AI Engineer Roadmap | How I'd Learn AI in 2025
144,113 views 5 months ago
With the ongoing AI boom, one career role that has gained a lot of demand is AI engineer or ML engineer. In this video, we will look at the complete roadmap to learn skills required for the AI engineer role in 2025 using free learning resources, week-by-week studyplan and checklists. This video also shows how I'd learn AI if I had to start over. Roadmap PDF: https://codebasics.io/resources/ai-en... Codebasics AI bootcamp: https://codebasics.io/bootcamps/ai-da... ⭐️ Timestamps ⭐️ 0:00 Introduction 3:47 Computer Science Fundamentals (Khan Academy course) 6:23 Beginners Python 10:39 Data structures and algorithms 13:26 Advanced Python 20:08 Version control system 22:40 Databases: Relational DB and SQL 25:34 Databases: NoSQL DB 27:37 Pandas, Numpy, Visualization 28:20 Math & statistics for AI 30:00 EDA 30:58 Machine Learning 33:26 MLOps 33:59 ML Projects 40:58 Deep Learning 45:19 NLP or Computer Vision 46:00 Gen AI & Projects Do you want to learn technology from me? Check https://codebasics.io/?utm_source=des... for my affordable video courses. Need help building software or data analytics/AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website. 🎥 Codebasics Hindi channel: https://www.youtube.com/channel/UCTmF... #️⃣ Social Media #️⃣ 🧑‍🤝‍🧑 Discord for Community Support: https://discord.gg/r42Kbuk 📸 Codebasics' Instagram: https://www.instagram.com/codebasicshub/ 📝 Codebasics' Linkedin : https://www.linkedin.com/company/code... ------ 📝 Dhaval's Linkedin : https://www.linkedin.com/in/dhavalsays/ 📝 Hem's Linkedin: https://www.linkedin.com/in/hemvad/ 📽️ Hem's Instagram for daily tips: https://www.instagram.com/hemvadivel/ 📸 Dhaval's Personal Instagram: https://www.instagram.com/dhavalsays/ 🔗 Patreon: https://www.patreon.com/codebasics?fa...
List of videos that contains valuable material on resume and interview guidance. This playlist is for those who are looking for a job and data or IT industry as a data analyst, data scientist, data engineer or software engineer
Career Transition Stories of folks who moved from non tech domain to data industry. It also covers stories with career breaks.

Shorts

codebasics
• 14 hours ago
I came across this MIT report that reveals that 95% of GenAI projects are failing in companies. Here are top 3 reasons, Poor integration – AI tools don’t fit into existing workflows or culture, so they bring little real impact. In-house struggles – Building from scratch fails more often, while specialized vendor solutions see far better success. Lack of focus – Companies spread themselves too thin instead of solving one clear, high-value problem. In highly regulated industries such as finance, companies are not ready to use pre-built products and they try to build gen ai solutions on their own. These projects are likely to not generate a good ROI. The takeaway? Success with GenAI isn’t about chasing hype—it’s about smart focus, integration, and the right partnerships. What do you think is the biggest barrier to successful AI adoption in companies today?
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codebasics
• 2 days ago
We keep chasing our butterflies (success). But... never really catch them. Today it’s a job. Tomorrow it’s a better job. Then a car. More money. A bigger house. And it goes on… endlessly. I realized this after many years Butterflies can never be caught. It can only be attracted to the garden The garden is the character you build! Butterflies fly away, Garden stays! This is one of the deepest sayings I’ve ever come across. Every time I reflect on it, I find a new meaning. What does it mean to you? #codebasics
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codebasics
• 7 days ago
When you buy a car you look for Comfort, Safety, Fuel Efficiency, etc. The same goes for evaluating Machine Learning models. Based on a situation, you can use one or a combination of metrics such as Accuracy, Precision, Recall, F1-Score, etc. ➡️ Accuracy: Great for balanced datasets. But beware—if your data is highly imbalanced (e.g., 95% one class, e.g. credit card fraud detection), accuracy can be misleading. ➡️Precision: It is about minimizing false positives (good for spam detection). ➡️Recall: Focuses on catching all positives (ideal for medical diagnoses, where missing a case is costly). ➡️ F1 Score: The harmonic mean of precision and recall—balances false positives and false negatives. It’s handy when you need a balance between precision and recall. ➡️ROC-AUC Score: Measures how well your model distinguishes between classes. The closer to 1, the better! If you care about ranking predictions or have an imbalanced dataset, this is a great go-to. ➡️Mean Squared Error (MSE) & Mean Absolute Error (MAE): If you’re working on regression problems, these are your best friends! MSE penalizes larger errors more, while MAE treats all errors equally. ➡️ R² Score: Often used in regression to determine how well the model explains the variance in the data. A higher R² means a better fit, but watch out for overfitting! Selecting the right metric is an ART as well as SCIENCE and there is no one-size-fits-all answer. What is your view on model evaluation metrics?
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codebasics
• 9 days ago
Online courses are like mangoes. Imagine a mango tree. It takes time to provide tasty mangoes. But demand is high, so everyone is planting one. Some just care about producing more mangoes. Not healthy, not tasty - still gives you something. Some care about the people tasting it. Takes time but it's healthy & tasty. Some don't know anything about mangoes. They sell fakes by advertising it as "Magical Mango". Would you buy mangoes randomly? No, I presume. You'd either take recommendation from trusted people or get free samples and taste it yourself first. If you can do that for mangoes Why not for an online course? It's not just about money. It's your Time, Aspirations & Emotions. Think, research & act. --- How do you select an online course? 👇🏽 #codebasics
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codebasics
• 13 days ago
Folks, a quick update on my health. After two months of constant bleeding, I’m finally feeling better. The bleeding has stopped over the past few days, and my colitis flare is calming down 😊. These last two months have been an intense, bumpy ride—filled with pain, sleepless nights, the strange side effects of steroids, weight loss, and the agony of an uncertain future. Now, at last, I’m breathing the air of freedom. It may take a few more days or weeks to fully recover, as I still struggle with low energy, but I’m deeply grateful that the major symptoms are under control. During this health battle, I often reflected on what true freedom really means. While living in a free country is indeed a blessing, true freedom is the freedom from inner fear and boundless desires—the realization that I am not merely this body, and that I am stronger than any situation I’m currently going through. If you’re facing any struggle right now, I hope you hold onto this faith and recognize the power within you. Wishing you all independence from your inner enemies. Happy Independence Day 🫡
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codebasics
• 2 weeks ago
Degree vs Online Credibility
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