Description

Learn Required Basics in Tech To Freelance

Master Multi-Agent AI Systems

Build Hands-On Technical Expertise

in Just 12 Weeks

Launch Your Career & Earn $85K+ in AI Solutions Sales

Next cohort start date: May 23, 2025

Looking to break into the cutting-edge world of AI Agent Solutions? The AI Agent Systems Bootcamp at Tech Start Academy equips you with elite AI expertise, deep technical knowledge, and the sales skills to bring these revolutionary technologies to businesses.

💡 No prior experience? No problem. We’ll give you everything you need to start freelancing and building your own consulting agency or land a role as a: 💰 AI Solutions Consultant — $85K+/year 💰 Multi-Agent Systems Specialist — $110K+/year 💰 AI Implementation Strategist — $95K+/year..

This program is designed to fast-track your success, regardless of your background.

What Makes This Bootcamp Different?

✅ Cutting-Edge AI Training – Master multi-agent systems from industry-leading experts.

✅ Hands-On Technical Experience – Build and deploy working AI agent systems for real-world applications.

✅ Direct Executive Access – Network with leaders from OpenAI, Anthropic, Microsoft, and more.

✅ Real-World Application – Gain experience creating AI solutions for actual businesses.

✅ Job Search Acceleration – Get 1:1 coaching on pitching, sales techniques, and job strategy.

✅ Flexible Payment Options – 0% interest, pay in 4 monthly installments.

Bootcamp Breakdown

Weeks 1-7: AI Foundations & Technical Implementation

✔ Master LLM theory, multi-agent architectures, and enterprise AI integration.

✔ Build strong technical foundations with software development, testing, and QA knowledge.

✔ Learn essential AI tools, automation platforms, database integration, and implementation strategies.

✔ Practice API testing, web development basics, and version control fundamentals.

✔ Develop your AI solutions playbook and perfect your business case presentations.

Weeks 8-12: Solution Development & Sales Readiness

✔ Build complete AI agent systems for real business applications.

✔ Weekly group progress check-ins to refine your technical approach and sales pitch.

✔ Business development & sales coaching to land your first clients or role.

Who Should Join?

🔹 Career Changers – Transition into the hottest tech field with in-demand skills.

🔹 Sales Professionals – Add cutting-edge AI expertise to your sales toolkit.

🔹 Tech Enthusiasts – Convert your passion for AI into a high-earning career.

Tuition & Payment Options

💲 Total Cost: $3,999 for 12 weeks 💳 Flexible Payment Plan: 0% interest, pay in 4 monthly installments.

Your Future Starts Now

AI Agent Systems are revolutionizing business operations. This bootcamp is your gateway to this lucrative field.

✅ No prior experience required

✅ Learn from top AI implementation experts

✅ Build working AI agent systems for real applications

✅ Graduate job-ready with expert coaching

🎯 Sign up now to kickstart your career in AI Solutions and become a top-notch AI Systems specialist!

Our courses: https://techstartacademy.io/
Contact us on Telegram: https://t.me/Tech_Start_Academy
Email us: hello@techstartacademy.io
Our Telegram Channel: https://t.me/techstartacademy

Course Content

4 sections • 29 lessons

1. AI Foundations and Technical Setup

12 lessons

1.0 Introduction and Technical Setup 🌅

Welcome to the AI Agent Systems Bootcamp
Course overview and learning objectives
The business potential of multi-agent AI systems
Setting up your development environment
Tools overview: Jira/YouTrack/Zendesk integration

1.1 Technical Infrastructure Essentials 🔧

Cloud hosting infrastructure for web apps and Ai
Tools and apps used in SaaS development
Google Cloud Platform fundamentals
Version control with Git and GitLab
Terminal basics for AI developers

1.2 Development Workflow and Documentation 📋

Workflow optimization for AI projects
Team roles in AI development
Software Development Life Cycle (SDLC)
Documentation best practices
Creating comprehensive user guides and wikis

1.3 Testing Fundamentals 🧪

ABC of testing applications
QA vs. Testing approaches
What constitutes a bug
Triaging issues effectively
Using Jira for project management

1.4 Advanced Testing 🔍

Lifetime of a bug
Types of testing for conversational agents
Testing methods: White/Gray/Black box
Advanced testing techniques
Using browser dev tools for troubleshooting

1.5 Web Development Essentials 🌐

HTML/CSS basics for AI implementation
Understanding selectors and XPath
Mobile responsiveness considerations
JavaScript fundamentals for AI integration
API basics and RESTful principles

1.6 The AI Landscape 🗺️

Current state of AI agent technology
Key players in the AI agent ecosystem
Business applications across industries
Ethical considerations in AI implementation

1.7 LLM Theory 🧬

How large language models work
Foundation models vs. specialized agents
Prompt engineering fundamentals
LLM limitations and workarounds

1.8 LLM History 📜

Evolution of language models
From rule-based systems to generative AI
Case studies of successful business implementations
Future trends in AI agent technology

1.9 Database Integration for AI Agents 💾

SQL basics for AI system integration
CRUD operations in AI applications
Database design for conversational agents
NoSQL databases for unstructured AI data
Testing database connections in AI systems

1.10 API Testing for AI Solutions 🔌

Postman for API testing of AI endpoints
CRUD operations with AI services
Understanding API documentation and Swagger
Creating automated API tests
Performance testing basics with JMeter

1.11 LLM Field Work 🧰

Hands-on practice with popular LLM platforms
Building your first AI agents
Connecting LLMs to business systems
Testing and evaluating agent performance

1.12 Prompt Alchemy ⚗️

Advanced prompt engineering techniques
Creating specialized agents through prompting
System prompts vs. user instructions
Building a prompt library for various business use cases

2. AAA Foundations

6 lessons

2.0 Introduction to Autonomous AI Agents 🌅

The multi-agent revolution
Agent architectures and interaction patterns
Business value of autonomous systems
Setting up your agent development stack

2.1 Genesis of Multi-Agent Systems 🧫

Core principles of agent orchestration
Agent roles and specialization
Information flow between agents
Integration with existing business processes

2.2 Economic Tradewinds for AI Solutions ⛵️

ROI calculation for AI implementations
Build vs. buy decision frameworks
Economic models for AI adoption
Cost reduction vs. value creation approaches

2.3 Golden Opportunity in Business AI ⚜️

Identifying high-value AI use cases
Opportunity sizing and prioritization
Competitive analysis frameworks
Creating compelling AI transformation pitches

2.4 AI Implementation Success Formula 🧪

Key performance indicators for AI systems
Measuring and demonstrating business impact
Testing and optimization techniques
Building and validating AI implementation hypotheses

2.5 Pricing Perfection for AI Solutions 🏷️

Pricing strategy fundamentals for AI systems
Value-based pricing techniques
Subscription vs. project-based pricing models
Demonstrating ROI to potential clients

3. Solution Sorcery