Become anAI Engineer
Build AI systems that reason, act, and automate with confidence.
4
Months
Part-time
6
Projects
Portfolio
20+
Tools
Industry-std
1:1
Mentorship
Personal
What is Agentic AI?
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.
Where can your Agentic AI Mastery training take you?
AI Engineer
Build production workflows around models, tools, memory, and orchestration used by leading AI-first teams.
$95,000
starting pay for
AI Engineers
LLM Application Developer
Own assistant, copilot, and retrieval-powered product surfaces at scale.
$85,000
starting pay for
LLM Application Developers
AI Product Engineer
Bridge product thinking with AI engineering to ship end-user features with measurable impact.
$110,000
starting pay for
AI Product Engineers
Automation Systems Builder
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
Agentic AI is the highest-paying AI career track with massive growth ahead
Source: LinkedIn Salary Insights and Glassdoor.com
You after Wills Education
A clear picture of the professional profile you will build over the program.
AI Engineer
$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.
The learning path is paced like a product roadmap, not a random chapter list.
Each phase moves from competence building into portfolio-visible output.
Timeline
Weeks 1-4
AI Product Foundations
Understand modern model capabilities, prompting, evaluation, and workflow framing.
Timeline
Weeks 5-8
Retrieval and Knowledge Systems
Build grounded assistants with retrieval, chunking, and observability in mind.
Timeline
Weeks 9-13
Agentic Orchestration
Coordinate tools, memory, state, and multi-step action planning.
Timeline
Weeks 14-16
Shipping and Positioning
Turn the technical work into portfolio proof, demos, and hiring narrative.
The stack is organized around capability, not feature-name overload.
Grouping tools by what they enable keeps the learning story cleaner and more persuasive.
Core
Orchestration
Production
A role-aware structure for learners with different starting points.
A focused cohort for engineers and ambitious professionals who want to ship agentic workflows, retrieval systems, and production-aware AI experiences.
Software engineers
Move from feature delivery to AI system design with real product depth.
Technical founders
Learn how to prototype AI-native workflows without outsourcing the core thinking.
Career switchers with code fluency
Translate existing development experience into a sharper AI profile.
Career support is presented as a structured process, not a vague promise.
The same trust-first system used on the homepage carries through to each program detail page.
01
Position
Refine the story you tell about your background, projects, and direction.
02
Package
Turn assignments into portfolio assets, case studies, and stronger proof.
03
Pursue
Move into applications and interviews with clearer materials and tighter narratives.
Questions learners ask before choosing Agentic AI.
Apply
Move from interest to admissions with a clearer signal.
Agentic AI is designed to feel deliberate from first impression to final CTA. The application flow keeps that same tone.