Black Americans — Top TV Series of All Time
The Wire
Atlanta
Snowfall
Power
Power Book II: Ghost
Empire
Insecure
When They See Us
Roots
The Chi
BMF (Black Mafia Family)
Dear White People
Luke Cage
Top Boy (strong Black diaspora impact in the U.S.)
Greenleaf
Everybody Hates Chris
Living Single
The Fresh Prince of Bel-Air
A Black Lady Sketch Show
Lovecraft Country
Most people want to become an AI Engineer.
Very few know what to learn... and in what order.
Here’s a roadmap that takes you from beginner → production-ready AI Engineer 👇
1️⃣ Master the foundations
• Python programming
• Data structures & algorithms
• Linear algebra
• Probability & statistics
• SQL basics
Without this, everything else becomes harder.
2️⃣ Learn data engineering
• Data collection
• Cleaning & preprocessing
• EDA
• Feature engineering
• Data visualization
AI is only as good as the data behind it.
3️⃣ Understand machine learning
• Supervised learning
• Unsupervised learning
• Model evaluation
• Cross-validation
• Scikit-learn
Learn how models actually make decisions.
4️⃣ Dive into deep learning
• Neural networks
• Backpropagation
• Activation functions
• PyTorch / TensorFlow
This is where modern AI starts.
5️⃣ Learn NLP
• Tokenization
• Embeddings
• Transformers
• Fine-tuning
The foundation of ChatGPT, Claude, and Gemini.
6️⃣ Explore computer vision
• CNNs
• Object detection
• Image segmentation
• OpenCV
Teach machines to understand images.
7️⃣ Master GenAI & LLMs
• Prompt engineering
• RAG
• Fine-tuning
• Vector databases
• LangChain & LlamaIndex
This is the highest-leverage skill stack today.
8️⃣ Learn MLOps
• FastAPI
• Docker
• CI/CD
• Monitoring
• MLflow
Because models are useless if they can't be deployed.
9️⃣ Study AI system design
• Scaling strategies
• Real-time inference
• Caching
• Cost optimization
The difference between demos and production systems.
🔟 Stay ahead
• Agentic AI
• Multimodal models
• AutoML
• AI safety
• Latest research
The field changes every week.
💡 Reality check:
Most people spend months consuming AI content.
The top 1% spend that time building projects.
Build. Deploy. Iterate. Repeat.
📌 Save this roadmap
🔁 Repost for aspiring AI engineers
➕ Follow @TehminaDEX practical AI breakdowns & learning resources 🚀
100 days until our Spatial Data Science MOOC kicks off! 📊
Explore how to uncover patterns, build models, and turn analysis into clear, compelling stories with ArcGIS.
➡️ The course opens Sept. 23.
Save your spot:https://t.co/ohz4yJNFjA
University of Michigan is offering FREE courses 🔥
💻 Computer Science
🤖 Artificial Intelligence
🐍 Python
☁️ Cloud Computing
🔐 Cybersecurity
📊 Data Science
🗄️ SQL & Databases
Here are 7 FREE courses to become skilled in 2026:
Open this thread get started today 🧵👇
Just found the ultimate GitHub repo to master AI agents 👇
Not theory—real, production-grade workflows:
- Research & content agents
- Lead qualification
- Social media automation
- Video generation
- Custom MCP servers + REST APIs
Step-by-step, fully working setups. Build your own AI systems with confidence.
Repo: https://t.co/RVBve3Ld0u
141 illegal football streaming sites infringing copyright material will be blocked as they have content owned by Dstv(Multichoice), court has ordered.
The only place to watch the Premier League, Serie A, La Liga, UCL, Man United’s Europa League, UECL, F1, Rugby, Tennis is Dstv.
HOW TO MAKE A MAP LIKE THIS ONE IN QGIS:
1. Download the SRTM 1 Arc-Second Global data for your region of interest from the USGS Earth Explorer website (https://t.co/NC9hoY5NjI).
2. Build a virtual raster in QGIS if you have several tiles.