Beginnerকোর্স · বিনামূল্যে
এআই ফাউন্ডেশন
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
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ফলাফল
আপনি যা করতে সক্ষম হবেন
- Explain training and inference in plain language.
- Separate demonstrated capability from marketing claims.
- Evaluate AI outputs using evidence, uncertainty, and fit-for-purpose tests.
Prerequisites:None.
পাঠ্যক্রম
কোর্স মডিউল
What AI is
ফলাফল: Distinguish AI, machine learning, and ordinary software.
অনুশীলন: Classify five everyday systems and explain which definition of AI you used.
AI concepts and boundariesHow systems learn
ফলাফল: Describe the role of examples, objectives, and generalization.
অনুশীলন: Diagnose why a model can perform well in testing but fail for a new population.
Data, training, and generalizationModels and inference
ফলাফল: Explain what happens when a trained model produces an output.
অনুশীলন: Trace one user request from input through model output and human review.
Models, inference, and limitationsEvidence and uncertainty
ফলাফল: Check claims, benchmarks, and confident-sounding outputs.
অনুশীলন: Create a claim ledger for one AI product announcement.
Evaluation and benchmark literacyঅনিশ্চয়তা এবং আত্মবিশ্বাস ক্রমাঙ্কনউৎস এবং দাবি যাচাইকরণ
প্রয়োগ করা ক্যাপস্টোন
AI claim fact check
Choose one public AI claim and produce a one-page evidence review for a nontechnical reader.
- Original claim and source
- Two supporting or contradicting sources
- Known limitations
- Plain-language conclusion with confidence