Build AI systems that reason, act, and automate with confidence.
Months
Part-time
Projects
Portfolio
Tools
Industry-std
1:1
Mentorship
Personal
Agentic AI is the next evolution of artificial intelligence where systems do not just generate text but plan, reason, call tools, and act autonomously to complete real tasks. Companies are racing to build AI agents that automate operations, support customers, and power copilots. In just 4 months, you will learn how to design, build, and deploy production-ready agents using tools like LangGraph, OpenAI, and vector databases.
Everything you need to learn with confidence, build practical experience and move your career forward.
A GLOBAL LEARNING COMMUNITY
Live learning
Mentor-led sessions
6+ projects
Portfolio-ready work
1:1 mentorship
Guidance that is personal
Career preparation
Resume and interviews
100% placement
Career-ready support
Curriculum
Each phase moves from competence building into portfolio-visible output.
Timeline
Weeks 1-4
Understand modern model capabilities, prompting, evaluation, and workflow framing.
Timeline
Weeks 5-8
Build grounded assistants with retrieval, chunking, and observability in mind.
Timeline
Weeks 9-13
Coordinate tools, memory, state, and multi-step action planning.
Timeline
Weeks 14-16
Turn the technical work into portfolio proof, demos, and hiring narrative.
Explore 10 dedicated research-backed capstone systems for every domain (AI, Data, Security, Cloud) modeled after production corporate environments and SOTA literature.
Build an autonomous agent with LangGraph & RAG to transcribe clinical consultations, extract structured diagnostic observations, and auto-assign ICD-11 codes with confidence scoring.
Develop a RAG-powered knowledge graph assistant that indexes course textbooks, lecture transcripts, and slides to generate custom study roadmaps.
Train a Deep Reinforcement Learning (PPO / DDPG) agent that continuously rebalances a multi-asset portfolio to maximize Sharpe ratio under transaction fee constraints.
Develop a mobile visual search app allowing shoppers to snap a photo of any item in the physical world and instantly find matching products in catalog.
Train a Deep Reinforcement Learning agent (SAC) for a 6-axis industrial robot arm performing high-speed pick-and-place sorting of randomized parts.
Build an AI agent that inspects application architecture diagrams and OpenAPI specs to automatically generate STRIDE threat models and attack trees.
Deploy a computer vision model using CNN facial recognition to identify individual cattle, pigs, and sheep from barn camera feeds.
Build an AI agent that ingests commercial invoice PDFs and extracts product line items to auto-assign international Harmonized System (HS) tariff codes.
Build an aspect-based sentiment analysis model extracting specific product feature ratings (e.g., 'battery life', 'durability') from Amazon reviews.
Develop an AI assistant that analyzes historical judicial sentencing records to help judges identify sentencing discrepancies across similar crime profiles.
Architect a real-time streaming ML pipeline processing ICU patient telemetry (heart rate, SpO2, blood pressure) to predict septic shock 6 hours prior to clinical onset.
Implement a Deep Knowledge Tracing (DKT) model using Recurrent Neural Networks to estimate a student's mastery level of concepts over time.
Architect a parallelized GPU-accelerated Monte Carlo simulation engine calibrating interest rate yield curves (Hull-White model) to evaluate liquidity risks.
Architect an automated competitor price scraping bot and dynamic pricing engine that adjusts SKU prices based on real-time market elasticity.
Build a root-cause analytics model using Decision Trees and SHAP to identify raw material lot batches causing high assembly line scrap rates.
Architect a streaming analytics engine using Apache Flink to analyze SYN flood packet velocity and IP entropy to trigger BGP Blackhole routing.
Build an ensemble machine learning model processing local weather station IoT sensors to predict localized sub-zero frost risks 12 hours ahead for fruit orchards.
Architect a real-time IoT analytics console monitoring high-speed parcel sorter chute sensors to detect package jams and balance sorting lane loads.
Develop a fraud analytics model evaluating affiliate marketer referral sales, IP cookie stuffing velocity, and refund rates to block fraudulent commissions.
Build a 911 dispatch analytics data warehouse evaluating police, fire, and ambulance response times by city neighborhood and priority code.
Design and implement an automated Zero-Trust network gatekeeper enforcing dynamic micro-segmentation policies for hospital IoT devices (infusion pumps, MRI scanners).
Develop a continuous biometric facial recognition and keystroke dynamics verifier validating student identity throughout high-stakes online exams.
Develop a specialized SIEM analytics module parsing ISO 20022 SWIFT financial transaction messages to detect unauthorized wire transfers.
Build a fraud detection engine analyzing loyalty point redemption velocity and gift card claim patterns to flag fraudulent redemptions.
Develop a static analysis tool inspecting 3D printer G-code files to detect malicious void insertions intended to weaken structural manufactured parts.
Build an inventory tool scanning enterprise source code and TLS servers to identify legacy RSA / ECC algorithms and recommend Post-Quantum Cryptography (PQC) replacements.
Build an industrial firewall module monitoring BACnet / Modbus greenhouse environment controllers to prevent malicious heating overrides.
Build a ROS2 security module enforcing DDS-Security (Data Distribution Service) encryption and node authentication for warehouse mobile robots.
Build a continuous social media account monitoring bot scanning corporate YouTube, LinkedIn, and Twitter accounts for unauthorized admin additions.
Deploy an industrial intrusion detection agent monitoring NEMA / 170 traffic light controller communications to block malicious signal manipulation.
Design and deploy a HIPAA-compliant AWS multi-region infrastructure using Terraform featuring Aurora PostgreSQL Global Database and encrypted S3 buckets.
Build an event-driven serverless video processing pipeline on AWS using Elemental MediaConvert to transcode lecture MP4s into adaptive HLS streams.
Architect a real-time financial market tick data lakehouse on GCP using Cloud Bigtable and Dataflow ingesting 1,000,000 trade events/sec.
Deploy an AWS CloudFront CDN architecture with Lambda@Edge that automatically converts product images to compressed WebP formats based on browser capabilities.
Architect a SAP HANA high-availability environment on AWS using Terraform, AWS Launch Wizard, and SLES Pacemaker clustering for manufacturing ERP.
Deploy a Gravitational Teleport Zero-Trust access gateway on AWS providing certificate-based SSH and Kubernetes access with session recording.
Build a cost-optimized machine learning model training pipeline on AWS using SageMaker Spot Instances to train satellite crop vision models.
Architect a multi-tenant SaaS carrier portal on AWS using ECS Fargate, PostgreSQL RDS, and AWS Cognito for 500 freight brokerage clients.
Build a high-performance marketing video streaming platform using AWS S3, CloudFront CDN, and AWS WAF delivering promotional video ads worldwide.
Build a SAML 2.0 / OIDC Identity Provider integration connecting AWS IAM Identity Center with US Government PIV / CAC smart card authentication.
Build production workflows around models, tools, memory, and orchestration used by leading AI-first teams.
$95,000
starting pay for
AI Engineers
Own assistant, copilot, and retrieval-powered product surfaces at scale.
$85,000
starting pay for
LLM Application Developers
Bridge product thinking with AI engineering to ship end-user features with measurable impact.
$110,000
starting pay for
AI Product Engineers
Design task-running pipelines for internal ops and customer-facing flows.
$75,000
starting pay for
Automation Systems Builders
Sources: Glassdoor.in
and LinkedIn Salary Insights
Select a market benchmark to view salary estimates at different experience stages.
Global Benchmark Salary
Global Benchmark Salary
Global Benchmark Salary
Global Benchmark Salary
Source: LinkedIn Salary Insights and Glassdoor.com
A clear picture of the professional profile you will build over the program.
$95,000
Expected salary
Hard Skills
Soft Skills
Education
Projects
Autonomous Research Agent
Built a multi-step research agent with web search, planning, and citation, deployed to production.
Take an interactive tour inside our live coding platform, real-time code reviews, dynamic curriculum schedules, and career placement logs.
Free preview · No card · ~5 minutes
Grouping tools by what they enable keeps the learning story cleaner and more persuasive.
Core
Orchestration
Production
Real-World Applications
See how the curriculum of the **Agentic AI** program is directly applied in solving critical challenges across global sectors. Click any industry to view practice projects you can build.
“Autonomous clinical transcription and chart-summarization agents that plan, retrieve patient histories, draft diagnostic summaries, and suggest ICD codes for doctor approval.”
“Self-correcting code auditor agents that evaluate student assignments, explain syntax errors step-by-step, and recommend tailored lessons.”
“Autonomous investment research agents that comb through corporate earnings transcripts, evaluate SEC filings, and formulate portfolio adjustment recommendations.”
“Autonomous retail assistants that scan customer profiles, clarify fit styles, query inventory APIs, and generate customized outfits.”
“Autonomous procurement agents that monitor warehouse counts, select qualified parts vendors, and draft purchase orders.”
“Autonomous alert triage agents that investigate alerts, query host logs, scan files for malware, and draft incident reports.”
“Autonomous drone flight planning agents that schedule surveys, analyze raw images, and target fertilizer distribution.”
“Autonomous route management agents that coordinate freight bookings, resolve delay issues, and re-route deliveries.”
“Autonomous copywriter agents that generate campaign scripts, check alignment with brand voice guidelines, and publish posts.”
“Autonomous inquiry routing agents that analyze citizen requests, retrieve relevant procedures, and draft guidance forms.”
“Autonomous drone flight planning agents that schedule surveys, analyze raw flight parameters, and target dynamic delivery coordinates.”
“Autonomous routing agents that reschedule deliveries and select carriers based on weather, congestion, and cost.”
“Autonomous research assistants that catalog formulation logs, draft safety data sheets, and update inventory lists.”
“Autonomous scheduling agents that assign excavators, track fuel budgets, and order structural concrete.”
“Autonomous document processing agents that scan client receipts, index transaction logs, and compile audit worksheets.”
“Autonomous catalog curators that recommend media assets, organize categories, and write video highlights.”
“Autonomous styling assistants that query inventory databases, match apparel items, and draft catalogs.”
“Autonomous survey drone planning agents that coordinate offshore inspections and log telemetry reports.”
“Autonomous inventory planning agents that schedule raw shipping dispatches, check shelf logs, and order ingredients.”
“Autonomous booking agents that schedule flights, recommend hotel rooms, and compile custom travel itineraries.”
“Autonomous software testing agents that execute test scripts, analyze stack traces, and submit bug tickets.”
“Autonomous document indexing agents that scan client receipts, extract clauses, and draft legal filings.”
“Autonomous scheduling agents that assign excavators, track fuel budgets, and order site materials.”
“Autonomous grant indexing agents that scan client receipts, index donor profiles, and draft audit worksheets.”
“Autonomous scheduling agents that assign grid assets, track maintenance budgets, and order turbine blades.”
“Autonomous property search agents that schedule tours, recommend listings, and compile custom leases.”
“Autonomous research assistants that catalog experiment logs, draft chemical descriptions, and update inventory lists.”
“Autonomous scheduling agents that assign grid assets, track maintenance budgets, and order replacement transceivers.”
The Agentic AI program is mapped to the AI-103 exam objectives, so finishing the cohort puts you on a clear path to a globally recognised Microsoft credential.
Aligned exam
AI-103 · Microsoft Certified: Azure AI Apps and Agents Developer Associate
Course modules align with the exam skills outline — Azure AI services, agent design, prompt and evaluation patterns, deployment.
Curated study guide, mock questions, and practice labs hand you the prep stack instead of leaving you to assemble it.
Add a verifiable Microsoft Certified credential to your LinkedIn that recruiters and employers already screen for.
A focused cohort for engineers and ambitious professionals who want to ship agentic workflows, retrieval systems, and production-aware AI experiences.
Move from feature delivery to AI system design with real product depth.
Learn how to prototype AI-native workflows without outsourcing the core thinking.
Translate existing development experience into a sharper AI profile.
“Weekly mentor feedback helped me connect analytics concepts to real education problems. The structure kept me moving every week.”
“Every module led to something visible in my portfolio. Python and SQL finally clicked because we kept applying them to real scenarios.”
“The live sessions were focused and easy to follow. I finished with a dashboard project I can confidently show in interviews.”
“The examples felt close to real business work. I now understand how to turn a vague question into a clean analysis plan.”
“The mock interviews were direct and useful. By the end of the batch, I could explain my projects clearly and answer technical questions with confidence.”
“I was working full-time, so the recordings and review checkpoints mattered. I always knew what to complete next.”
“The mentor comments were specific, not generic. That helped me improve my notebooks and explain my choices more professionally.”
“The dashboard labs were excellent. I learned how to design reports that are useful for decision-makers, not just visually busy.”
“The Agentic AI program pushed me way beyond tutorials. I shipped an actual RAG-powered assistant as my capstone, and it is now live in production.”
“The AI Business Analytics track gave me both technical depth and storytelling frameworks to step into a management position with confidence.”
“What separates Wills is that they care about proof, not completion. By the end I had five real projects and landed a lead role in 6 weeks.”
“I was a software developer looking to pivot into data. The Data Science program gave me a structured path to frame my experience into something hiring managers respond to.”
The same trust-first system used on the homepage carries through to each program detail page.
01
Refine the story you tell about your background, projects, and direction.
02
Turn assignments into portfolio assets, case studies, and stronger proof.
03
Move into applications and interviews with clearer materials and tighter narratives.
