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Live Cohort Flagship Internship Access Beginner-Friendly

2-Month AI Training
+ Internship

Practical, live AI engineering built around daily projects and real deployment — not pre-recorded theory. You finish with shipped work and the interview preparation to back it up.

📅 60 days 💻 100% live online 🌐 Worldwide 🛠️ Weekly builds
Enquire for Pricing
Talk to an advisor for cohort dates & fees
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60 days of live daily training
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Weekly project builds + code review
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Interview prep & mock sessions
✓
Internship & job access
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Freelancing blueprint module
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Portfolio & GitHub review
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Lifetime community access

We reply within 2 hours · ujartechsolutions.in

60-Day Breakdown

Full Curriculum

Two distinct months — the first builds your technical foundation, the second launches your career.

M1
Month 1 — Practical AI Engineering (Days 1–30)
Daily live sessions · AI tools & APIs · Intensive project-based learning
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Transformer architecture — intuitive deep-dive, no heavy math required
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Lab: First API calls — OpenAI, Anthropic Claude, and Google Gemini compared side by side
📖
Prompt anatomy: system prompts, temperature, token budgets, context windows explained
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Lab: Chain-of-thought, few-shot, and structured JSON output patterns in production
🛠️
Weekly Build: AI-powered Q&A CLI tool with multi-model switching and logging
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Embeddings explained — what they are, why they work, which model to choose for your use case
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Lab: Pinecone vector DB — embed, upsert, and query real documents with semantic search
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Semantic vs keyword search — hybrid retrieval strategies that work in production
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Lab: Full chunking → embedding → retrieval pipeline with context injection
🛠️
Weekly Build: Private document Q&A chatbot — RAG over your own PDFs with a live interface
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Agent architecture — ReAct loop, planning, memory management, and function calling patterns
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Lab: Single agent with web search + code execution tools — built from scratch in Python
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Multi-agent coordination — supervisor patterns, handoffs, guardrails, and error recovery
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Lab: Research agent that autonomously produces a structured, cited report from a prompt
🛠️
Weekly Build: Autonomous task agent with persistent memory, delegation, and a REST API
📖
FastAPI fundamentals — building LLM-powered REST APIs with streaming responses
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Lab: Deploy a RAG chatbot API to a live public URL with streaming and auth
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Evaluation & observability — hallucination detection, latency benchmarking, cost management
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Lab: Add logging, rate limiting, error handling, and health checks to production AI endpoints
🛠️
Month 1 Capstone: Full-stack AI app — live URL, documented API, clean public GitHub repo
M2
Month 2 — Career Focus (Days 31–60)
Interview prep · Internship access · Portfolio & placement
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Live mock technical interviews — full sessions with instructor feedback on your answers
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AI/ML interview patterns — architectures, tradeoffs, system design questions explained
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Code-along drills — data structures and algorithms using AI assistance effectively
🛠️
Build: Personal interview answer framework tied directly to your own program projects
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GitHub profile teardown — what hiring managers actually check and how to pass their scan
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Writing READMEs that tell a story, show technical depth, and include live demo links
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Deploy personal portfolio site showcasing all program projects with descriptions
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Build: Polished public portfolio — 3+ deployed AI projects, each with live demo URL
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Introduction to internship openings in the Ujar Tech Solutions ecosystem
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Placement drive structure — what to expect, how to prepare, how to stand out
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Resume tailoring for AI/ML internship and junior engineer roles
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Live placement sessions with access to real openings and employer feedback
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Positioning yourself as an AI freelancer — what clients actually pay for
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Platform strategy: Upwork, Toptal, direct outreach — picking the right path for you
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Scoping, pricing, and delivering AI projects for real clients without scope creep
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Final capstone: Public technical case study + pitch deck of your best program project
Tangible Deliverables

What you build & ship

By the end you have a portfolio of real, deployed work — running code with live URLs, not slide decks.

🤖
Autonomous AI Agent

Multi-step agent with tool use, persistent memory, and delegation — deployed via API with documentation.

🔍
RAG Knowledge System

Private document Q&A — vector embeddings, semantic chunking, hybrid retrieval, live chatbot interface.

🌐
Full-Stack AI Web App

LLM-powered application with streaming responses, deployed to a real URL you can share with anyone.

📁
GitHub Portfolio

Clean, documented GitHub profile with commit history, detailed READMEs, and live demo links employers check.

📄
Technical Case Study

Written deep-dive on your best project — ready to send to any employer or prospective freelance client.

🎯
Interview Framework

Tested answers to the 30 most common AI/ML interview questions, personalised to your actual built projects.

Technical & Career Skills

Skills you walk away with

LLM APIs (OpenAI · Claude · Gemini) Prompt Engineering Vector Databases RAG Systems LangChain Autonomous Agents Function Calling FastAPI Python (intermediate) Docker basics Git & GitHub Technical Writing Interview Prep Portfolio Building Freelancing Strategy
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LLM Engineering

Calling, prompting, evaluation, and production monitoring of large language models across multiple providers.

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Retrieval Systems

Vector search, embedding models, chunking strategies, hybrid retrieval, and re-ranking pipelines.

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Agent Development

Agentic loops, multi-step planning, tool use, memory management, and multi-agent coordination.

Ideal Learner

Who this program is for

🎓

Students

Build a portfolio that stands out before you graduate. No prior AI experience required — we start from fundamentals and move fast with daily live sessions.

💼

Early-Career Professionals

Add practical AI engineering skills to your existing experience. Learn to build real AI systems, not just understand them theoretically.

🔄

Career Switchers

Pivot into AI engineering. The 60-day structure gives you enough depth to compete for entry-level AI roles — if you commit fully.

🌐

Freelancers

Add AI capabilities to your existing services. Month 2 includes a complete freelancing blueprint — how to find clients, price work, and deliver.

Not right for you if…

You want a self-paced course to watch on weekends. This requires 2–4 hours per day of active daily commitment. If that's not feasible now, start with our weekly workshops →

Common Questions

FAQ — AI Program

Basic Python familiarity helps but isn't required. We cover the Python you need in week one. The focus is using AI APIs and frameworks — not low-level computer science algorithms.

Roughly 1.5–2 hours of live instruction per day, plus project time on your own schedule. Most learners spend 3–4 hours per day total including labs and weekly builds.

Yes. Recordings are available to enrolled learners. We strongly encourage attending live — the interactive benefit is significant — but recordings are there if you miss a session.

No — and we're upfront about that. We don't make fake guarantees. What we provide is priority access to internship openings within our ecosystem, portfolio prep so your work speaks for itself, and interview preparation to compete effectively.

Yes. The program is 100% online and open worldwide from ujartechsolutions.in. Sessions are in IST — message us on WhatsApp to discuss your timezone before enrolling.

If you can learn from written instructions and commit 2–4 hours per day, you're ready. Message us on WhatsApp — we'll have a 10-minute chat to confirm fit before you enroll.

Ready to build with AI?

Send your application — we'll confirm cohort dates and answer questions on WhatsApp within 2 hours.