Catch Up With AI.
Move beyond random prompts. Learn the modern AI stack through hands-on builds: LLMs, context engineering, MCPs, coding tools, and vibe coding platforms.
AI is moving fast. Your learning should be practical.
This course is built for people who want to stop only consuming AI content and start using the tools with confidence, context, and better judgement.
You will understand the ideas behind modern AI systems, then apply them in real workflows and guided build exercises.
Understand the system
Learn how LLMs, context, MCPs, skills, tools, and interfaces fit together.
Build, do not just prompt
Work through coding tools and AI platforms to create useful, working outputs.
Learn the limits too
Recognise common vibe-coding flaws, weak assumptions, and where human review matters.
Build with AI instead of watching from the sidelines.
The focus is not one shiny tool. It is learning the thinking, workflow, and build habits that let you keep up as tools change.
Give AI better instructions
Use prompts, context, constraints, examples, and feedback loops to get more reliable outputs.
Prototype useful ideas
Use coding IDEs, CLIs, and vibe-coding platforms to turn an idea into an interface or workflow.
Review what AI builds
Spot weak logic, risky shortcuts, and missing backend or data considerations before they become bigger problems.
A guided map of the modern AI build stack.
The course starts with core concepts, then moves into tools, interfaces, practical building, and the judgement to review what you create.
Understand the AI system +
Build, test & review +
Built for people who want to work with AI more seriously.
You do not need to arrive as a software engineer. You do need curiosity, a laptop, and the willingness to learn by building.
Professionals catching up
For people who want to understand the AI tools reshaping everyday work.
Freelancers & creators
For people who want to offer smarter outputs and build faster, better workflows.
Non-technical builders
For people with ideas who want to understand enough technology to prototype responsibly.
Developers broadening their stack
For technical learners who want sharper context, tool, and AI workflow fluency.
Understand it. Build it. Review it.
The aim is not to memorise tool names. It is to learn a repeatable way of working as the AI landscape keeps moving.
Understand
Learn the concepts behind the tools before jumping into the interface.
Set up
Use the right models, context, tools, environments, and guardrails.
Build
Turn ideas into useful prototypes, workflows, or practical systems.
Review
Test assumptions, fix weak points, and decide what should happen next.
Get early access to the first Catch Up With AI cohort.
Join the priority list and we will share the first confirmed batch schedule, fee, attendance format, and enrolment process before public release.
Learn from someone building with AI, not merely talking about it.
Shehryar Sohail · NLP Specialist & AI/ML Engineer
Shehryar works across applied AI systems, including LLMs, NLP, vision, speech, and voice AI. His focus is practical: turning modern AI capability into tools, workflows, and better developer experiences.
context → tools → prototype → review
Three layers of practical AI fluency.
You will not leave with a list of tools. You will leave with a clearer picture of how they connect and when to use them.
Context-aware AI
Learn to move from one-off prompts to structured instructions, useful context, and AI systems that understand the task.
Prototype rapidly
Use AI-assisted coding tools and vibe-coding platforms to turn an idea into a usable interface or flow.
Keep your judgement
Understand the technical tradeoffs, weak assumptions, and checks that make an AI-built output more trustworthy.
Clear answers before you start building.
Still deciding whether this is the right starting point? These answers should help.
Is this only a prompting course? +
Do I need to know coding before joining? +
Will we use current AI platforms? +
Will I build something practical? +
Can I join from outside Lahore? +
What do I need before joining? +
Do not just keep up with AI. Learn to build with it.
Join the first Catch Up With AI cohort to understand the systems behind the tools, create useful prototypes, and make better decisions as the landscape moves.