iAKH Studio

🚀 2025 AI Development Roadmap

1️⃣ Fundamentals of AI & Machine Learning
- Linear Algebra, Probability, and Statistics
- Python, NumPy, Pandas, Matplotlib
- Machine Learning Basics (Supervised & Unsupervised Learning)

2️⃣ Deep Learning & Neural Networks
- TensorFlow & PyTorch
- CNNs (Computer Vision), RNNs & LSTMs (Sequential Data)
- Transformers & Attention Mechanisms

3️⃣ Natural Language Processing (NLP)
- Tokenization & Embeddings (Word2Vec, BERT, GPT)
- LLMs (Large Language Models) & Fine-tuning
- Speech Recognition & Text-to-Speech

4️⃣ Generative AI & AI Applications
- Diffusion Models (Stable Diffusion, DALL·E)
- AI for Image & Video Generation
- AI-powered Chatbots & Assistants

5️⃣ Data Engineering & Model Deployment
- Data Collection, Cleaning, and Preprocessing
- Model Deployment (Flask, FastAPI, TensorFlow Serving)
- Cloud AI Services (AWS SageMaker, Google Vertex AI)

6️⃣ AI Ethics & Responsible AI
- Bias & Fairness in AI
- Explainable AI (XAI)
- AI Regulations & Compliance

7️⃣ Edge AI & Hardware Acceleration
- AI on Edge Devices (NVIDIA Jetson, Raspberry Pi)
- GPUs & TPUs for AI Acceleration
- On-Device AI Models

8️⃣ AI Trends in 2025
- Multimodal AI (Text, Image, Audio Combined)
- AI Agents & Autonomous Systems
- AI-driven Code Generation & Automation
- OpenAI, Meta, Google AI Advancements

10 months ago | [YT] | 0