Get 10% off the Web with Agentic AI Program

Instructor-led practical program

Build modern web experiences and intelligent AI-powered applications.

Web with Agentic AIFull Stack AI Engineer Program

Explore 25 modules across generative AI, automation, Python, data analytics, frontend, backend and cloud computing.

A 10-month, 80-lecture learning path that combines AI tools and agentic automation with full-stack web development. Learn to create useful AI workflows, build modern interfaces and deploy complete applications.

  • Prompt Engineering
  • n8n & AI Agents
  • Python & Data Analytics
  • React & Next.js
  • FastAPI & Firebase
  • Node.js, MongoDB & AWS
Explore curriculum

View learning roadmapDownload syllabus PDF

Your learning path

  1. Prompt Engineering
  2. Generative AI
  3. n8n Automation
  4. AI Agents
  5. Python
  6. Data Analytics
  7. Machine Learning
  8. Streamlit & FastAPI
  9. HTML & CSS
  10. JavaScript
  11. React
  12. Next.js
  13. Firebase
  14. Node.js & Express
  15. MongoDB
  16. AWS & Cloud
  17. Freelancing
Modules
25
Lectures
80
Program duration
10 months
Web + AI learning path
Full stack

Live weekend and weekdays sessions with direct mentor guidance

Learn from practitioners who ship AI for a living

Technical educators and system architects guiding you from Python basics to autonomous multi-agent systems.

Mian Ahmad Basit
Lead technical trainer & curriculum architect

Mian Ahmad Basit

CEO, CTO & Lead AI Engineering Trainer

AI Engineer - GenAI - Agentic AI - Cloud

  • 50,000+ trained learners worldwide
  • 50+ live AI SaaS & BaaS products built
  • CTO @ Pakistan Blockchain Institute
  • Founder of P2P Clouds & tech lead
Zeeshan Ali

Lead instructor

Zeeshan Ali

Software Engineer & Technical Project Manager

Ahmad Hasan

Instructor

Ahmad Hasan

Software Engineer & AI Systems Developer

Build skills across web development, AI and automation

A structured learning path from AI tools and automation to full-stack development and cloud deployment.

  • Generative AI tools

    Create text, image, video and audio workflows

  • AI agents & automation

    Build integrations and multi-step workflows with n8n

  • Full-stack web development

    Learn frontend, backend, databases and modern frameworks

  • Data & machine learning

    Explore analytics, ML and deep learning foundations

  • Cloud deployment

    Understand AWS and cloud application delivery

  • Career & freelancing

    Build practical skills for projects and client work

What is included

  • 25 course modules
  • 80 lectures
  • AI and automation workflows
  • Frontend and backend development
  • Database and cloud fundamentals
  • Practical project-oriented learning

Your roadmap to building web applications with AI

Follow the modules from AI workflows and programming foundations to full-stack applications and cloud deployment.

Module 01Learning Block 11 module

Prompt & Workflow Engineering

Design reliable prompts and reusable workflows for modern AI applications.

Checkpoint

Prompt & Workflow Engineering Checkpoint

Milestone

Apply Prompt & Workflow Engineering in a practical project

Skills you gain

Prompt & Workflow Engineering

Tools you use

Modules in this phase

  • WAI-01Prompt & Workflow Engineering

Phase 1 of 25

Complete course curriculum

Explore all 25 modules and their original topics, organized in the same phase/module/topic-group structure as the production LLM program.

25
Phases
25
Modules
287
Topics & subtopics

Download the full master syllabus (PDF)

Save every phase, module, topic and project outline to your device.

Download syllabus PDFView online
Module 01Learning Block 1 · 1 module

Prompt & Workflow Engineering

Design reliable prompts and reusable workflows for modern AI applications.

Module 02Learning Block 2 · 1 module

AI Content Generation – Text, Image, Video & Audio

Generate text, images, video and audio with modern generative AI tools.

Module 03Learning Block 3 · 1 module

n8n – No-Code Automations & AI Agents

Build event-driven workflows, integrations and AI agents with n8n.

Module 04Learning Block 4 · 1 module

App Builders (AI-Powered No-Code/Low-Code Platforms)

Prototype and ship applications with AI-powered no-code and low-code platforms.

Module 05Learning Block 5 · 1 module

Dialogflow CX – Chatbots & Conversational Agents

Design conversational experiences, intents, flows and virtual agents.

Module 06Learning Block 6 · 1 module

Python

Build a strong Python foundation for automation, data and AI engineering.

Module 07Learning Block 7 · 1 module

Git & GitHub

Use Git and GitHub for version control, collaboration and project delivery.

Module 08Learning Block 8 · 1 module

Agentic AI & Automations

Build tool-using agents and automate multi-step tasks with reliable workflows.

Module 09Learning Block 9 · 1 module

Applied Math

Apply essential mathematics and statistics used in data science and machine learning.

Module 10Learning Block 10 · 1 module

Data Analytics

Explore, clean, analyze and communicate insights from real-world datasets.

Module 11Learning Block 11 · 1 module

Machine Learning (ML)

Train, evaluate and apply machine-learning models to practical problems.

Module 12Learning Block 12 · 1 module

Deep Learning (DL)

Understand neural networks and deep-learning workflows for modern AI.

Module 13Learning Block 13 · 1 module

Streamlit

Build interactive data apps and AI demos with Streamlit.

Module 14Learning Block 14 · 1 module

FastAPI

Create robust APIs and backend services with FastAPI.

Module 15Learning Block 15 · 1 module

HTML

Structure accessible, semantic web pages with HTML.

Module 16Learning Block 16 · 1 module

CSS

Style responsive, polished web interfaces with CSS.

Module 17Learning Block 17 · 1 module

Bootstrap & Tailwind CSS

Build responsive interfaces efficiently with Bootstrap and Tailwind CSS.

Module 18Learning Block 18 · 1 module

JavaScript

Develop interactive web applications with modern JavaScript.

Module 19Learning Block 19 · 1 module

React JS

Build component-based user interfaces with React.

Module 20Learning Block 20 · 1 module

Next JS

Create full-stack web applications with Next.js.

Module 21Learning Block 21 · 1 module

Firebase

Use Firebase services to add authentication, data and backend capabilities.

Module 22Learning Block 22 · 1 module

Node.js and Express.js

Build server-side applications and APIs with Node.js and Express.js.

Module 23Learning Block 23 · 1 module

MongoDB

Model, query and manage application data with MongoDB.

Module 24Learning Block 24 · 1 module

AWS and Cloud Computing

Deploy applications and understand core cloud-computing workflows on AWS.

Module 25Learning Block 25 · 1 module

Business Development & Freelancing

Develop a portfolio, find clients and plan freelance or product-based work.

Lead instructor, CTO @ PBI & Anz Tech

Direct mentorship, guaranteed

“We don't teach surface-level prompts. You will write production Python code, build n8n workflows, deploy open-weight DeepSeek-R1 models, and configure NVIDIA security guardrails.”

Mian Ahmad Basit

Learn the official stack used by top AI labs and enterprises

No toy libraries. You get hands-on practice with n8n, Claude, OpenAI, NVIDIA NeMo, Hugging Face, DeepSeek and Meta LLaMA.

  • n8n

    Workflow automation

    Self-hosted AI

    Enterprise AI agent workflow orchestration, webhooks and FastAI agent integrations nodes

  • Claude

    Anthropic AI

    Computer Use & FastAI agent integrations

    Artifacts, Computer Use, prompt caching and high-reasoning agent execution

  • OpenAI ChatGPT

    Frontier LLM

    Realtime & function calling

    Structured JSON outputs, Assistants API, voice realtime and o1/o3 reasoning

  • NVIDIA NeMo & NIM

    Enterprise security & acceleration

    NeMo Guardrails & NIM

    Prompt injection defense, PII masking, TensorRT-LLM microservices

  • Hugging Face

    Open-source ecosystem

    Transformers & TGI

    Model Hub, datasets, Text Generation Inference, PEFT and safetensors

  • DeepSeek-R1 & V3

    Reasoning & MoE

    Chain-of-thought (CoT)

    Multi-head Latent Attention (MLA), GRPO rule-based RL and self-hosted distillation

  • Meta LLaMA 3.3

    Open weights

    8B / 70B / 405B

    QLoRA 4-bit, DPO alignment, Unsloth acceleration and on-prem deployment

  • Google Gemini

    Multimodal frontier

    2M token context

    Context caching, AI-powered web workflows and video document processing

  • LangGraph & LangChain

    Agent framework

    Stateful swarms

    Human-in-the-loop interrupts, state checkpointing and agent communication routing

  • Qdrant & Pinecone

    Vector database

    HNSW & ColBERT

    High-density vector indexing, hybrid BM25 retrieval and payload filtering

  • vLLM & Ollama

    AI application operations serving

    PagedAttention

    Continuous batching, LoRA multi-serving and local on-prem cluster execution

  • FastAI agent integrations & Docker/K8s

    Protocol & cloud infrastructure

    Helm & AWS and cloud deployment

    Model Context Protocol, containerized microservices and auto-scaling pods

Models, providers and automation

Frontier models & providers

API and open-weights integration

  • OpenAI

    GPT-4o, o1, o3-mini, Realtime API and function calling

  • Claude (Anthropic)

    Claude 3.5 Sonnet, Artifacts, Computer Use and prompt caching

  • NVIDIA

    NeMo Guardrails, NIM microservices and TensorRT-LLM

  • Hugging Face

    Transformers, datasets, TGI, Hub models and PEFT

  • DeepSeek

    DeepSeek-R1, V3, reasoning chains and distillation

  • Meta AI

    LLaMA 3.1 / 3.3 (8B, 70B, 405B) AI integration

  • Google Gemini

    Gemini 1.5 Pro/Flash, context caching and multimodal AI-powered retrieval

Workflow & agent automation

Low-code to code-native platforms

  • n8n

    Self-hosted enterprise AI workflow orchestration and webhooks

  • FastAI agent integrations

    Model Context Protocol tooling and server architecture

  • LangGraph

    Stateful multi-agent swarms with human-in-the-loop

  • PydanticAI

    Type-safe production agent framework in pure Python

  • CrewAI / AutoGen

    Role-based multi-agent collaboration networks

  • Ollama / vLLM

    Local and cloud high-throughput inference engines

See how AI swarms and enterprise AI-powered retrieval pipelines run

Run the live trace to watch guardrails, tool calls and multi-agent protocols working together.

Multi-agent swarms & AI agent integrationsColPali vision & GraphAI-powered retrievalAI security & NeMo GuardrailsvLLM serving & AWS and cloud deployment
Live architecture engine v2.4
ACTIVE

Tokens: ~28

Pipeline trace logs

> [System Init] Loading LangGraph Supervisor with FastAI agent integrations tools...

> [Security Gate] NVIDIA NeMo Guardrail: Input Sanitized (No PII / No Injection Detected)

> [Agent Router] Request dispatched to DevOps Agent & Code Review Agent via agent communication Protocol

> [Tool Call] FastAI agent integrations Server invoked: kubectl get pods -n production

> [Reasoning Trace] DeepSeek-R1 chain-of-thought: Identifying memory bottleneck on worker node 04...

> [Human-in-the-Loop] HITL interrupt triggered for write permission: Patch deployment approval required

> [Status] Agent Execution Paused - Waiting for Human Operator Checkpoint

  1. 01NeMo security gate

    PII masking with Presidio, prompt injection defense and input policy validation.

  2. 02LangGraph supervisor

    Stateful graph routing, checkpoint persistence and human-in-the-loop interrupts.

  3. 03FastAI agent integrations & agent communication tools

    Standardized Model Context Protocol servers and inter-agent delegation.

  4. 04vLLM & Inspect AI

    High-throughput model serving with LoRA adapter routing and eval-gated score checks.

Want to build these architectures from scratch?

Get the full syllabus and join the Web with Agentic AI Program.

Build zero-trust security into production AI

Enterprise clients will not buy unsafe AI. Learn NeMo Guardrails, Presidio PII masking, prompt injection defense and air-gapped private VPCs.

  • Input, output and dialog rules

    NVIDIA NeMo Guardrails

    Prevent hallucination, enforce strict brand dialog boundaries and block prompt injection attempts in real time.

  • Data redaction and anonymization

    Microsoft Presidio PII masking

    Automatically strip social security numbers, credit cards, emails and sensitive credentials before they reach LLM APIs.

  • Jailbreak and attack hardening

    OWASP Top 10 for LLMs defense

    Protect against indirect prompt injection, vector database denial-of-service, data poisoning and unauthorized tool calls.

  • On-prem DeepSeek & LLaMA

    Private air-gapped VPC deployment

    Deploy zero-data-leakage open-weight models inside local AWS and cloud deployment clusters or isolated AWS/GCP VPCs.

Covered in Phase 10 (AI-powered retrieval security) and Phase 16 (AI security, guardrails and RBAC)

The security promise

“I teach the exact zero-leakage security patterns required by banks, health networks and Fortune 500 enterprises.”

Master 60+ modern AI frameworks and tools

From agent orchestrators and coding assistants to protocols, memory systems, observability and cloud environments.

Agent Frameworks

9

  • LangChain

    Core

    Ecosystem for LLM application components and LCEL pipelines.

  • LangGraph

    Core

    Stateful, cyclic multi-agent graph orchestration.

  • OpenAI Agents SDK

    Core

    Official OpenAI SDK for agent loops and tool execution.

  • Google ADK

    Core

    Google Agent Development Kit for Gemini and Vertex AI.

  • AWS Strands

    Core

    AWS framework for building cloud-native multi-agent swarms.

  • CrewAI

    Core

    Role-based multi-agent orchestration framework.

  • LlamaIndex

    Core

    Data framework for LLMs, AI-powered retrieval and query workflows.

  • n8n

    Visual node-based workflow automation for AI tools.

  • LangFlow

    Interactive visual UI for building and testing AI agents.

Coding Agents & IDEs

7

  • Claude Code

    Core

    Anthropic agentic CLI for workspace code refactoring.

  • OpenClaw

    Open-source autonomous coding agent.

  • NemoClaw

    NVIDIA NeMo backed coding assistant.

  • Hermes Agent

    Core

    Autonomous agent CLI built for persistent terminal execution.

  • Codex CLI

    Command-line interface for OpenAI code generation.

  • opencode

    Open terminal coding agent for automated repositories.

  • Antigravity IDE

    Core

    Agentic AI coding workspace powered by Gemini.

Protocols & Standards

2

  • AI agent integrations (Model Context Protocol)

    Core

    Open standard for connecting AI models to tools and data sources.

  • agent communication (Agent-to-Agent Protocol)

    Core

    Standardized protocol for inter-agent task delegation and discovery.

Memory & Knowledge

4

  • mem0

    Core

    Universal long-term memory layer for AI agents and assistants.

  • LangGraph Checkpointing

    Core

    State persistence and time-travel debugging in graph agents.

  • LlamaIndex Memory

    Contextual memory modules for conversational query engines.

  • GraphAI-powered retrieval (Neo4j)

    Core

    Knowledge graph powered retrieval augmented generation.

AgentOps & Observability

5

  • AgentOps

    Core

    Agent benchmarking, cost analysis and execution tracking.

  • LangSmith

    Core

    Full-suite tracing, debugging and testing platform.

  • Opik

    Open-source LLM evaluation and monitoring engine.

  • Langfuse

    Core

    Open-source observability, prompt management and analytics.

  • Logfire

    Core

    Span-level telemetry from the Pydantic team.

Core AI Concepts

11

  • AI-powered retrieval

    Core

    Retrieval Augmented Generation for external knowledge grounding.

  • Agentic AI-powered retrieval

    Core

    Agent-driven dynamic search, self-correction and synthesis.

  • Context Engineering

    Core

    Optimizing context windows, pruning and memory layout.

  • Prompt Engineering

    Core

    CoT, few-shot and structured prompt optimization.

  • Pydantic

    Core

    Data validation and typed schemas for LLM contracts.

  • Vector DBs (Qdrant/Pinecone)

    Core

    High-speed vector similarity indices.

  • Agent Evaluation (Inspect AI)

    Core

    Task, solver and scorer evaluation harnesses.

  • Agent Security & RBAC

    Core

    Multi-tenant isolation, prompt defense and JWT RBAC.

  • Guardrails (NeMo / Presidio)

    Core

    Input/output scanners, toxicity filters and PII masking.

  • FAISS

    Facebook AI Similarity Search vector library.

  • Tavily

    Core

    Search API optimized for LLM agent research loops.

Deployment & Web UI

7

  • Docker

    Core

    Multi-stage containerization for reproducible builds.

  • GitHub Actions

    Core

    Automated CI/CD workflows for testing and deployment.

  • FastAPI

    Core

    High-performance Python web framework for async AI APIs.

  • BentoML

    Unified framework for serving and packaging ML models.

  • Nginx

    High-performance reverse proxy and SSL termination.

  • Streamlit

    Core

    Rapid Python web UI prototyping for data and AI.

  • Gradio

    Interactive Python interfaces for machine learning models.

Cloud Infrastructure

4

  • AWS (EKS / Bedrock / Lambda)

    Core

    Amazon Web Services cloud suite for AI workloads.

  • GCP (Vertex AI / Cloud Run / GKE)

    Core

    Google Cloud Platform AI and serverless containers.

  • Azure (Azure OpenAI / AI Foundry)

    Core

    Microsoft Azure enterprise cloud platform.

  • Self-Hosted VPS

    Core

    Bare-metal and private virtual servers for cost efficiency.

Model Providers & Inference

7

  • OpenAI (GPT-4o / o3-mini)

    Core

    Frontier models and structured output endpoints.

  • Anthropic (Claude 3.5 Sonnet)

    Core

    High intelligence reasoning and coding models.

  • Google Gemini (1.5 Pro / Flash)

    Core

    Multimodal 2M+ token context window models.

  • Groq

    Core

    Ultra-fast LPU inference engine for open-source LLMs.

  • Ollama

    Core

    Local LLM runner for LLaMA-3, DeepSeek-R1 and Phi-3.

  • AWS Bedrock

    Core

    Managed foundation models on Amazon Web Services.

  • Azure OpenAI

    Core

    Enterprise-grade managed OpenAI endpoints on Azure.

Career scope and earning potential

AI engineering is one of the most in-demand technical skill sets. These ranges show what skilled engineers can charge.

  • Full-time jobs

    Global AI engineer salary

    $120K - $250K / yr

    Top remote positions across US, UK, EU and UAE companies seeking specialized agentic and AI-powered retrieval engineers.

  • Upwork & LinkedIn

    Remote consulting rate

    $80 - $250 / hr

    High-ticket hourly rates for custom DeepSeek AI integration, vector database optimization and agent setups.

  • Per-project contracts

    Enterprise AI agency retainer

    $5,000 - $25,000

    Building multi-tenant AI SaaS, self-hosted n8n automation and confidential enterprise AI-powered retrieval pipelines.

Freelancing income estimator

Estimate your monthly revenue from part-time remote consulting.

$120/hr
$50 junior$250 architect
15hrs/wk
5 hrs side hustle40 hrs full-time

Estimated monthly earnings

$7,200/ month

About $86,400 per year from part-time remote consulting.

Illustrative market ranges, not income guarantees. Your results depend on your skills, portfolio and effort.

Student bonuses and career accelerator toolkit

Beyond the technical curriculum, enrollment includes career placement support, freelancing frameworks, LMS access and direct mentorship.

  • Hands-on practical projects

    Production repos & full codebases

    Zero fluff or toy demos. You build production-grade, containerized LLM and agent systems on AWS, GCP and AWS and cloud deployment.

    • Production GitHub repositories with complete test suites
    • Dockerized FastAPI microservices and Helm charts
    • DeepSeek-R1 and LLaMA 3.1 QLoRA/DPO AI integration notebooks
    • ColPali VLM multimodal AI-powered retrieval and Neo4j knowledge graph setups

    Included in the program

  • LMS recorded lectures

    2 years of LMS portal access

    Never miss a single insight. Revisit HD class recordings, code repositories and slide decks anytime for 24 months.

    • Searchable HD session recordings with timestamps
    • Downloadable Jupyter notebooks and architecture PDF blueprints
    • Interactive module quizzes and self-assessment benchmarks
    • Quarterly content updates on new AI breakthroughs

    Included in the program

  • Internship opportunities

    AI engineering internships & career growth

    Fast-track your career with internship referrals at partner organizations, Pakistan Blockchain Institute and Anz Technologies.

    • Internship placement path for top program performers
    • Official verified certificate of completion from the instructor
    • 1-on-1 portfolio and GitHub profile review by Mian Ahmad Basit
    • Mock technical interviews for AI engineer and AI application operations roles

    Included in the program

  • Freelancing & business development

    AI agency & freelance business playbook

    Learn how to monetize your skills, win high-ticket $5,000-$25,000 AI consulting clients and launch scalable AI SaaS products.

    • Proven Upwork and LinkedIn client acquisition scripts
    • Enterprise AI architecture proposal and scope templates
    • Pricing models for custom LLM AI integration and agentic automation
    • Building multi-tenant AI SaaS/BaaS products from scratch

    Included in the program

Direct guidance by Mian Ahmad Basit

CTO @ Pakistan Blockchain Institute & Anz Technologies, founder of P2P Clouds

“I review code repos, guide business pitches and personally mentor candidates aiming for senior AI roles.”

Where do you stand in your AI journey?

Answer 3 quick questions to find your personalized entry point.

Question 1 of 3

0% complete

What is your current background in Python and programming?

Frequently asked questions

Clear answers about the program structure, prerequisites, tools and support.

  • Python developers, software engineers, AI/ML engineers, data scientists, full-stack developers and technical professionals moving into modern production AI.

Build practical skills for the AI-powered web

Create web apps that do more.

Learn generative AI, automation, agentic workflows and full-stack development in one structured program.

Get 10% off the Web with Agentic AI Program

Enroll before the timer ends and mention the code in your application. Code: MASTER10

Explore the curriculum
  1. Prompt Engineering
  2. Generative AI
  3. n8n
  4. AI Agents
  5. Python
  6. Data Analytics
  7. Machine Learning
  8. Streamlit
  9. FastAPI
  10. HTML
  11. CSS
  12. JavaScript
  13. React
  14. Next.js
  15. Firebase
  16. Node.js
  17. MongoDB
  18. AWS
  19. Freelancing

Offer valid until the timer ends. Seats are limited.