Astralinx Industry Training Course

Building a Brain in 10 Minutes
A beginner-friendly dive into how neural networks actually learn.
Course Detail | NVIDIA

 Augment Your LLM with Retrieval-Augmented Generation (RAG)
Understand how to enhance large language models using retrieval for smarter, grounded outputs.
Course Detail | NVIDIA

Accelerate Data Science Workflows with Zero Code Changes
Discover how to scale and accelerate data science pipelines using GPUs—without touching your code.
Course Detail | NVIDIA

Building RAG Agents with LLMs
Learn how to design and deploy RAG-powered agents with LLMs, including retrieval and dialogue management.
Course Detail | NVIDIA

AWS: Foundations of Prompt Engineering

AWS Skill Builder

OpenAI: Prompting for Developers

Build tools using GPT APIs, function calls, and prompts

ChatGPT Prompt Engineering for Developers – DeepLearning.AI

DeepLearning.ai: Context Engineering and MCP

Add memory, examples, and search to your prompts

MCP: Build Rich-Context AI Apps with Anthropic – DeepLearning.AI

FastAI: Practical Deep Learning for Coders

Practical Deep Learning for Coders – Practical Deep Learning

GenAI Literacy & Prototyping Learn GenAI basics and start building prototypes.

Generative AI: Online Courses, Training and Tutorials | LinkedIn Learning

DeepLearning.ai + Cohere: RAG for Developers Ground your LLMs in external data with vector search.

Retrieval Augmented Generation (RAG) | Coursera

FastAI: Practical Deep Learning for Coders Train & deploy AI models using PyTorch + FastAI.

https://course.fast.ai/

LangChain: LLM Orchestration Frameworks Use LangChain to connect tools, memory & APIs.

https://www.langchain.com/

Google Cloud: LLM Deployment (LLMOps) Fine-tune & deploy LLMs with Google Cloud tools.

LLMOps – DeepLearning.AI

Python Programming Foundations

Harvard CS50’s Python Programming Course :

CS50’s Introduction to Programming with Python | Harvard University
→ Build unshakeable coding fundamentals
→ 6-8 weeks to Python mastery

Machine Learning Foundations
Stanford CS229: Machine Learning :

(2) Stanford CS229: Machine Learning Full Course taught by Andrew Ng | Autumn 2018 – YouTube
→ Learn from the legends at Stanford
→ Master ML algorithms and math foundations
→ 10-12 weeks of pure gold

Deep Learning Mastery
Fast.ai Practical Deep Learning

  https://course.fast.ai/
→ Jeremy Howard’s legendary course
→ Build real AI applications from day 1
→ 8-10 weeks of hands-on projects

Natural Language Processing
Stanford CS224N/Ling284 :

(2) Stanford CS224N: Natural Language Processing with Deep Learning | 2023 – YouTube
→ Master transformers and language models
→ The foundation of ChatGPT and GPT-4
→ 10-12 weeks of cutting-edge NLP

Generative AI Introduction
Microsoft Generative AI for Beginners

Generative AI for Beginners
→ 21 Lessons teaching everything you need to know to start building Generative AI applications
→ 6-8 weeks of creative AI

Large Language Models
LLM University by Cohere :

 https://cohere.com/llmu
→ Fine-tune and deploy production LLMs
→ Build and deploy LLM models
→ 6-8 weeks of enterprise-level skills