{"title":"The Career Stack","description":"\u003cp\u003eFifteen focused add-on courses that turn a certification into a job offer — the fundamentals underneath the flagship programs, plus the hiring skills nobody else teaches.\u003c\/p\u003e\u003cp\u003eEach is ₹5,000 individually. Three are included free with any live cohort enrolment.\u003c\/p\u003e","products":[{"product_id":"python-for-ai-developers","title":"Python for AI Developers","description":"\u003cp\u003eThe Python that actually appears in AI codebases — not another beginner syntax tour. If you can write a for-loop but freeze when you open a real repository, this closes that gap.\u003c\/p\u003e\u003ch3\u003eWhat you build\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eAn async client that calls an LLM API with retries, timeouts, and backoff\u003c\/li\u003e\n\u003cli\u003eTyped data models with Pydantic for every request and response\u003c\/li\u003e\n\u003cli\u003eA CLI tool packaged properly, with dependencies pinned\u003c\/li\u003e\n\u003cli\u003eA test suite that mocks the model so it runs offline\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eFormat:\u003c\/strong\u003e 12 hours self-paced · Python 3.12, Pydantic, httpx, pytest, uv\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eProves:\u003c\/strong\u003e you can write Python another engineer is willing to merge.\u003c\/p\u003e","brand":"360 DT","offers":[{"title":"Default Title","offer_id":50041273614613,"sku":"1000","price":5000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0880\/6141\/1605\/files\/pexels-photo-11035474.jpg?v=1786181181"},{"product_id":"sql-fundamentals","title":"SQL Fundamentals","description":"\u003cp\u003eEvery AI system sits on top of a database, and the engineer who can query it directly is the one who finds out why the model is wrong. This is SQL for people building systems, not passing interviews.\u003c\/p\u003e\u003ch3\u003eWhat you build\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eA normalised schema for an application's users, sessions, and events\u003c\/li\u003e\n\u003cli\u003eJoins, aggregates, and window functions over a realistic dataset\u003c\/li\u003e\n\u003cli\u003eQuery plans read and indexes added to fix a slow report\u003c\/li\u003e\n\u003cli\u003eAn analytics view feeding a dashboard\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eFormat:\u003c\/strong\u003e 10 hours self-paced · PostgreSQL, DBeaver\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eProves:\u003c\/strong\u003e you can answer a data question without waiting for someone else.\u003c\/p\u003e","brand":"360 DT","offers":[{"title":"Default Title","offer_id":50041273647381,"sku":"1000","price":5000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0880\/6141\/1605\/files\/pexels-photo-3803517.jpg?v=1786181182"},{"product_id":"git-amp-github-essentials","title":"Git \u0026 GitHub Essentials","description":"\u003cp\u003eYour GitHub is the first thing a hiring manager opens. This is the workflow professional teams actually use — branches, reviews, and a history someone else can read.\u003c\/p\u003e\u003ch3\u003eWhat you build\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eA clean commit history on a real feature branch\u003c\/li\u003e\n\u003cli\u003eA pull request with a description that gets approved\u003c\/li\u003e\n\u003cli\u003eA merge conflict resolved without losing work\u003c\/li\u003e\n\u003cli\u003eA GitHub Actions pipeline that runs your tests on every push\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eFormat:\u003c\/strong\u003e 8 hours self-paced · Git, GitHub, GitHub Actions\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eProves:\u003c\/strong\u003e you can work in a team repository without breaking it.\u003c\/p\u003e","brand":"360 DT","offers":[{"title":"Default Title","offer_id":50041273680149,"sku":"1000","price":5000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0880\/6141\/1605\/files\/pexels-photo-577585.jpg?v=1786181182"},{"product_id":"api-development-with-fastapi-rest","title":"API Development with FastAPI\/REST","description":"\u003cp\u003eA model that only runs in your notebook is not a product. This is how it becomes a service other systems can call.\u003c\/p\u003e\u003ch3\u003eWhat you build\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eA REST API wrapping a model, with validation on every endpoint\u003c\/li\u003e\n\u003cli\u003eStreaming responses for token-by-token output\u003c\/li\u003e\n\u003cli\u003eAuthentication, rate limiting, and structured error handling\u003c\/li\u003e\n\u003cli\u003eAuto-generated OpenAPI docs and a deployed running instance\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eFormat:\u003c\/strong\u003e 12 hours self-paced · FastAPI, Uvicorn, Pydantic, Docker\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eProves:\u003c\/strong\u003e you can turn a model into something a frontend can consume.\u003c\/p\u003e","brand":"360 DT","offers":[{"title":"Default Title","offer_id":50041273811221,"sku":"1000","price":5000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0880\/6141\/1605\/files\/pexels-photo-27427258.jpg?v=1786181182"},{"product_id":"aws-cloud-practitioner-ai-fundamentals","title":"AWS Cloud Practitioner \/ AI Fundamentals","description":"\u003cp\u003eCloud fundamentals aimed squarely at running AI workloads — the services you will actually touch, without the exam-cram padding.\u003c\/p\u003e\u003ch3\u003eWhat you build\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eA deployed inference endpoint behind a load balancer\u003c\/li\u003e\n\u003cli\u003eIAM roles and policies scoped to least privilege\u003c\/li\u003e\n\u003cli\u003eObject storage wired up for model artefacts and datasets\u003c\/li\u003e\n\u003cli\u003eCost alarms so a runaway job does not surprise you\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eFormat:\u003c\/strong\u003e 14 hours self-paced · AWS (EC2, S3, IAM, Lambda, CloudWatch) · maps to CLF-C02 and AIF-C01\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eProves:\u003c\/strong\u003e you can deploy to cloud infrastructure without a platform team.\u003c\/p\u003e","brand":"360 DT","offers":[{"title":"Default Title","offer_id":50041273843989,"sku":"1000","price":5000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0880\/6141\/1605\/files\/pexels-photo-17489160.jpg?v=1786181182"},{"product_id":"docker-amp-kubernetes-basics","title":"Docker \u0026 Kubernetes Basics","description":"\u003cp\u003e“It works on my machine” is where most AI projects die. Containers are how you stop saying it.\u003c\/p\u003e\u003ch3\u003eWhat you build\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eA Dockerfile for a Python AI service, built small and layered properly\u003c\/li\u003e\n\u003cli\u003eA multi-container stack — API, database, and vector store — with Compose\u003c\/li\u003e\n\u003cli\u003eThe same service deployed to Kubernetes with health checks\u003c\/li\u003e\n\u003cli\u003eHorizontal autoscaling triggered by real load\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eFormat:\u003c\/strong\u003e 14 hours self-paced · Docker, Docker Compose, Kubernetes, Helm\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eProves:\u003c\/strong\u003e your work runs anywhere, not just on your laptop.\u003c\/p\u003e","brand":"360 DT","offers":[{"title":"Default Title","offer_id":50041273876757,"sku":"1000","price":5000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0880\/6141\/1605\/files\/pexels-photo-2881228.jpg?v=1786181183"},{"product_id":"linux-fundamentals","title":"Linux Fundamentals","description":"\u003cp\u003eEvery model you deploy lands on a Linux box. This is enough command line to debug one at 2 AM without panicking.\u003c\/p\u003e\u003ch3\u003eWhat you build\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eA server configured from scratch — users, permissions, SSH keys\u003c\/li\u003e\n\u003cli\u003eShell scripts that automate a deployment\u003c\/li\u003e\n\u003cli\u003eA hunt through logs to find why a process died\u003c\/li\u003e\n\u003cli\u003eSystemd services, cron jobs, and resource monitoring\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eFormat:\u003c\/strong\u003e 10 hours self-paced · Ubuntu, bash, systemd, journalctl\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eProves:\u003c\/strong\u003e you can operate the machine your code runs on.\u003c\/p\u003e","brand":"360 DT","offers":[{"title":"Default Title","offer_id":50041273909525,"sku":"10000","price":5000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0880\/6141\/1605\/files\/pexels-photo-546819.jpg?v=1786181182"},{"product_id":"prompt-engineering-masterclass","title":"Prompt Engineering Masterclass","description":"\u003cp\u003ePrompting as engineering discipline — versioned, measured, and tested — rather than trial and error in a chat window.\u003c\/p\u003e\u003ch3\u003eWhat you build\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eA prompt library with versioning and a regression test suite\u003c\/li\u003e\n\u003cli\u003eStructured output that reliably parses, every time\u003c\/li\u003e\n\u003cli\u003eChain-of-thought and few-shot patterns benchmarked against each other\u003c\/li\u003e\n\u003cli\u003eAn evaluation harness that scores prompt changes objectively\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eFormat:\u003c\/strong\u003e 10 hours self-paced · Claude, GPT, structured outputs, promptfoo\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eProves:\u003c\/strong\u003e you can make model behaviour repeatable enough to ship.\u003c\/p\u003e","brand":"360 DT","offers":[{"title":"Default Title","offer_id":50041273942293,"sku":"1000","price":5000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0880\/6141\/1605\/files\/pexels-photo-8386437.jpg?v=1786181183"},{"product_id":"langchain-langgraph-fundamentals","title":"LangChain\/LangGraph Fundamentals","description":"\u003cp\u003eThe orchestration layer between a model and an application that does something useful. Where single prompts end and agents begin.\u003c\/p\u003e\u003ch3\u003eWhat you build\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eA multi-step chain with memory that survives across turns\u003c\/li\u003e\n\u003cli\u003eA stateful agent graph with branching and loops in LangGraph\u003c\/li\u003e\n\u003cli\u003eCustom tools the agent calls, with error recovery when they fail\u003c\/li\u003e\n\u003cli\u003eTracing and debugging on a run that goes wrong\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eFormat:\u003c\/strong\u003e 12 hours self-paced · LangChain, LangGraph, LangSmith\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eProves:\u003c\/strong\u003e you can build an agent that handles more than the happy path.\u003c\/p\u003e","brand":"360 DT","offers":[{"title":"Default Title","offer_id":50041274007829,"sku":"1000","price":5000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0880\/6141\/1605\/files\/pexels-photo-8438879.jpg?v=1786181183"},{"product_id":"mlops-llmops-basics","title":"MLOps\/LLMOps Basics","description":"\u003cp\u003eThe operational half of the job — what happens after the model works and before it earns money.\u003c\/p\u003e\u003ch3\u003eWhat you build\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eAn experiment tracking setup and a model registry\u003c\/li\u003e\n\u003cli\u003eA CI\/CD pipeline that tests and deploys a model automatically\u003c\/li\u003e\n\u003cli\u003eDrift detection and quality monitoring on live traffic\u003c\/li\u003e\n\u003cli\u003eCost and latency dashboards for an LLM in production\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eFormat:\u003c\/strong\u003e 12 hours self-paced · MLflow, GitHub Actions, Prometheus, Grafana\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eProves:\u003c\/strong\u003e you can keep a model working after launch day.\u003c\/p\u003e","brand":"360 DT","offers":[{"title":"Default Title","offer_id":50041274040597,"sku":"1000","price":5000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0880\/6141\/1605\/files\/pexels-photo-5203849.jpg?v=1786181183"},{"product_id":"ai-ethics-amp-responsible-ai-deployment","title":"AI Ethics \u0026 Responsible AI Deployment","description":"\u003cp\u003eThe questions that decide whether an AI system is allowed to ship in a regulated company — and the documentation that answers them. Increasingly the difference between a pilot and production.\u003c\/p\u003e\u003ch3\u003eWhat you build\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eA bias audit on a real model, with findings written up\u003c\/li\u003e\n\u003cli\u003eA model card and a risk assessment for a deployed system\u003c\/li\u003e\n\u003cli\u003eGuardrails and content filtering against adversarial input\u003c\/li\u003e\n\u003cli\u003eA compliance checklist mapped to the EU AI Act and India's DPDP Act\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eFormat:\u003c\/strong\u003e 8 hours self-paced · fairness toolkits, red-teaming, model cards\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eProves:\u003c\/strong\u003e you can get an AI system past a risk committee.\u003c\/p\u003e","brand":"360 DT","offers":[{"title":"Default Title","offer_id":50041274073365,"sku":"1000","price":5000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0880\/6141\/1605\/files\/pexels-photo-8849295.jpg?v=1786181183"},{"product_id":"resume-amp-linkedin-optimization-for-ai-roles","title":"Resume \u0026 LinkedIn Optimization for AI Roles","description":"\u003cp\u003eMost strong engineers are filtered out before a human reads anything. This fixes the layer between your skills and the interview.\u003c\/p\u003e\u003ch3\u003eWhat you build\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eA résumé rewritten for the screening systems that read it first\u003c\/li\u003e\n\u003cli\u003eProject descriptions that lead with outcomes, not tool lists\u003c\/li\u003e\n\u003cli\u003eA LinkedIn profile rebuilt around the keywords recruiters search\u003c\/li\u003e\n\u003cli\u003eAn outreach message with a reply rate worth the effort\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eFormat:\u003c\/strong\u003e 6 hours self-paced, plus one written review of your résumé by a mentor\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eProves:\u003c\/strong\u003e your application reaches the person who can hire you.\u003c\/p\u003e","brand":"360 DT","offers":[{"title":"Default Title","offer_id":50041274433813,"sku":"10000","price":5000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0880\/6141\/1605\/files\/pexels-photo-4604607.jpg?v=1786181183"},{"product_id":"mock-interview-technical-interview-prep","title":"Mock Interview \/ Technical Interview Prep","description":"\u003cp\u003eTwo live mock interviews with an engineer who hires, plus honest written feedback. The nearest thing to the real room before you are in it.\u003c\/p\u003e\u003ch3\u003eWhat you get\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eOne technical interview — coding and system design, scored\u003c\/li\u003e\n\u003cli\u003eOne AI-specific interview on model selection, RAG, and deployment trade-offs\u003c\/li\u003e\n\u003cli\u003eWritten feedback naming the specific answers that cost you\u003c\/li\u003e\n\u003cli\u003eA question bank drawn from real Indian AI-role interviews\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eFormat:\u003c\/strong\u003e 2 live 60-minute sessions, scheduled with you · recorded\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eProves:\u003c\/strong\u003e you have already answered the hard questions once.\u003c\/p\u003e","brand":"360 DT","offers":[{"title":"Default Title","offer_id":50041274466581,"sku":"100000","price":5000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0880\/6141\/1605\/files\/pexels-photo-5439141.jpg?v=1786181184"},{"product_id":"portfolio-building-workshop","title":"Portfolio Building Workshop","description":"\u003cp\u003eThree finished projects beat ten half-built repositories. This is how to present work so it reads as professional rather than academic.\u003c\/p\u003e\u003ch3\u003eWhat you build\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eA portfolio site with three case studies, each stating problem, approach, and result\u003c\/li\u003e\n\u003cli\u003eRepositories with real READMEs, architecture diagrams, and live demos\u003c\/li\u003e\n\u003cli\u003eA technical write-up on one project, publishable as a blog post\u003c\/li\u003e\n\u003cli\u003eA two-minute walkthrough video for the strongest project\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eFormat:\u003c\/strong\u003e 8 hours self-paced, plus one portfolio review by a mentor\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eProves:\u003c\/strong\u003e your work is legible to someone who has ninety seconds.\u003c\/p\u003e","brand":"360 DT","offers":[{"title":"Default Title","offer_id":50041276956949,"sku":"1000000","price":5000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0880\/6141\/1605\/files\/pexels-photo-34803997.jpg?v=1786181184"},{"product_id":"rag-amp-vector-databases-fundamentals","title":"RAG \u0026 Vector Databases Fundamentals","description":"\u003cp\u003eNearly every AI system a company actually pays for is retrieval over its own documents. This is that system, built properly.\u003c\/p\u003e\u003ch3\u003eWhat you build\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eAn ingestion pipeline with chunking strategies compared on real documents\u003c\/li\u003e\n\u003cli\u003eEmbeddings stored and queried in a production vector database\u003c\/li\u003e\n\u003cli\u003eHybrid search combining semantic and keyword retrieval, with reranking\u003c\/li\u003e\n\u003cli\u003eAn evaluation suite measuring retrieval precision, plus fixes for the failures it finds\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eFormat:\u003c\/strong\u003e 14 hours self-paced · Pinecone, pgvector, Chroma, sentence-transformers\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eProves:\u003c\/strong\u003e you can build the AI system companies are actually buying.\u003c\/p\u003e","brand":"360 DT","offers":[{"title":"Default Title","offer_id":50041277153557,"sku":"100000000","price":5000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0880\/6141\/1605\/files\/pexels-photo-9464856.jpg?v=1786181184"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0880\/6141\/1605\/collections\/pexels-photo-4604607.jpg?v=1787349098","url":"https:\/\/www.360digitaltransformation.com\/collections\/the-career-stack.oembed","provider":"360DT","version":"1.0","type":"link"}