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AlisTech
Practical Technology Training

Learn Technology. Build Your Skills.

Learn useful technology skills through practical training designed to help you understand modern tools and apply what you learn.

Hands-On Practice Modern AI & Software Tools Simple, Plain Explanations
Core Programs

Explore Our 8 Courses

Review the fundamentals of each program. Click 'More Details' on any course to request the complete brochure & syllabus via WhatsApp.

01

Python Programming

A gentle, practical start to writing software and automating everyday computer tasks with code.

About this course

Learn the fundamentals of computer programming and logical thinking using Python, the world's most accessible and versatile coding language.

Key skills covered (overview)
  • Writing clean Python syntax and functions
  • Working with lists, dictionaries, and text files
  • Connecting to web APIs and handling data
  • Debugging and solving everyday code problems
What you may build or understand
  • Write scripts to automate daily repetitive computer tasks
  • Understand core programming logic used across modern software
02

Data Science & Data Analytics

Turn everyday business figures into clear, visual charts and practical decisions.

About this course

Learn how to collect, organize, clean, and explore datasets to answer real questions and present data in simple, compelling ways.

Key skills covered (overview)
  • Data cleaning and filtering
  • Summary statistics and trend analysis
  • Visual charts and simple interactive dashboards
  • Asking the right questions from raw data
What you may build or understand
  • Understand business numbers and identify growth trends
  • Create clear visual reports and dashboards that explain complex information simply
03

Machine Learning

Discover how computers learn patterns from examples instead of fixed manual rules.

About this course

Learn how machine learning models spot patterns in past data to predict outcomes, organize information, and help make smarter recommendations.

Key skills covered (overview)
  • How computers learn from data (training vs. testing)
  • Classification, regression, and clustering basics
  • Evaluating how accurately a model predicts
  • Choosing the right model for a specific problem
What you may build or understand
  • Understand how predictive features (like recommendations and forecasts) work
  • Train and evaluate models on real datasets
04

Deep Learning

Explore the multi-layer neural networks that power image recognition, voice tools, and modern AI.

About this course

Understand how artificial neural networks work, how they process images and sounds, and how deep architectures learn rich patterns.

Key skills covered (overview)
  • Neural network foundations and layers
  • How networks learn from error (training process)
  • Recognizing patterns in image and audio data
  • Using pre-trained models to solve visual tasks
What you may build or understand
  • Understand the inner workings of modern neural network architectures
  • Apply vision and recognition models to practical problems

Generative AI & Language Models

Learn how modern language models work and how to build smart assistants on top of them.

About this course

Understand the technology behind ChatGPT and modern LLMs, and learn how to connect language models with your own tools and documents.

Key skills covered (overview)
  • Effective prompt engineering and context framing
  • Connecting with LLM APIs in practical software
  • Question-answering over your own documents (RAG)
  • Checking for quality, safety, and reliable answers
What you may build or understand
  • Understand how large language models generate text and handle context
  • Build custom AI assistants that can read notes and answer questions accurately

AI Agents & Automation

Teach AI to plan multi-step tasks, use software tools, and get real work done for you.

About this course

Learn how AI agents break down a goal into steps, interact with email, spreadsheets, and messaging apps, and complete workflows with human supervision.

Key skills covered (overview)
  • How AI agents plan steps and make decisions
  • Connecting AI to tools, databases, and APIs
  • Automating multi-step repetitive processes
  • Keeping a human in the loop for safety and review
What you may build or understand
  • Understand how autonomous software workflows are structured
  • Build an agent workflow that can process an enquiry and send a response
07

Computer Vision

Enable software to inspect, recognize, and interpret images and real-time video feeds.

About this course

Learn how computers process visual information, detect objects, read text from images, and analyze camera feeds for practical applications.

Key skills covered (overview)
  • Image processing basics (pixels, filters, edges)
  • Detecting and tracking objects in photos and video
  • Reading text from documents and signs (OCR)
  • Visual inspection and counting concepts
What you may build or understand
  • Understand how cameras and software work together to interpret scenes
  • Build simple image detection pipelines for counting or quality checking
08

Natural Language Processing

Understand how software analyzes, categorizes, and summarizes written human language.

About this course

Learn the fundamentals of processing written language, extracting sentiment from reviews, categorizing messages, and summarizing long articles.

Key skills covered (overview)
  • Breaking text into words, tokens, and meanings
  • Sentiment analysis and customer feedback tagging
  • Text categorization and smart search
  • Automatic summarization of longer documents
What you may build or understand
  • Understand how search engines and text analyzers process words
  • Build a tool that categorizes customer feedback and detects customer sentiment
Dedicated AI Spotlights

In-Depth Course Spotlights

While our 8 core courses cover full-spectrum technology foundations, our two dedicated spotlights take a deep dive into the most transformative fields of modern AI: Generative AI & LLMs and Agentic AI.

Dedicated Spotlight • Course 05
Specialized AI Track

Generative AI & LLMs

Learn how modern Large Language Models work and how to build practical, context-aware AI assistants, custom document search tools (RAG), and smart automations on top of them.

Key Topics Overview
Prompt engineering
Working with LLM APIs
Chat with your own documents (RAG)
Building chatbots and assistants
Checking and improving AI answers
A final project you can show
What You Can Build in This Course
1

Private Document Assistant (RAG)

Query internal company PDFs, handbooks, and policies with exact citations.

2

Domain-Specific Chatbot

Build conversational bots with system personas, rules, and conversational memory.

3

Automated Summary Pipeline

Summarize lengthy customer feedback, reports, or transcripts into structured bullets.

4

Quality & Guardrail Checker

Evaluate AI responses, prevent hallucinations, and verify safety before delivery.

Concept Preview • Document RAG Flow
User Question“What is our refund timeline for online course enrolments?”
Searching verified handbook documents... (Found Section 4.2)
AI Assistant (Grounded Answer)Refunds are processed within 5 business days if requested within 48 hours of enrolment.
PromptingLLM APIsEmbeddingsRAGGuardrails

Course Details & Brochure Request

Via WhatsApp

Learn more about target audience, practical project milestones, and request the official syllabus.

Dedicated Spotlight • Course 06
Autonomous Systems Track

Agentic AI

Move beyond simple chat interfaces. Teach AI to break down multi-step goals, use business software tools, and complete end-to-end work autonomously with human oversight.

Key Topics Overview
How AI agents plan and decide
Connecting tools and APIs
Multi-step workflows
Automating WhatsApp, email and sheets
Safety and human approval
A final project you can show
What You Can Build in This Course
1

Inquiry Follow-up Agent

An agent that reads incoming leads, categorizes intent, and creates follow-up tasks.

2

Tool-Calling Task Runner

Connect AI agents to Google Sheets, email APIs, web search, and calculation tools.

3

Multi-Step Workflow Automator

Coordinate multi-agent sequences where one agent drafts, one verifies, and one notifies.

4

Human-in-the-Loop Safe Guard

System pauses to request human sign-off before sending messages or altering data.

Concept Preview • 4-Step Agent Execution
  1. 1
    GoalFollow up with every new enquiry.
  2. 2
    PlanCheck the sheet, then write a message for each person.
  3. 3
    ActSend on WhatsApp and update the sheet.
  4. 4
    ReportShow you the list and ask before anything important.
Task PlanningTool UseAPI ActionsHuman Approval

Course Details & Brochure Request

Via WhatsApp

Learn more about target audience, practical workflow projects, and request the official syllabus.

Our Learning Approach

Why Practical Learning Works

Technology evolves quickly. Reading notes or watching lectures alone does not give you confidence with code and AI tools.

We focus on real implementation. You learn by writing code, testing ideas, running tools, and seeing how software works in real scenarios. We avoid unrealistic promises and focus entirely on helping you build genuine competence.

Honest & Transparent TrainingNo exaggerated claims or unrealistic guarantees. Just practical, step-by-step guidance designed to make you comfortable with modern technology.

Focus on Hands-On Practice

We believe you learn best by doing. Rather than just reading theory, you work through real code examples and practical tasks.

Simple, Step-by-Step Language

We explain complex concepts in plain English without unnecessary technical jargon, so you can build understanding at a steady pace.

Modern, Useful Tools

Training focuses on standard technologies, libraries, and workflows used in modern software development and AI engineering.

Direct & Attentive Support

You receive clear answers to your questions, guidance on problem-solving, and practical feedback to help you improve your skills.

Simple Enrolment

How to Enquire About Training

Get in touch to discuss your goals, ask questions, and request detailed course brochures.

01

Choose Your Course

Review the basic course introductions above and pick the subject you are interested in exploring.

02

Request the Syllabus on WhatsApp

Click 'More Details' and then 'Get Brochure on WhatsApp'. A pre-filled message will open with AlisTech.

03

Receive Brochure & Discuss Schedule

Our team will share the complete brochure, syllabus outline, and available batch timings directly with you.

Direct Communication

Ready to talk about your training?

Reach out directly on WhatsApp or call our team.

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