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Practical AI SaaS training
Practical. Build It. Launch It. Get Paid For It.
Learn 10 practical modules to build, launch, market and monetize AI-powered SaaS products.
A practical 3-month, 24-lecture training program covering AI content generation, no-code app builders, vibe coding, SaaS deployment, SEO, US/UK business setup, paid marketing and freelancing.
Live weekend and weekdays sessions with direct mentor guidance
Technical educators and system architects guiding you from Python basics to autonomous multi-agent systems.
CEO, CTO & Lead AI Engineering Trainer
AI Engineer - GenAI - Agentic AI - Cloud
Go from prompts and AI-assisted development to launching, marketing and selling a real SaaS product.
Prompt engineering, generative content and reusable workflows
Build apps using AI-powered builders and coding agents
Plan, build, test and deploy an MVP
Domains, DNS, SSL and deployment fundamentals
Improve discoverability and acquire customers
Explore business setup, client work and service packaging
Move through AI workflows, app building, product deployment, SEO, business setup and customer acquisition.
Understanding Prompt Engineering & Token Economics.
Checkpoint
Prompt & Workflow Engineering Checkpoint
Milestone
Apply Prompt & Workflow Engineering in a practical project
Phase 1 of 10
Explore all 10 modules and their topics, organized using the same phase/module/topic-group structure as the production LLM program.
Explore all 10 modules, topics and practical project milestones.
Understanding Prompt Engineering & Token Economics.
Prompt & Workflow Engineering: Understanding Prompt Engineering & Token Economics System, User & Assistant Prompts Explained Tokens, Context Window & Cost Optimization.
Core Concepts
Tools & Workflow
Implementation & Practice
Key outcome
Apply Prompt & Workflow Engineering skills in building, launching, marketing or monetizing an AI SaaS product.
Understanding LLMs – GPT, Gemini, Claude & Google Models.
AI Content Generation – Text, Image, Video & Audio: Understanding LLMs – GPT, Gemini, Claude & Google Models Google AI Studio – Model Selection, Prompting & Testing Text Generation Use Cases: Summaries, Blogs, Marketing Copy.
Core Concepts
Tools & Workflow
Implementation & Practice
Key outcome
Apply AI Content Generation – Text, Image, Video & Audio skills in building, launching, marketing or monetizing an AI SaaS product.
Introduction to AI App Builders – Where They Fit in the SaaS Workflow.
App Builders (AI-Powered No-Code/Low-Code Platforms): Introduction to AI App Builders – Where They Fit in the SaaS Workflow Lovable – Prompt-to-Full-Stack App Generation Bolt.new – Instant Scaffolding & In-Browser Full-Stack Dev.
Core Concepts
Tools & Workflow
Implementation & Practice
Key outcome
Apply App Builders (AI-Powered No-Code/Low-Code Platforms) skills in building, launching, marketing or monetizing an AI SaaS product.
What is Vibe Coding – The AI-Native Development Workflow.
Vibe Coding & AI-Assisted Development: What is Vibe Coding – The AI-Native Development Workflow Cursor – AI-First Code Editor Setup & Agent Workflows GitHub Copilot – Code Completion, Chat & Agent Mode.
Core Concepts
Tools & Workflow
Implementation & Practice
Key outcome
Apply Vibe Coding & AI-Assisted Development skills in building, launching, marketing or monetizing an AI SaaS product.
Idea Validation & Market Research for SaaS Products.
AI SaaS Development – Idea to Deployment (Capstone Module): Idea Validation & Market Research for SaaS Products Defining MVP Scope & Feature Prioritization Wireframing & UI/UX Planning (Figma & Google Stitch).
Core Concepts
Tools & Workflow
Implementation & Practice
Key outcome
Apply AI SaaS Development – Idea to Deployment (Capstone Module) skills in building, launching, marketing or monetizing an AI SaaS product.
Choosing & Buying a Domain (Namecheap, GoDaddy, Cloudflare Registrar).
Domain Buying & SaaS Deployment: Choosing & Buying a Domain (Namecheap, GoDaddy, Cloudflare Registrar) DNS Management & Domain Connection to Hosting/App Builders SSL Certificates & HTTPS Setup Basics.
Core Concepts
Tools & Workflow
Key outcome
Apply Domain Buying & SaaS Deployment skills in building, launching, marketing or monetizing an AI SaaS product.
SEO – How Search Engines Crawl, Index & Rank Pages.
On-Page AI SEO: SEO – How Search Engines Crawl, Index & Rank Pages Keyword Research & Search Intent Mapping (Ahrefs, SEMrush, Google Keyword Planner etc.) Title Tags, Meta Descriptions & Header Tag Optimization.
Core Concepts
Tools & Workflow
Implementation & Practice
Hands-On Application
Key outcome
Apply On-Page AI SEO skills in building, launching, marketing or monetizing an AI SaaS product.
Why Register a US/UK Company as a Freelancer or SaaS Founder.
Starting Your Business – USA & UK: Why Register a US/UK Company as a Freelancer or SaaS Founder USA LLC – Overview & Structure (Delaware vs Wyoming etc.) USA LLC Registration Forms & Required Documents (EIN, Operating Agreement, Registered Agent).
Core Concepts
Tools & Workflow
Implementation & Practice
Key outcome
Apply Starting Your Business – USA & UK skills in building, launching, marketing or monetizing an AI SaaS product.
Paid Marketing – Funnels, Targeting & Ad Objectives.
Paid Marketing – Social & Search Ads: Paid Marketing – Funnels, Targeting & Ad Objectives Meta Ads Manager – Campaign, Ad Set & Ad Structure Facebook & Instagram Ads – Audience Targeting & Lookalike Audiences.
Core Concepts
Tools & Workflow
Implementation & Practice
Hands-On Application
Key outcome
Apply Paid Marketing – Social & Search Ads skills in building, launching, marketing or monetizing an AI SaaS product.
Choosing a Profitable Freelancing Niche.
Fiverr & Upwork Freelancing: Choosing a Profitable Freelancing Niche Fiverr Gig Creation & SEO (Title, Tags, AND/OR Keyword Logic) Fiverr Algorithm – Impressions, Clicks & Conversion Optimization.
Core Concepts
Tools & Workflow
Implementation & Practice
Key outcome
Apply Fiverr & Upwork Freelancing skills in building, launching, marketing or monetizing an AI SaaS product.
Lead instructor, CTO @ PBI & Anz Tech
“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
Practice with AI models, app builders, coding assistants, deployment platforms, SEO tools and marketing platforms.
Generative AI
AI content & prompt workflows
Use LLMs for content, ideation, product workflows and AI-powered features.
Automation
Workflow automation
Connect services and automate repeatable content and business workflows.
AI app builders
App building & deployment
Prototype, iterate and deploy SaaS interfaces and applications.
Vibe coding
AI-assisted development
Generate, refine, review and test application code with AI assistance.
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
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
Run the live trace to watch guardrails, tool calls and multi-agent protocols working together.
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
PII masking with Presidio, prompt injection defense and input policy validation.
Stateful graph routing, checkpoint persistence and human-in-the-loop interrupts.
Standardized Model Context Protocol servers and inter-agent delegation.
High-throughput model serving with LoRA adapter routing and eval-gated score checks.
Get the full syllabus and join the Web with Agentic AI Program.
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
Prevent hallucination, enforce strict brand dialog boundaries and block prompt injection attempts in real time.
Data redaction and anonymization
Automatically strip social security numbers, credit cards, emails and sensitive credentials before they reach LLM APIs.
Jailbreak and attack hardening
Protect against indirect prompt injection, vector database denial-of-service, data poisoning and unauthorized tool calls.
On-prem DeepSeek & LLaMA
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)
“I teach the exact zero-leakage security patterns required by banks, health networks and Fortune 500 enterprises.”
A practical toolkit spanning AI models, app builders, coding assistants, domains, SEO, payments and marketing.
Ecosystem for LLM application components and LCEL pipelines.
Stateful, cyclic multi-agent graph orchestration.
Official OpenAI SDK for agent loops and tool execution.
Google Agent Development Kit for Gemini and Vertex AI.
AWS framework for building cloud-native multi-agent swarms.
Role-based multi-agent orchestration framework.
Data framework for LLMs, AI-powered retrieval and query workflows.
Visual node-based workflow automation for AI tools.
Interactive visual UI for building and testing AI agents.
Anthropic agentic CLI for workspace code refactoring.
Open-source autonomous coding agent.
NVIDIA NeMo backed coding assistant.
Autonomous agent CLI built for persistent terminal execution.
Command-line interface for OpenAI code generation.
Open terminal coding agent for automated repositories.
Agentic AI coding workspace powered by Gemini.
Open standard for connecting AI models to tools and data sources.
Standardized protocol for inter-agent task delegation and discovery.
Universal long-term memory layer for AI agents and assistants.
State persistence and time-travel debugging in graph agents.
Contextual memory modules for conversational query engines.
Knowledge graph powered retrieval augmented generation.
Agent benchmarking, cost analysis and execution tracking.
Full-suite tracing, debugging and testing platform.
Open-source LLM evaluation and monitoring engine.
Open-source observability, prompt management and analytics.
Span-level telemetry from the Pydantic team.
Retrieval Augmented Generation for external knowledge grounding.
Agent-driven dynamic search, self-correction and synthesis.
Optimizing context windows, pruning and memory layout.
CoT, few-shot and structured prompt optimization.
Data validation and typed schemas for LLM contracts.
High-speed vector similarity indices.
Task, solver and scorer evaluation harnesses.
Multi-tenant isolation, prompt defense and JWT RBAC.
Input/output scanners, toxicity filters and PII masking.
Facebook AI Similarity Search vector library.
Search API optimized for LLM agent research loops.
Multi-stage containerization for reproducible builds.
Automated CI/CD workflows for testing and deployment.
High-performance Python web framework for async AI APIs.
Unified framework for serving and packaging ML models.
High-performance reverse proxy and SSL termination.
Rapid Python web UI prototyping for data and AI.
Interactive Python interfaces for machine learning models.
Amazon Web Services cloud suite for AI workloads.
Google Cloud Platform AI and serverless containers.
Microsoft Azure enterprise cloud platform.
Bare-metal and private virtual servers for cost efficiency.
Frontier models and structured output endpoints.
High intelligence reasoning and coding models.
Multimodal 2M+ token context window models.
Ultra-fast LPU inference engine for open-source LLMs.
Local LLM runner for LLaMA-3, DeepSeek-R1 and Phi-3.
Managed foundation models on Amazon Web Services.
Enterprise-grade managed OpenAI endpoints on Azure.
Apply your skills to client projects, AI-powered web products, SaaS experiments and digital marketing services.
AI SaaS products
MVP to live product
Use AI app builders and vibe coding workflows to validate and launch a SaaS idea.
Freelancing
Services & projects
Package AI-assisted development, automation, SEO and marketing services for clients.
Growth & marketing
SEO + paid ads
Practice landing-page optimization, campaign setup, analytics and iterative growth.
Estimate your monthly revenue from part-time remote consulting.
Estimated monthly earnings
$7,200/ month
About $86,400 per year from part-time remote consulting.
Outcomes vary by skills, product-market fit, execution and market conditions. No income or employment is guaranteed.
Beyond the technical curriculum, enrollment includes career placement support, freelancing frameworks, LMS access and direct mentorship.
Hands-on practical projects
Zero fluff or toy demos. You build production-grade, containerized LLM and agent systems on AWS, GCP and AWS and cloud deployment.
Included in the program
LMS recorded lectures
Never miss a single insight. Revisit HD class recordings, code repositories and slide decks anytime for 24 months.
Included in the program
Internship opportunities
Fast-track your career with internship referrals at partner organizations, Pakistan Blockchain Institute and Anz Technologies.
Included in the program
Freelancing & business development
Learn how to monetize your skills, win high-ticket $5,000-$25,000 AI consulting clients and launch scalable AI SaaS products.
Included in the program
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.”
Answer 3 quick questions to find your personalized entry point.
Question 1 of 3
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Answers about the AI SaaS training, tools, practical work and business topics.
The program duration is 3 months and includes 24 lectures.
Topics include prompt engineering, generative AI, AI app builders, vibe coding, SaaS deployment, SEO, business setup, paid marketing and freelancing.
The capstone module covers the process of planning, building, testing and deploying a SaaS product using AI app builders and vibe coding workflows.
Yes. It includes on-page SEO, paid social and search ads, campaign performance tracking and ROAS analysis.
Yes. It includes Fiverr and Upwork profile setup, proposals, pricing, client communication and portfolio building.
Yes. It introduces USA LLC and UK Ltd structures, registration documents, vendors, remote banking and payment gateway setup.
Your next idea can become a product
Learn practical AI-assisted workflows to create SaaS products, publish them online, improve visibility and pursue customers through marketing and freelancing.
Get 10% off the Web with Agentic AI Program
Enroll before the timer ends and mention the code in your application. Code: MASTER10
Offer valid until the timer ends. Seats are limited.
