AI is not copy-paste prompts — it’s real deployment on ChromelabsCloud GPU servers.
The Problem (Why AI learners fail)
Students think “AI = ChatGPT” and stop there.
They copy AI-generated code from GitHub, HuggingFace, or YouTube tutorials.
They train toy models on free Colab accounts.
They don’t know about GPU servers, model serving, latency, security, or scaling.
Companies easily find out when you are just a tool user instead of an AI engineer.
Result → Thousands of “AI certificate holders” but no real AI jobs.
Our Unique Edge (TconnectHub + ChromelabsCloud)
- At TconnectHub, you don’t just use AI tools — you:
- Get access to GPU-powered servers on ChromelabsCloud.
- Learn AI architecture + deployment pipelines.
- Work with pre-trained models (open-source LLMs, CV models, TTS, etc.).
- Learn how to fine-tune models with your dataset.
- Deploy AI APIs that businesses can consume.
- Understand AI advantages vs limitations → no blind trust.
- This is the only AI program where your model runs on your own cloud domain, not just a notebook.
Our Unique Edge (TconnectHub + ChromelabsCloud)
Phase 1 – AI Foundations
What is AI, ML, DL?
History & evolution (from rule-based → neural networks → transformers).
AI ecosystem → closed vs open-source models.
Phase 2 – Data & Models
Datasets: preprocessing, cleaning, labeling.
Supervised vs unsupervised learning.
Pre-trained models (HuggingFace, TensorFlow Hub).
Phase 3 – GPU Servers & Training
Why GPU servers are needed for AI.
ChromelabsCloud GPU deployment.
Training small models on GPUs.
Phase 4 – Model Serving & APIs
Expose models as APIs.
Build chatbots, CV models, or recommendation engines.
Secure & optimize inference latency.
Phase 5 – AI in Production
Monitoring AI apps.
Scaling models for 1000s of users.
Cost management for GPU resources.
Phase 6 – AI Ethics & Future
Limitations of AI tools.
Risks: hallucinations, bias, over-dependence.
Foundation of human+AI teamwork.
Projects You’ll Build
🤖 AI Chatbot hosted on your domain (not WhatsApp clone — real deployment).
👁️ Computer Vision App (object detection / face recognition).
📝 Text Summarizer / Translator deployed via API.
🔊 Speech-to-Text / Text-to-Speech bot.
🧠 Fine-tuned AI model (custom dataset, served on GPU).
Each project will run live on your ChromelabsCloud domain with public URLs.
Projects You’ll Build
🤖 AI Chatbot hosted on your domain (not WhatsApp clone — real deployment).
👁️ Computer Vision App (object detection / face recognition).
📝 Text Summarizer / Translator deployed via API.
🔊 Speech-to-Text / Text-to-Speech bot.
🧠 Fine-tuned AI model (custom dataset, served on GPU).
Each project will run live on your ChromelabsCloud domain with public URLs.
Career Impact
After this program, you’ll have the skills to become:
AI Engineer / ML Engineer
AI Cloud Deployment Specialist
AI API Developer
Data Scientist with real deployment expertise
💼 In-house hiring at TconnectHub for AI Cloud Specialists (2–5 LPA).
Comparison (Typical AI Course vs TconnectHub)
| Feature | Institutes | TconnectHub |
|---|---|---|
| Learning | Prompts + recorded classes | Hands-on AI with GPU servers |
| Projects | Toy notebooks | Live-deployed AI APIs |
| Deployment | None | ChromelabsCloud domain + GPU |
| Career prep | Certificates | Proof-of-work + Hiring |
| Ecosystem | AI as “magic” | AI + FTSM foundation + ethics |
