Build Autonomous AI Agents, AI Workflows, AI Automation, Tool Calling, Multi-Agent Systems, and Real-world Agent Development. Transform your career outcomes in 180 days.
Students Engaged
Projects Deployed
Hiring Partners
Completion Rate
A direct comparison of our methodology against traditional academic and online bootcamps.
| Feature | Traditional Institutes | Online Courses | Skillese Technologies |
|---|---|---|---|
| Production AI | ❌ No backend deployment | ❌ Static sandbox videos | ✅ Dockerized LangGraph servers |
| Internship | ❌ Simulated quizzes only | ❌ No coding work logs | ✅ 60-Day client simulation Sprints |
| Live Mentorship | ❌ Outdated textbooks | ❌ Support email ticket bots | ✅ Line-by-line PR checks |
| Career Support | ❌ Standard resumes templates | ❌ No GitHub audits | ✅ 1-on-1 mock technical reviews |
Click on each program level to expand details regarding weeks, topics, and specific outcomes.
Topics: Python variables, lists, dictionaries, Git version control, Prompt Engineering Zero/Few-shot setups, and OpenAI SDK.
Outcome: Build and commit a dynamic AI blog writer returning formatted JSONs.
Topics: FastAPI backend routing server setups, vector embeddings, ChromaDB, document chunking schemas, and Dockerizing code.
Outcome: Deployed PDF Research assistant bot running on Railway.
Topics: CrewAI teams configurations, LangGraph state routers, cost tracking telemetry, prompt guardrails, and error logs self-correction.
Outcome: Multi-agent autonomous sales pipeline optimizer.
Topics: Kubernetes configuration, CI/CD Actions, Model Context Protocol (MCP) server setups, cost analysis, and production architecture.
Outcome: Deployed Multi-Agent CRM automation platform running live queries on production datasets.
Real-world operational systems deployed on cloud servers. Click on cards to view active tech stacks.
Scan resumes utilizing OCR models, matches candidate metrics against active JD files.
Vector search application loading multi-page PDF documents, answering queries with custom context injection.
Outline builder and content composer utilizing GPT-4o API. Returns formatted JSON outlines.
Contextual composition assistant checking inbox histories to compose email drafts.
Search database bot checking internal developer guide sheets to answer syntax rules.
Search agent routing queries to Google Scholar, synthesizing highlights.
Translates voice/text commands into database queries, displaying dashboards.
Scan meeting audios, formulating action grids and task assignments.
Autonomous script parsing support mail logs, executing SQL edits.
Synchronize social channels queries directly to Hubspot API logs.
Automate employee onboarding, credentials initialization, and Slack notifications.
Configure Pinecone/Chroma search indices parsing petabytes of PDFs.
Ex-Senior AI Lead at AWS. 10+ years experience.
Senior LangGraph Architect at Digiteease.
Invest in your career launch. Lock in the pricing before the next cohort batch deadline.
Duration: 45 Days | Internship: 15 Days
Save ₹6,500 on registrations
Duration: 60 Days | Internship: 20 Days
Save ₹13,000 on registrations
Duration: 90 Days | Internship: 30 Days
Save ₹18,000 on registrations
Duration: 180 Days | Internship: 60 Days
Save ₹32,000 on registrations
| Feature | Foundations (P1) | Core Developer (P2) | Agentic AI (P3) | Enterprise (P4) |
|---|---|---|---|---|
| Tuition Rate | ₹6,499 | ₹14,999 | ₹21,999 | ₹32,999 |
| Duration | 45 Days | 60 Days | 90 Days | 180 Days |
| Internship | 15 Days | 20 Days | 30 Days | 60 Days |
| Capstone Projects | 1 Project | 2 Projects | 4 Projects | 6+ Projects |
| Mentorship | Forum support | Forum support | 1-on-1 Sessions | Direct Senior Audits |
| Verified Certificate | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes |
| Placement Assistance | ❌ No | ❌ No | ✅ Yes | ✅ Yes (Guaranteed) |
| Doubt Support | Standard | Standard | 24/7 Priority | 1-on-1 Dedicated |
| Resource Access | Lifetime | Lifetime | Lifetime | Lifetime |
25 Questions to clear all your doubts regarding Agentic AI tracks.
Submit your details to check qualification. Our intake sizes are strictly capped to maintain high mentor feedback cycles.