Secure your spot
AI Engineering & Intelligent Agents Course
Become an AI Engineer Without Starting Over
Secure My SpotBuild, deploy, and manage intelligent AI systems like LLMs, RAG, and multi-agent systems to work alongside you—not replace you
Duration: 10 Weeks (Part-Time & Flexible)
Commitment: 1-2 hours/day
Mentorship: Dedicated Senior Developer
Format: Weekly Live Sessions (after office hours) + Private Chat Support
Course Fee: $2,995; Save $500—Pay $2,495 Upfront; Payment Plans Available
Prerequisites: No AI Experience Required
The AI Reality for Tech Professionals
40%
of software engineering tasks could be automated by AI in the next five years.
91%
of businesses are investing in AI, but struggle to find talent
2.5x
Job postings for AI Engineers have increased 2.5x in the last year alone
The tech market is tough. Fear of becoming obsolete is real. But here’s the opportunity: AI tools can write code snippets, but they can't architect systems, debug complex issues, or understand business requirements like you can.Your engineering skills aren’t obsolete—they’re the foundation for everything you’ll build in this course.
The AI Reality for Tech Professionals
Instead of watching endless lectures, you’ll:
Build AI-powered applications—from intelligent agents to LLM-driven tools.
Solve real-world coding challenges with AI frameworks like LangChain & OpenAI APIs.
Practice learning with quizzes, exercises, and hands-on assignments.
Deploy a portfolio-worthy AI project to showcase your expertise.
Why this course?
Scroll to view full table
| App Academy | General Online Courses | Tech Bootcamps | University Programs | |
|---|---|---|---|---|
| Hands-on project-based | ✅ Build AI-powered apps, not just watch videos | ❌ Mostly passive learning | ⚠️ Some hands-on work | ⚠️ More theory than practice |
| 1:1 Mentorship & Support | ✅ Senior AI developer, private Q&A, live sessions | ❌ No direct support | ⚠️ Limited mentor access | ❌ No mentorship, only lectures |
| Duration | 10 weeks, part-time & flexible | Self-paced, but no structure | 4–6 months, often full-time | 1–2 years, full-time |
| Cost & Payment Options | $2,995 ($500 off upfront + payment plans) | $100-$500, but lacks depth | $4,000–$10,000+ | $10,000–$50,000+ |
| Career Impact | ✅ AI skills companies hire for | ❌ No structured career path | ⚠️ Some career support but expensive | ⚠️ Strong credential, but slow ROI |
Your 10-Week AI Engineering Learning Journey
Week 1-2: AI Fundamentals
Week 3-4: AI Model Deployment
Week 5-6: AI Agents & Automations
Week 7-8: AI for Engineers & Ethics
Week 9-10: Deployment & Final Project
Who Should Take This Course?
- Software engineers seeking to integrate AI into their projects and stay relevant in the evolving tech landscape.
- Data scientists looking to expand their expertise into AI-driven analytics and model deployment.
- Machine learning engineers aiming to deepen their skills in specialized areas like LLMOps, RAG, and multi-agent systems.
- Tech professionals and enthusiasts eager to gain practical, hands-on AI engineering skills and build real-world applications.
Who Should Take This Course?
- Understand LLMOps, RAG, multi-agent AI systems, and AI automation.
- Develop and manage intelligent AI agents and multi-agent systems for complex problem-solving.
- Gain expertise in LLMOps for efficient scaling and management of large language models.
- Leverage AI in your workflow to code faster, automate tasks, and innovate.
- Design and implement intelligent AI systems to solve complex engineering challenges.
- Build a portfolio-worthy final project to showcase your skills to employers and stand out in the market.
In Tech, Standing Still Means Falling Behind
Don't let the future happen to you—build it. Build the skills of tomorrow, for the life you want to experience in the future.
.svg){kind=logo}
