AI Tools Learning Roadmap

Here’s a structured AI Tools Learning Roadmap based on different skill levels:

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📌 Phase 1: AI Tool Exploration (Beginner)

Goal: Get hands-on experience with AI-powered tools.

✅ Chatbots & Conversational AI

• Use ChatGPT, Claude, Bard for different tasks.

• Experiment with ChatGPT Plugins & API for automation.

✅ Generative AI

• Generate images with DALL·E & Stable Diffusion.

• Create videos with Runway ML.

✅ AI for Productivity

• Enable Notion AI, Microsoft Copilot, Google Gemini in Docs.

• Automate tasks with Zapier AI.

✅ AI for Coding

• Install GitHub Copilot in VS Code.

• Try ChatGPT for debugging & code suggestions.

🛠️ Projects:
🔹 Use ChatGPT to summarize articles.
🔹 Generate AI art using Stable Diffusion.
🔹 Automate a workflow with Zapier.

📌 Phase 2: AI Customization & Integration (Intermediate)

Goal: Learn how to build and integrate AI into applications.

✅ Chatbot Development

• Use OpenAI API to create a chatbot.

• Learn LangChain for AI-powered apps.

✅ Fine-tuning AI Models

• Train a custom NLP model using Hugging Face Transformers.

• Experiment with AutoGPT & Agent AI.

✅ Deploying AI Models

• Learn FastAPI & Flask for AI model deployment.

• Use Hugging Face Spaces for hosting AI models.

🛠️ Projects:
🔹 Build a chatbot using OpenAI’s API.
🔹 Fine-tune a text classification model with Hugging Face.
🔹 Deploy an AI-powered web app.

📌 Phase 3: Advanced AI Development (Expert)

Goal: Build and train your own AI models from scratch.

✅ Advanced AI Research & Development

• Learn Transformer architectures (BERT, GPT, Llama).

• Explore LLM fine-tuning & RLHF.

✅ AI for Real-World Applications

• Train custom AI models for speech & vision.

• Work with TensorFlow & PyTorch.

✅ Scaling & Optimizing AI

• Learn MLOps (Model Deployment & Scaling).

• Optimize AI models for efficiency.

🛠️ Projects:
🔹 Fine-tune an LLM like Llama or Falcon.
🔹 Create a multimodal AI (text + image).
🔹 Deploy an AI-powered SaaS app.