, delivery and leadership teams from these companies have trained with AgileFever.
10 questions, 2 minutes. Get your readiness stage and the program mix we would recommend. No email needed to see your result.
Recommended program mix:
70+ live programs across 8 domains. Book any of them as a private cohort for your team or as group seats in a scheduled batch.
Live training, experienced instructors, practical projects, industry-recognized certifications, and programs that reflect the work IT professionals actually do. Here's what makes our approach different:
AgileFever is ISO 9001:2015 certified and has trained 16,000+ professionals and 300+ enterprise teams. Our programs are delivered with a consistent focus on quality, practical application, and the needs of modern technology organizations. The curriculum is led by founder Sharath Siripuram, drawing on 15+ years of Fortune 500 enterprise transformation.
70+ live programs across 8 domains, from AI bootcamps and role-based AI certifications to Agile, SAFe, project management, quality management and DevOps. Labs and examples are adapted to your cloud, tools and domain, and every private cohort ends with a capstone on a problem from your backlog.
Every cohort is taught live by experienced instructors, virtually or on-site, in US and India time zones. Cohorts are capped at 20 experienced professionals, so there is time for questions, reviews and real discussion of your team's work.
Learners keep self-paced access on AgileFever Academy to revisit lessons on the job, and new joiners can onboard without waiting for the next batch. You get a capability report with baseline vs. post-assessment results, so you can see what changed and decide where to scale next.
A clear, outcome-driven framework designed to upskill teams, measure impact, and scale success across the organization.
We begin by understanding your business goals, team structure, and current skill landscape. Through stakeholder discussions and capability assessments, we identify skill gaps, priorities, and readiness across roles and teams.
What we evaluate:
Outcome:
A clear baseline and prioritized skills roadmap tied to business impact.
Based on the assessment, we deliver a tailored upskilling roadmap aligned to your business objectives. Teams undergo live, instructor-led training focused on practical application, real projects, and role-specific outcomes.
What we deliver:
Outcome:
Faster skill acquisition and immediate on-the-job application.
Training doesn’t end with delivery. We track engagement, progress, and performance through structured evaluations, project outcomes, and feedback to measure real learning impact.
What we track:
Outcome:
Clear visibility into ROI, productivity gains, and capability growth.
Using insights from the analysis, we refine the approach and help scale the program across teams, departments, or geographies by ensuring consistent capability building across your organization.
How we scale:
Outcome:
A scalable, repeatable upskilling model that supports organizational growth.
Illustrative bars, not client data.
Live virtual or on-site classroom delivery · sessions in US and India time zones · invoicing in USD or INR (with GST) · teams in Frisco, TX and Hyderabad
Your team only, with examples drawn from your domain and stack, and a capstone on a problem from your backlog.
Start in the next scheduled live batch with a group booking. Cohorts are capped at 20 experienced professionals.
One plan, one point of contact, and reporting across every cohort, team and region.
The same enterprise-grade curriculum as our live cohorts, self-paced. Give the wider team access on their own schedule, or pair it with live cohorts for a blended program.
GenAI and Agentic AI, AI Forward Deployed Engineer, and MLOps, LLMOps and Agentic AI Ops
12–16 hours each, for leaders, architects, product, developers, QA and FDEs
Short, focused courses on one tool or skill, such as Python for AI and n8n
Everyone arrives at the live sessions with the same foundations, such as Python for AI.
Live cohorts for the core team, self-paced courses for everyone else in the function.
Revisit lessons on the job, and onboard new hires without waiting for the next batch.
The skills your teams need are changing faster than you can hire for them.
by 2030 to stay effective as roles and technology evolve.
by 2030, making continuous learning essential.
by 2030, driven by AI, automation and digital transformation.
their workforce to address talent shortages.
Source: World Economic Forum, Future of Jobs Report 2025.
Set your team's numbers below. This models the productivity value of hours reclaimed after training against your training investment, over a horizon you choose.
Assumptions: default fees reflect typical AgileFever course pricing (about $1,500 in the US, ₹70,000 in India); replace them with your quote. Fully-loaded cost is converted to an hourly rate using a 2,080-hour work year. Productivity value equals hours reclaimed per week × hourly rate × employees × weeks in the selected horizon. This is a planning estimate, not a guarantee; actual returns depend on role, tool adoption, and how training is reinforced on the job.
Experienced professionals from product, delivery, data and engineering roles, in their own words.
The course covered AI fundamentals and then went deeper into actually building multi-agent applications using LLMs. By the end, I felt confident both creating these systems and explaining them clearly.
“As a Data Scientist, I joined AgileFever's Agentic AI Bootcamp to strengthen my practical understanding of Agentic AI. The learning was hands-on, practical, and focused on real-world use.”
“The hands-on projects and workplace use cases made learning Agentic AI easy and practical. I can already see opportunities to automate tasks in my daily work.”
“I joined to understand how Agentic AI can be applied in my work and this bootcamp exceeded my expectations. They teach how to use and apply it in the workplace.”
“AgileFever provides solid Agile and Scrum training with knowledgeable instructors and well-structured content. The courses are practical, interactive, and useful.”
Senior professionals who went from theory to building real AI systems they now use at work.
Srinivas Cherlamcherla · Solutions Architect, Adobe
Theoretical awareness of AI and ML, but no hands-on experience with data modeling, algorithms or implementation.
RESULTConfident building models, understanding data and applying AI to industry use cases, with technical depth for leadership roles.
“It was a journey from zero to clarity.”Read the case study →
Jenia Burandt · Project Lead and Scrum Master
Expected Agentic AI to be highly technical, and wanted to move from high-level understanding to building real applications.
RESULTBuilds multi-agent systems and LLM-based solutions, and explains them to her teams.
“I'm now very confident in building multi-agent applications and explaining these concepts to others.”Read the case study →
Prasanna Sundaram · Product Manager, IBM
As Agentic AI took off in 2025, structured training with real technical depth, not just theory, was hard to find.
RESULTBuilt Agentic AI projects during the program and now applies the concepts in day-to-day work.
“The trainer shared real experience and guided us through projects.”Read the case study →
Run one role-based cohort. Agree success measures up front. Scale only if the results earn it.
Instructor-led training that teaches a company's employees to use and build with AI in their own roles. At AgileFever it runs as live private cohorts for tech teams, with a skills baseline at the start and a capability report at the end.
Our AI training for employees is built for experienced IT teams: business leaders, solution architects, full stack developers, DevOps, QA and test engineers, product owners and managers, project and program managers, and client-facing engineers. Agile, SAFe, Kanban, project management, quality and DevOps programs cover delivery teams.
Private cohorts are run for a single team or role. Groups of 2 to 9 people usually join a scheduled live cohort with a group booking instead.
Yes. Labs and examples are adapted to your cloud, tools and domain, and the capstone uses a problem from your backlog.
A skills baseline before training, lab and project completion during it, and a post-assessment plus manager feedback after it, summarized in a capability report.
Upskilling is usually the faster route when your people already know your systems, customers and domain. Hiring makes sense for roles no one on the team is close to. Use the ROI calculator above to model the return on upskilling, and if you do need new hires, our Hire From Us program can help.
Yes, an AgileFever certificate on completion. SAFe, Kanban, PMP, PRINCE2 and Lean Six Sigma programs are certification training for those credentials.
No company data is needed. Labs run on prepared enterprise scenarios, and your advisor confirms lab and tool access in the program plan.
Your program plan sets out how missed sessions are covered, so no one falls behind the rest of the cohort.
Yes. We work with procurement on NDAs, MSAs and vendor onboarding, and invoice in USD or INR with GST.
Per cohort or per seat, depending on format and volume. Your advisor sends a quote with the draft plan.
Every program starts with an assessment of your business goals, KPIs and team skills. The training plan is then built against those priorities, and results are reported back against the same baseline.
It depends on the role. Builders need generative and agentic AI, RAG and MLOps/LLMOps; product, QA and delivery roles need to apply AI in their own work; leaders need AI strategy and governance. The AI Readiness Scorecard above shows where to start.
Through an enterprise program: one plan and point of contact, live cohorts in US and India time zones, self-paced access on AgileFever Academy for the wider team, and reporting across every cohort.
No. Programs are built for experienced IT professionals. Python for AI (6 hours) is available as a prerequisite.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.