Master AI agents, enterprise integrations, RAG, cloud deployment, and automation to take AI solutions from Business Problem to Production.
Master AI agents, enterprise integrations, RAG, cloud deployment, and automation to take AI solutions from Business Problem to Production.
AI & Technology Companies
Building and deploying AI solutions directly within customer environments.
Enterprise & SaaS Companies
Integrating AI agents into complex business workflows, data, and systems.
Global & Emerging AI Teams
Hiring across roles in applied AI, AI agents, solutions engineering, and automation.
Consulting & IT Services
Delivering customised AI solutions across industries and enterprise use cases.
AI & Technology Companies
Building and deploying AI solutions directly within customer environments.
Enterprise & SaaS Companies
Integrating AI agents into complex business workflows, data, and systems.
Global & Emerging AI Teams
Hiring across roles in applied AI, AI agents, solutions engineering, and automation.
Consulting & IT Services
Delivering customised AI solutions across industries and enterprise use cases.
This programme is designed for professionals who want to build, integrate, and deploy AI solutions in real-world business environments.
Software Developers
Looking to build AI-powered applications and production-ready solutions.
AI/ML Engineers
Ready to expand into AI agents, RAG, integrations, and deployment.
Data Scientists
Ready to take models and AI solutions beyond experimentation into production.
Data & Business Analysts
Interested in building AI-driven workflows and intelligent business solutions.
DevOps & Cloud Engineers
Looking to work with AI infrastructure, cloud deployment, and automation.
Go beyond learning AI concepts. Build the end-to-end skills to solve, integrate, deploy, and scale AI in real-world environments.
What You Get
HCL GUVI Programme
Other AI Courses
Self-Taught
Learning Approach
Structured & end-to-end
Varies
Fragmented
FDE + AI Agent Skills
One integrated curriculum
Often separate
Self-curated
Enterprise Skills
APIs, Cloud, RAG & Security
Limited / Varies
Project-dependent
Production Skills
Evals to Deployment
Often prototype-focused
Self-learned
Hands-on Learning
Workflows + Capstone
Varies
Self-initiated
Build industry-relevant AI engineering skills designed for real-world roles, backed by HCL GUVI’s career and placement ecosystem.
As enterprises move from AI experimentation to real-world deployment, professionals who can connect AI with business systems, data, and workflows are becoming increasingly valuable
AI Is Moving Into Production
Businesses need professionals who can turn AI prototypes into reliable, production-ready solutions.
Enterprises Need End-to-End AI Skills
Modern AI deployment requires more than models—data integration, APIs, cloud, security, RAG, and evaluation all matter.
AI Agents Are Changing Automation
Agentic systems can reason, use tools, access knowledge, and execute multi-step business workflows.
New AI Career Paths Are Emerging
Build skills relevant to roles across Forward Deployed Engineering, Applied AI, AI Agents, Solutions Engineering, and AI Automation.
Module 1
Understand customer needs, scope business problems, define success metrics, and design practical solution architectures.
Module 2
Build reliable integrations using Python, FastAPI, APIs, webhooks, data validation, testing, and AI-assisted development.
Module 3
Work with enterprise systems, advanced SQL, ETL/ELT, dbt, Airflow, Kafka, and data quality practices.
Module 4
Learn OAuth 2.0, OIDC, SAML, SCIM, access control, API security, SSO, and secrets management.
Module 5
Deploy solutions using Docker, Terraform, CI/CD, cloud infrastructure, IAM, and managed LLM services.
Module 6
Build RAG pipelines with document ingestion, embeddings, vector databases, hybrid search, re-ranking, and structured data retrieval.
Module 7
Build tool-using AI agents with LangGraph, MCP, memory, human approval, and multi-agent patterns.
Module 8
Measure AI quality with evaluation sets, RAG and agent metrics, regression testing, observability, guardrails, and cost optimisation.
Module 9
MUnderstand AI security, privacy, compliance, data residency, responsible AI, incident response, and production readiness.
Module 10
Learn stakeholder communication, scope management, technical demos, pilot design, production rollout, handover, and FDE interview preparation.
Apply your skills across agent engineering and Forward Deployed Engineering, from intelligent automation to production-ready client solutions.
Production-Ready AI Agent
Build an AI agent that uses tools, makes decisions, executes workflows, and operates with human oversight.
You’ll work with:
LLMs • Tool Integration • External Data • Human Approval • Evals • Deployment • Monitoring
Example: Customer Support Agent / Autonomous Data Analysis Agent
End-to-End FDE Deployment
Take a real-world problem from discovery and integration to AI deployment and production handover.
You’ll work with:
APIs • Data Pipelines • RAG • MCP • Cloud • Security • Observability
Example: A complete, production-focused AI solution
USED
USED
Learn practical AI engineering from professionals with experience across enterprise AI, cloud deployment, agentic systems, and real-world implementation.
Prepare for real-world Forward Deployed Engineering roles with practical technical preparation, client-facing skills, and role-specific interview readiness.
FDE Interview Prep
Case-based discovery & problem-solving
Live Coding & Integrations
Python, APIs & technical challenges
AI System Design
Agents, RAG, security & deployment
Customer Discovery
Requirements & solution scoping
Demo & Communication
Present solutions with confidence
Behavioural Prep
Communicate decisions & experiences effectively
Earn a certificate that validates your hands-on learning across Forward Deployed Engineering and AI Agent Engineering.
End-to-End AI Engineering
From customer discovery to production-ready AI.
Industry-Relevant Skills
From customer discovery to production-ready AI.
Strengthen Your Profile
Showcase programme completion and hands-on AI experience.
Hands-on Project
Build AI agents and complete an end-to-end FDE capstone.
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Standard Program Fee
₹1,24,999
Exclusive Scholarship Fee
For 12 Months
Live Expert-Led Learning
Structured live sessions covering FDE and applied AI engineering.
Hands-on AI Projects
Build practical AI agents, integrations, RAG systems, and automated workflows.
End-to-End FDE Capstone
Apply your skills from customer discovery and solution design through deployment and handover.
Career & Interview Preparation
Prepare for FDE-style discovery, integration, system design, and behavioural interview rounds.
Everything you need to know about the programme, curriculum, learning experience, projects, and career preparation.
It combines Forward Deployed Engineering with AI Agent Engineering to help you understand business problems, build AI-powered solutions, integrate them with enterprise systems, and take them from prototype to production.
The programme is suited for developers, AI/ML engineers, DevOps and cloud professionals, data scientists, analysts, and technical professionals looking to build applied AI and deployment skills.
You’ll learn customer discovery, Python integration, enterprise data pipelines, API security, cloud deployment, RAG, AI agents, MCP, evaluations, observability, responsible AI, and PoC-to-production practices
Yes. You’ll learn agent fundamentals, tool calling, memory, LangGraph, human approval workflows, MCP, multi-agent patterns, and common agent failure modes.
Yes. The curriculum includes practical work across AI agents, integrations, RAG, automation, evaluation, deployment, and an end-to-end FDE capstone.
Yes. The curriculum includes practical work across AI agents, integrations, RAG, automation, evaluation, deployment, and an end-to-end FDE capstone.
The curriculum covers technologies such as Python, FastAPI, SQL, Docker, Terraform, AWS/Azure/GCP, LangGraph, Make/n8n, vector databases, dbt, Airflow, and modern LLMs.
Yes. The syllabus includes FDE interview preparation covering case-style discovery rounds, live coding and integrations, AI system design, and behavioural questions. Yes. The curriculum includes practical work across AI agents, integrations, RAG, automation, evaluation, deployment, and an end-to-end FDE capstone.
You’ll apply your learning through an end-to-end FDE deployment, bringing together skills across discovery, integration, AI engineering, deployment, evaluation, and production readiness.
Forward Deployed AI Agent
*Limited Slots Only
Forward Deployed AI Agent
*Limited Slots Only
Final Step! OTP Verification
