STOP WASTING HOURS TRYING TO FIGURE OUT WHAT TO LEARN IN AI.
I put together one practical roadmap with videos, GitHub repos, guides, books, research papers, and courses.
VIDEOS:
1. LLM Introduction — https://t.co/6UfUcjMnLz
2. LLMs from Scratch — https://t.co/uFE6V6qfDc
3. Agentic AI Overview (Stanford) — https://t.co/zCYeoZr80b
4. Building & Evaluating Agents — https://t.co/90Tsz6VXfs
5. Building Effective Agents — https://t.co/VNjQVwNbTF
6. Building Agents with MCP — https://t.co/EWQBZDaerU
7. Building an Agent from Scratch — https://t.co/IhsxsG4PLF
8. Philo Agents — https://t.co/Ni3EqflKXX
GITHUB REPOS:
1. GenAI Agents — https://t.co/8Rf5V00nc3
2. Microsoft AI Agents for Beginners — https://t.co/wykYg3uID1
3. Prompt Engineering Guide — https://t.co/LJ5I8kvjmH
4. Hands-On Large Language Models — https://t.co/cKYH5bYNpo
5. GenAI Agents — https://t.co/i8UvZEluvU
6. Made with ML — https://t.co/ItPjjmeX7a
7. Hands-On AI Engineering — https://t.co/rb4LyE2yiu
8. Awesome Generative AI Guide — https://t.co/sOvPOy4I4p
9. Designing Machine Learning Systems — https://t.co/NT2i32i1QT
10. Machine Learning for Beginners — https://t.co/1WsbMfbTFq
11. LLM Course — https://t.co/wfyLz8WClB
GUIDES:
1. Google's Agent Whitepaper — https://t.co/YvvSby2Fz1
2. Google's Agent Companion — https://t.co/7Re1Vj2DZ5
3. Building Effective Agents by Anthropic — https://t.co/hbklxrplI9
4. Claude Code Agentic Coding Practices — https://t.co/0JgQUEqJuh
5. OpenAI's Practical Guide to Building Agents — https://t.co/Z3skx6pez3
BOOKS:
1. Understanding Deep Learning — https://t.co/sxxFC5wH5H
2. Building an LLM from Scratch — https://t.co/UZZngciFnh
3. The LLM Engineering Handbook — https://t.co/mAUwbj3570
4. AI Agents: The Definitive Guide — https://t.co/tuLxujMNYt
5. Building Applications with AI Agents — https://t.co/BNpMacbGET
6. AI Agents with MCP — https://t.co/cdsng3fryS
7. AI Engineering — https://t.co/gOh0Xb0Y5X
RESEARCH PAPERS:
1. ReAct — https://t.co/XWig6i6KM9
2. Generative Agents — https://t.co/QjDYMDdTf5
3. Toolformer — https://t.co/A4x9Dt147X
4. Chain-of-Thought Prompting — https://t.co/AJqbHcRTXA
COURSES:
1. Hugging Face Agent Course — https://t.co/0mdR5axTEk
2. MCP with Anthropic — https://t.co/6kUWyZzDbl
3. Building Vector Databases with Pinecone — https://t.co/2yHOFCtdUF
4. Vector Databases: Embeddings to Apps — https://t.co/hTNOtJh0tl
5. Agent Memory — https://t.co/WyiOLyqKi7
No endless searching.
No information overload.
Just resources you can actually use. 🔖
Your future AI skillset will come from building, experimenting, and learning consistently.
Repost so someone else can find this roadmap, and pls consider following @amisha_explains for more content around AI, Beauty, and businesses.
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.
AI will transform every industry, power every company, and be built by every country.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.
The world needs both frontier closed models and frontier open models.
https://t.co/AUKzoQ5Ikb
@MatchTalks_@grok look at the image, who is the player that wore the number 10 for Arsenal after Bergkamp and before Van Persie? Draw a similar miniature of him like the others and include it in the space provided, 8 frames for the 8 players. Write his name in a similar fashion as the others
Are you interested in topics around multilingual, multimodal, and culturally grounded LM?
Submit to our workshop co-located with @COLM_conf#COLM2026 , deadline is now now June 30 (AoE)
🌍✨ We’re thrilled to welcome Dr David Adelani @davlanade, Assistant Professor at the @mcgillu McGill University School of Computer Science and Canada CIFAR AI Chair @CIFAR_News, as our invited speaker at this year’s Deep Learning Indaba in Lagos, Nigeria!
Dr Adelani will be delivering a talk on Monday, August 3rd, at 12:00 pm GMT+1 titled: Lessons from the Trenches: Building African-Centric LLMs for African Languages.
An award-winning researcher with over 50 publications, Dr Adelani has led the development of groundbreaking models like AfroXLMR and AfriqueLLM. His work is at the forefront of ensuring that low-resource African languages are prioritised in the global advancement of AI technologies.
Reflecting on the vision for his talk and the spirit of the Indaba community, Dr Adelani shares:
"Ultimately, this talk aims to inspire more African researchers to develop African-centric models tailored to their languages and real-world use cases."
Join us for this essential conversation on the future of African AI!
Registrations for the Virtual Indaba are still open! https://t.co/d74RjD6wC6
#DLI2026 #Indaba2026
Hallelujah!
I’m excited to share that I’ve been selected as a 2025 AI2050 Early Career Fellow by @Schmidtsciences
This year’s fellows represent 42 institutions across eight countries, working to ensure AI benefits humankind.
Learn more at: https://t.co/Kwgcr64v27
Cracking the Forward Deployed
AI Engineer Interview
Roadmap, System Design, Case Studies & Mock Interviews
for FDE Roles in 2026
https://t.co/emig4UcqqH
Best Paper Award at AfricaNLP (@Africa_NLP) 2026
We are proud to share that our research paper, “African Voices Nigeria: 2,500 Hours of Ethically Sourced Speech Data for Four Nigerian Languages”, co-authored by Ife Adebara (@IfeAdebara), Oluwaseun Nifemi (@NifemiOluwaseu2), Olubayo Adekanmbi (@bayoadekanmbi), Rashidat Damilola Sikiru (@o_damilola21), Ololade Anjuwon (@AnjuwonOlolade), Olanrewaju Israel Lawal, Anthony Soronnadi (@tonysoronnadi), John Emeka Eze (@johnemekaeze), and Ewezu Ngim Ngim (@EwezuN46971), has been awarded Best Paper at the 7th Africa NLP Workshop. This event was co-located with the 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL) 2026 in Morocco.
This recognition by the African NLP community celebrates research that is not only rigorous but also rooted in ethical and locally relevant AI solutions. We extend our gratitude to the workshop organisers and the broader African NLP community for this honour.
At Data Science Nigeria (@dsn_ai_network), this recognition reflects a consistent track record of delivering globally competitive research while staying grounded in local relevance. Our work continues to advance the localisation of Artificial Intelligence by building high-quality, ethically sourced datasets and solutions tailored to African contexts. This milestone reinforces our long-term commitment to ensuring AI development in Africa is not only world-class, but also inclusive, representative, and built for the realities of our communities.
Read the full research paper here> https://t.co/0Z9wwAs6LG
#datasciencenigeria #EACL2026 #AfricanVoices #Africanlp
Will be presenting at #LREC2026 🌍
Our half-day tutorial — "Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages" — will walk through how to build LLM systems that see, hear, and read across the languages and dialects that rarely get first-class support.
What we'll cover (14:00–18:00 CET):
• The model landscape — recent VLLMs, AudioPaLM and Omni-models
• Low-cost data creation — translation/back-translation, OCR/ASR bootstraps, safety and culture-aware filtering
• Efficient training — adapters, LoRA/QLoRA, quantization, and MoE routing for modality/language specialization
• Practical speech→text→LLM pipelines — cascaded vs. unified speech–text systems
• Culture-aware evaluation — xGQA, MaRVL, HaVQA, dialectal stress tests, hallucination and grounding diagnostics
• Hands-on recipes, slides, and lab notebooks to take home
Presented by:
🎙 Firoj Alam — Qatar Computing Research Institute, HBKU
🎙 Shammur Absar Chowdhury — Qatar Computing Research Institute, HBKU
🎙 Enamul Hoque Prince — York University
📅 12 May 2026 · 14:00–18:00 CET
🔗 https://t.co/C1ecrdjknS
If you work on multilingual NLP, speech, vision-language models, or inclusive AI — please drop by. We'd love to learn with you.
#LREC2026 #MultimodalAI #MultilingualNLP #LLM #LowResourceLanguages #SpeechAI #VisionLanguage #NLProc #ResponsibleAI
W/
@shammur_absar Enamul Haque
We’re proud to share that our research paper, African Voices Nigeria: 2,500 Hours of Ethically Sourced Speech Data for Four Nigerian Languages, has been accepted at the 7th @Africa_NLP 2026 Workshop — ranking among the top 4 out of 44 submissions.
The workshop is co-located with the 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL) 2026, taking place in Rabat, Morocco from March 25–28, 2026.
At the heart of this work is a simple but critical gap: most existing speech datasets for African languages fail to reflect how people actually speak.
African Voices addresses this by capturing over 2,500 hours of ethically sourced, real-world speech from native speakers going beyond scripted recordings to represent authentic conversations use across key domain areas.
What this means in practice is better data for building speech recognition systems that are not only more accurate, but also more inclusive and representative of African realities.
@Africa_NLP remains a key convening point for researchers advancing natural language processing for African languages, corpora development, and context-specific AI applications. Being recognized in this space reinforces the growing importance of grounded, locally driven research.
At Data Science Nigeria (@dsn_ai_network), this milestone reflects our broader commitment: advancing research that is deeply rooted in African contexts, expands access, and powers solutions that work for our people.
#DataScienceNigeria #AfricaNLP2026 #AIforGood #AfricanLanguages #ResponsibleAI #EACL2026
@johnemekaeze@UAlberta@equalyz_ai
Nothing is stopping you. It's just a mirage, just a mental game.
When you decide that you are going to get to the mark, and you pay the price, hardwork, grit, determination, focus, and the fortitude to grow and get better with every iteration, nothing is beyond your reach!