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AI Engineer Free Webinar: Build a Real AI Agent With Us, Live
90 minutes, live and free. Watch an AI agent built start to finish, see the skills companies hire AI Engineers for right now, and get your questions answered live.
Our placement partners
- Live with Siddharth “Sid” Sharma, Microsoft Certified Trainer & Anthropic Authorized Instructor
- A real AI agent built live, start to finish — not a sales pitch
- Open Q&A with an Anthropic & Microsoft authorized instructor
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Siddharth “Sid” SharmaMicrosoft Certified Trainer · Anthropic Authorized Instructor
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AI Engineer · Live Masterclass · Sun, 18th Oct 2026
Inside our live sessions — real classrooms, real learners
Session Agenda
What you'll learn in 90 minutes
Six things you will walk out understanding — each one shown live, not read off a slide.
What AI Engineers build day to day
Agents, retrieval-augmented generation and LLM features that actually ship — not chatbot demos that never leave a notebook.
A working AI agent, built in front of you
Tools, retrieval and evaluation wired together live, the same way learners ship it inside the full programme.
Claude & Azure AI in production
Tool calling, MCP, guardrails and cost control — the parts that decide whether an AI feature gets approved or quietly killed.
The skills companies are hiring for right now
Multi-agent systems, evaluation and LLMOps are scarce and paid for; prompt writing on its own is already discounted. See where you sit.
Salary reality in India, by employer type and city
IT services versus GCCs and product companies, Bengaluru versus Hyderabad — with the numbers behind the gap.
Your path from here
What to learn first, how the programme is structured, how placement support fits — and an open Q&A with the instructor.
Free · Live on Sun, 18th Oct 2026 at 8:30 PM IST · Recording sent to registered attendees
Meet Your Speaker
The session is run by a Microsoft Certified Trainer, not a sales team
You're not getting a recorded deck read out by a coordinator. You're getting 90 minutes with someone who builds and teaches this stack for a living.
Siddharth “Sid” Sharma
Senior Consultant & Corporate Trainer · Cloud, Data & AI Solutions Architect
📍 Singapore · Microsoft Certified Trainer since February 2016
Over a decade building and teaching the modern data and AI stack. His day job is Microsoft Fabric data engineering, Azure Machine Learning and multi-cloud architecture across AWS, Azure and GCP — pipelines, lakehouses and DevOps workflows for enterprise teams, turned into training people can actually follow.
He has held Microsoft Certified Trainer status since 2016 — one of the longest-running MCT credentials on our faculty. He also wrote the SoftBank case study from our last masterclass: four AI agents that read a startup pitch, search the web, check the numbers and write an investment memo. The code is free on GitHub.
Microsoft Certified Trainer (MCT) · 2016
Anthropic Authorized Instructor
AWS Solutions Architect Associate
Microsoft Professional · Data Science
Microsoft Professional · DevOps
Azure Machine Learning
Certified Trainer
Authorized Instructor
aws
AWSCertified Architect
Your Instructor
Live in this session
He builds a working AI agent end to end — tools, retrieval, evaluation — then answers whatever you ask.
Trained & consulted for teams at
Company names and marks identify organisations whose teams have taken training or consulting delivered through 360 Digital Transformation. They do not imply affiliation with, endorsement by, or partnership with 360 Digital Transformation.
From Our Last Masterclass
Here's what our last free session actually looked like
Screens from our AI Engineer masterclass on 26 Sep 2026: live job numbers, a real case study, code run in front of everyone, and the placement support we offer. Attendee names are hidden.
Sid, teaching in person
Sid also runs on-site training for enterprise teams. A few moments from a recent in-person session.
Already In Production
The systems you'll learn to build, running at this scale
Microsoft Fabric, Azure AI Foundry, RAG and autonomous agents aren't classroom theory — they're live production systems at global brands, built by AI engineers doing exactly what this program trains you for. Tap a card to see what each one built.
Dentsu
Global reporting rebuilt on one data layer
Tap to flip ↻What they built
Dentsu consolidated global reporting onto Microsoft Fabric with centralised gold-layer datasets, cutting data replication time by 55% across its markets.
Microsoft FabricMedallion Layers
↺ Tap to close
Accenture
75+ RAG use cases live in production
Tap to flip ↻What they built
Accenture built its enterprise gen-AI practice on Azure AI Search RAG — more than 75 use cases running in production and AI app build time cut roughly in half.
Azure AI SearchRAG
↺ Tap to close
DOMCURA
An agent that settles claims in 10 minutes
Tap to flip ↻What they built
"KIM", an agent on Microsoft Foundry, reads and settles insurance claims autonomously in around ten minutes — work that used to sit in a queue for days.
Microsoft FoundryAutonomous Agents
↺ Tap to close
Tata Realty
Enterprise analytics, fully modernised
Tap to flip ↻What they built
Tata Realty and Infrastructure moved its enterprise analytics onto Microsoft Fabric, pulling scattered operational data into one governed, AI-ready platform.
Microsoft FabricEnterprise Analytics
↺ Tap to close
Examples drawn from publicly published Microsoft customer stories. Company names and marks are used only to identify the deployments described and do not imply any affiliation with, endorsement by, or partnership with 360 Digital Transformation.
Demand vs Supply
Why AI Engineers get paid what they do
Every company wants agents, RAG and LLM features shipped this year. Almost nobody has the engineers who can actually ship them — and that gap is the whole reason this role pays what it does.
The gap that isn't closing
AI job postings vs job-ready AI engineers entering the market — India, indexed to 100 in 2022
AI engineering roles being hired for
Job-ready AI engineers available
Demand has nearly quadrupled since 2022. Supply has not doubled. NASSCOM puts India's need at ~1 million AI-skilled professionals by 2027 against a trained pool of roughly 5–6.5 lakh today.
The two salary markets nobody tells you about
Typical annual CTC in India — IT services & consulting vs GCCs, product companies and AI-native startups
IT services & consulting
GCCs, product companies & AI-native startups
GCCs and AI-native product companies pay 40–70% more for the same years of experience. A mid-level engineer there out-earns a senior at a services firm. The jump isn't about waiting longer — it's about skill depth, and that's exactly what the program is built to give you.
Which skills the market is actually starving for
Hiring intensity vs available talent across the agentic AI stack — and what each one does to your offer
Skill
Employer demand
Talent supply
Pay uplift
Multi-agent systemsAgent frameworks, tool use, orchestration
Very High
Very Scarce
Highest
LLM fine-tuning & optimisationAdaptation, distillation, serving cost
Very High
Very Scarce
+25–45%
RAG & vector retrievalGrounding models in real company data
High
Scarce
₹25–50L specialists
Evaluation & guardrailsThe part that decides if it ships
Very High
Very Scarce
Rising Fast
MLOps / LLMOpsDeployment, monitoring, cost control
High
Scarce
₹40–60L senior
Claude & Azure AI in productionTool calling, MCP, enterprise deployment
Very High
Very Scarce
Rising Fast
Python & API engineeringThe floor, not the differentiator
High
Moderate
Baseline
Prompt writing on its ownWhat most candidates still lead with
Declining
Oversupplied
Discounted
Demand / scarcity:
low → critical
Everyone applying for AI roles has "prompt engineering" on their CV. Almost nobody can show a working multi-agent system with evaluation and guardrails — which is precisely what this program puts in your hands.
Where the money is
Typical mid-to-senior AI engineer bands by city, India — remote and hybrid roles are narrowing these gaps
Bengaluru
₹15–40L
Hyderabad
₹12–30L
NCR / Gurugram
₹12–28L
Pune
₹10–25L
Mumbai
₹10–24L
Chennai
₹9–22L
Bengaluru pays the most but is the most crowded — roughly 11 applicants per role, against about 4.5 in Hyderabad. You don't have to relocate to earn well, but you do have to be hireable by the companies paying these numbers.
~1 million by 2027
NASSCOM's estimate of the AI-skilled professionals India will need — against a currently trained pool of roughly 5–6.5 lakh. That shortfall is the entire reason these salaries keep climbing.
4–6 months
How long a senior AI engineering role typically takes to fill through normal recruiting. Companies are not waiting it out — they are paying up, and increasingly promoting from inside.
~70% aren't looking
Most qualified senior GenAI engineers are employed, well paid and not on job boards. Which means the roles keep going to whoever can prove the skill — not whoever has the longest CV.
Sources: NASSCOM demand and skills-gap estimates, Glassdoor, PayScale, Taggd, TeamLease Digital, and 2026 India AI salary guides and hiring reports. All figures are market ranges and directional indicators — not individual guarantees. City, employer type, skills and interview performance move individuals across these bands.
Success Stories
What past learners say
A genuinely useful 4-day Google Data Engineer course that played a huge role in clearing my certification on the first attempt.
Archana Bhalla
Data Science & Big Data Engineer, Atos
Outstanding technical trainers with immense hands-on exposure to Big Data, and the patience to explain every question in detail.
Harish Agarwal
Top Consulting Firm
One of the best trainings I've attended — in-depth Machine Learning knowledge with real financial industry use cases.
Ashish Kulshrestha
Managing Director, American Express
The 360 training team delivered great content and quality — we're already looking forward to our next engagement with them.
Mani Periawar
Senior Manager, Groupon
Simplified tough Google ML Bootcamp topics with concrete examples, making difficult material easy and fast to understand.
Ekawut Suwanicho
Data & ML Solution Engineer, Tangerine Co. Ltd.
Great working with 360 Digital Transformation on our e-Recruitment module, exploring real AI capabilities we could build on top.
Basant Kumar
CTO, SequelOne
Why Attend
90 minutes that could save you 2 years of guessing
This isn't a sales webinar dressed up as training. It's the fastest way to find out whether AI engineering fits you — and exactly what's missing right now.
01
See exactly where you stand — no guesswork
₹8–15 LPA AI engineering roles are open right now. You'll leave knowing precisely what separates you from qualifying for one.
02
Watch a real AI agent get built, live
Not a slide deck walkthrough — an actual working agent built in front of you, the same kind our learners ship inside the full program.
03
Get a straight answer from someone qualified
Ask an Anthropic and Microsoft authorized instructor anything — no chatbot, no "we'll follow up," no sales rep pretending to be technical.
Is This For You
Who should attend
No prior AI experience is assumed. If you recognise yourself below, the hour is worth it.
Developers who want to build with LLMs
You can write Python or JavaScript and want to move past prompting into agents, RAG and evaluation.
Data & ML professionals moving into GenAI
You know the maths and the models; you need the engineering that puts them in front of real users.
IT professionals & consultants upskilling
Your projects now have an AI line item and you want to be the person who can actually deliver it.
Students & freshers targeting AI roles
You want a clear picture of what an AI Engineer is expected to show before your first interview.
Authorized Training & Certification Partners
Authorized Partner
Our Placement Partners
Placement support means interview preparation and introductions to our partners. Each partner runs its own hiring.
Trusted By Professionals At
Featured In
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Rated by thousands of real learners
Scores pulled directly from our public profiles on each platform.
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Program Highlights
What comes with the Agentic AI Developer Program
Official Partner Status
Anthropic & Microsoft authorized — not a knockoff bootcamp
Dual Certification Track
Claude CCA-F + Microsoft AI-103, both in one program
100+ Hours, All Live
Real instructors, real time — zero pre-recorded filler
1:1 Mentor Access
A dedicated mentor who knows your name, not a chatbot
11 Projects, 8 Capstones
Ship a portfolio recruiters actually stop scrolling for
Agents, RAG & Evaluation
The exact stack the market is short of — built, not described
Lifetime Recording Access
Rewatch any session, anytime, for as long as you need
Never Miss a Concept
Skip a class? Re-attend the same module free, any batch
Real Placement Support
Mock interviews, resume rewrites, LinkedIn overhauls
Verified Certificate
Your Certificate
Proof you can put on your CV the same day
Finish the program and you walk away with a shareable certificate of completion — plus a clear, prepared path to the Microsoft exams that hiring managers actually screen for.
-
✓360DT Certificate of Completion
Issued in your name with a verifiable ID — post it straight to LinkedIn or attach it to an application.
-
✓Prepared for CCA-F & AI-103
Claude Certified AI Fundamentals and Microsoft Azure AI Engineer Associate — full exam prep, practice sets and doubt-clearing built into the program.
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✓Agents, RAG & Evaluation
The production agent stack almost nobody else on the shortlist can actually demonstrate.
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✓A portfolio, not just paper
11 projects and 8 capstones — including a working multi-agent system you can open and walk an interviewer through.
39,000+Learners trained
30+Companies trust us
1,250+Courses delivered
4.5/5Average learner rating
Where This Webinar Leads
The Agentic AI Developer Program
The session focuses on the AI engineering track. We'll touch on Forward Deployed Engineering as the natural next step — both include dual certification prep with Anthropic and Microsoft.
This Webinar's Focus
Agentic AI Developer Program
From Python fundamentals to shipping autonomous, multi-agent AI systems. Dual prep for Claude CCA-F & Microsoft AI-103.
View Program
The Next Step Up
Forward Deployed Engineer Program
Where AI engineers go next — the customer-facing implementation and deployment skills top AI companies hire for.
View Program
Program Creators
Learn from mentors who build this for a living
Anthropic and Microsoft authorized trainers run this program live. Hover any card for their full background.
Naga Nandhini
Certified Trainer
Java Full Stack Corporate Trainer with 10+ years of turning freshers and professionals into job-ready engineers.
More about Naga
Trained engineering teams at HCL, Accenture, Cybage, Mobileum and Renault. Bright Beginning Award winner for building RAPTOR and KIKO for an American Airlines client.
LinkedIn ↗
Praveen Kumar
Certified Trainer
Full stack lead and GenAI corporate trainer with 50+ enterprise batches delivered across Java, React and Python.
More about Praveen
Ex-TCS and Hexaware team lead. Trains teams at HCL, Perficient and Renault Nissan, and builds RAG apps on Ollama, FastAPI and MongoDB.
LinkedIn ↗
Vikas Mittal
Certified Trainer · Your Speaker
Google Authorized Instructor and Anthropic Authorized Instructor with a focus on production ready AI training.
More about Vikas
25+ years across Google, Microsoft, and emerging AI technologies.
Siddharth Sharma
Certified Trainer
Microsoft Certified Trainer since 2016, specializing in Microsoft Fabric, Azure data engineering and cloud AI platforms.
More about Siddharth
Singapore-based Senior Consultant & Corporate Trainer. 10+ years across Azure ML, cloud AI, DevOps and multi-cloud (AWS, Azure, GCP). Microsoft Certified Trainer since 2016.
LinkedIn ↗
Bipeen
Certified Trainer
AWS Authorized Trainer, Microsoft Certified Trainer and Anthropic Certified Trainer specializing in cloud AI.
More about Bipeen
25+ years, renowned global corporate trainer and conference speaker.
Shruti Sinha
Certified Trainer
AWS Authorized Trainer, Microsoft Certified Trainer and Anthropic Certified Trainer leading enterprise AI teams.
More about Shruti
20+ years aligning advanced technology with real business growth.
Sravia
Certified Trainer
NVIDIA Authorized Instructor with deep expertise in applied machine learning and cloud native AI systems.
More about Sravia
10+ years, expert in ML, MLOps and enterprise training.
Deep
Certified Trainer
Anthropic Authorized Instructor with twenty years of experience across AI, cloud platforms and enterprise training.
More about Deep
Known for simplifying complex concepts into practical, hands-on learning.
Florian Garcia Compte
Certified Trainer
Cisco Certified Systems Instructor (CCSI) specializing in Data Center, Nexus and Wireless.
More about Florian
Partner Director at a Cisco Learning Partner in Madrid, delivering official CCNA, CCNP Enterprise and CCNP Data Center courses.
Akim Nyamande
Certified Trainer
Microsoft, CompTIA, Juniper and Cisco Certified Trainer specializing in networking and cybersecurity fundamentals.
More about Akim
5+ years as an IT training facilitator, previously a Network Administrator before moving into technical training.
Johan
Certified Trainer
D365 Customer Service Lead, Power Platform School Founder
More about Johan
D365 Customer Service Lead – Europe at Avanade, and founder of the Power Platform School. A Microsoft Business Applications MVP and Microsoft Certified Trainer based in London, specializing in Dynamics 365 Customer Service and Power Platform.
LinkedIn ↗
Ali El Khatib
Certified Trainer
Cisco Certified Systems Instructor (CCSI), Microsoft Certified Trainer
More about Ali
Cisco Instructor and Microsoft Trainer, Infrastructure Engineer at RHUH. 13 years of training experience, holds CCSI, MCSE, CCNP R&S, CCNP Security, CompTIA, and Microsoft 365 certifications.
LinkedIn ↗
Shantanu Pandey
Certified Trainer
Microsoft, Google, NVIDIA and HPE Certified Trainer
More about Shantanu
Director of Engineering at Meteoros Automation, HPE Partner. Microsoft Top 100 Trainer 2025, holds MCT, Google Cloud Authorized Trainer, NVIDIA Certified Instructor, and PeopleCert credentials, specializing in AI/ML and Cloud Architecture with 500+ trainings delivered.
LinkedIn ↗
Arshad Ahmad
Certified Trainer
Microsoft Certified Trainer (MCT), Cybersecurity & Power Platform Expert
More about Arshad
15 years in Cybersecurity, Dynamics 365, Power Platform, and Advanced Excel/Power BI. Holds MCT, Azure Solutions Architect Expert, Cybersecurity Architect Expert, and AWS SysOps credentials, with 200+ trainings delivered.
LinkedIn ↗
FAQ
Frequently asked questions
What does an AI Engineer actually do?
An AI Engineer builds the systems around the model rather than the model itself — retrieval pipelines, agents, evaluation, guardrails and the plumbing that connects them to real business data. It's software engineering with LLMs as a component, which is why the demand is growing faster than any adjacent role.
Who is running this session?
Siddharth “Sid” Sharma — a Singapore-based Senior Consultant and Corporate Trainer who has held Microsoft Certified Trainer status since 2016 and is an Anthropic Authorized Instructor. He works across Microsoft Fabric data engineering, Azure Machine Learning, DevOps and multi-cloud architecture (AWS, Azure, GCP), and wrote the SoftBank multi-agent case study from our last AI Engineer masterclass.
Is this webinar really free?
Yes — completely free, no card required. Reserve your seat with your name, phone and email and we'll send you the joining link.
Do I get a certificate?
The full Agentic AI Developer Program ends with a 360 Digital Transformation certificate of completion issued in your name with a verifiable ID, ready to share on LinkedIn. It sits alongside your Claude CCA-F and Microsoft AI-103 exam prep — the certificate shows you did the work, the vendor certifications are what recruiters screen for, and the agents you build are what get you through the interview.
Do I need any prior AI/coding experience?
No. The session is built for both complete beginners and working professionals exploring a move into AI engineering roles.
Will I get a recording if I can't attend live?
Yes, everyone who registers gets the recording, whether or not you attend live.
Is this a sales pitch in disguise?
The session itself is genuine, hands-on teaching. We'll mention our programs at the end for anyone who wants to go further — no pressure either way.
What's the difference between this webinar and the paid program?
The webinar is a single 90-minute session to show you what AI engineering actually looks like. The Agentic AI Developer Program is 100+ hours of live training, mentor support, projects and dual certification prep — this is a taste, not a shortcut around it.
How is this different from the Data Engineer webinar?
That session is about the data layer — pipelines, lakehouses, modelling and governance. This one is about the systems built on top of it: agents, RAG and evaluation. Plenty of people do the data one first, because AI projects stall without the data platform underneath.
How is this different from the Forward Deployed Engineer webinar?
This session is about building AI systems — agents, RAG pipelines, evaluation. The Forward Deployed Engineer session is about deploying them inside customer organisations. Most people start here and grow into that.
Do I need to install anything to join?
No installs needed to attend — just a stable internet connection and the joining link we email you. If you want to follow along hands-on, we'll share simple setup steps in advance.
Is my payment or card information needed to register?
No. Registration only needs your name, phone and email so we can send you the joining link and reminders — no payment details are ever requested for the webinar itself.
Will there be job or placement support after the program?
Yes — mock interviews, resume and LinkedIn support, and introductions to hiring partners are part of the full program. Final hiring decisions always depend on your interview performance and the employer's needs.
What if I don't understand some of the technical parts?
That's exactly what the live Q&A is for. The instructor will pause to explain anything that isn't landing — this session is built to meet you at whatever level you're starting from.
Seats are limited for Sun, 18th Oct 2026
Reserve your free seat for the AI Engineer session in under a minute.
AI Engineer · Free Live Webinar