4.13 GB | 00:13:33 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
01 course-introduction.mp4 (10.69 MB)
03 generative-ai-models.mp4 (9.6 MB)
04 foundation-models.mp4 (10.08 MB)
01 project-overview-image-captioning-with-generative-ai.mp4 (8.26 MB)
02 hugging-face.mp4 (8.46 MB)
01 project-overview-create-your-own-chatgpt-like-website.mp4 (9.93 MB)
01 project-overview-create-a-voice-assistant.mp4 (9.79 MB)
02 introduction-to-docker.mp4 (7.13 MB)
01 project-overview-generative-ai-powered-meeting-assistant.mp4 (8.56 MB)
02 ibm-watsonx-ai.mp4 (9.93 MB)
02 introduction-to-langchain.mp4 (11.11 MB)
03 enhancing-llm-accuracy-with-rag.mp4 (30.24 MB)
01 introduction-to-project-build-an-ai-career-coach.mp4 (10.75 MB)
01 course-introduction.mp4 (4.45 MB)
02 understanding-the-data.mp4 (4.24 MB)
03 python-packages-for-data-science.mp4 (3.2 MB)
04 importing-and-exporting-data-in-python.mp4 (6.26 MB)
05 getting-started-analyzing-data-in-python.mp4 (13.31 MB)
06 accessing-databases-with-python.mp4 (5.03 MB)
01 pre-processing-data-in-python.mp4 (3.06 MB)
02 dealing-with-missing-values-in-python.mp4 (7.83 MB)
03 data-formatting-in-python.mp4 (4.8 MB)
04 data-normalization-in-python.mp4 (4.89 MB)
05 binning-in-python.mp4 (2.59 MB)
06 turning-categorical-variables-into-quantitative-variables-in-python.mp4 (2.84 MB)
01 exploratory-data-analysis.mp4 (1.96 MB)
02 descriptive-statistics.mp4 (6.3 MB)
03 groupby-in-python.mp4 (4.75 MB)
04 correlation.mp4 (3.66 MB)
05 correlation-statistics.mp4 (3.62 MB)
01 model-development.mp4 (2.79 MB)
02 linear-regression-and-multiple-linear-regression.mp4 (8.95 MB)
03 model-evaluation-using-visualization.mp4 (6.38 MB)
04 polynomial-regression-and-pipelines.mp4 (11.59 MB)
05 measures-for-in-sample-evaluation.mp4 (5.55 MB)
06 prediction-and-decision-making.mp4 (6.98 MB)
01 model-evaluation-and-refinement.mp4 (9.95 MB)
02 overfitting-underfitting-and-model-selection.mp4 (5.78 MB)
03 ridge-regression.mp4 (5.54 MB)
04 grid-search.mp4 (6.6 MB)
01 course-introduction.mp4 (8.54 MB)
01 rag.mp4 (19.34 MB)
02 rag-encoders-and-faiss.mp4 (34.27 MB)
01 introduction-to-langchain.mp4 (10.69 MB)
02 introduction-to-in-context-learning.mp4 (16.69 MB)
03 advanced-methods-of-prompt-engineering.mp4 (16.98 MB)
04 langchain-core-concepts.mp4 (19.81 MB)
05 langchain-documents-for-building-rag-applications.mp4 (11.49 MB)
06 langchain-chains-and-agents-for-building-applications.mp4 (17.69 MB)
01 course-introduction.mp4 (6.02 MB)
01 converting-words-to-features.mp4 (13.84 MB)
04 training-the-model-in-pytorch.mp4 (7.23 MB)
01 language-modeling-with-n-grams.mp4 (16.89 MB)
02 n-grams-as-neural-networks-with-pytorch.mp4 (11.08 MB)
01 course-introduction.mp4 (12.32 MB)
01 basics-of-instruction-tuning.mp4 (28 MB)
02 instruction-tuning-with-hugging-face.mp4 (21.85 MB)
03 reward-modeling-response-evaluation.mp4 (11.48 MB)
04 reward-model-training.mp4 (19.72 MB)
05 reward-modeling-with-hugging-face.mp4 (25.75 MB)
01 large-language-models-llms-as-distributions.mp4 (34.32 MB)
02 from-distributions-to-policies.mp4 (19.37 MB)
03 reinforcement-learning-from-human-feedback-rlhf.mp4 (35.67 MB)
04 proximal-policy-optimization-ppo.mp4 (21.58 MB)
05 ppo-with-hugging-face.mp4 (20.17 MB)
06 ppo-trainer.mp4 (31.73 MB)
01 dpo-partition-function.mp4 (25.09 MB)
02 dpo-optimal-solution.mp4 (18.32 MB)
03 from-optimal-policy-to-dpo.mp4 (31.55 MB)
04 dpo-with-hugging-face.mp4 (25.04 MB)
01 course-introduction.mp4 (8.74 MB)
01 hugging-face-vs-pytorch.mp4 (14.48 MB)
02 using-pre-trained-transformers-and-fine-tuning.mp4 (22.98 MB)
03 fine-tuning-with-pytorch.mp4 (27.7 MB)
04 fine-tuning-with-hugging-face.mp4 (16.89 MB)
01 video-introduction-to-peft.mp4 (24.78 MB)
02 low-rank-adaptation-lora.mp4 (17.34 MB)
03 lora-with-hugging-face-and-pytorch.mp4 (24.78 MB)
04 from-quantization-to-qlora.mp4 (18.4 MB)
01 course-introduction.mp4 (8.12 MB)
02 why-learn-generative-ai-with-ibm.mp4 (19.35 MB)
04 generative-ai-fundamentals-specialization-introduction.mp4 (11.46 MB)
01 introduction-to-generative-ai.mp4 (16.2 MB)
03 capabilities-of-generative-ai.mp4 (18.85 MB)
01 applications-of-generative-ai.mp4 (19.68 MB)
02 tools-for-text-generation.mp4 (16.4 MB)
03 tools-for-image-generation.mp4 (12.71 MB)
04 tools-for-audio-and-video-generation.mp4 (14.48 MB)
05 tools-for-code-generation.mp4 (17.53 MB)
01 course-introduction.mp4 (6.42 MB)
01 language-modeling-with-the-decoders-and-gpt-like-models.mp4 (14.6 MB)
02 training-decoder-models.mp4 (15.26 MB)
03 decoder-models-pytorch-implementation-causal-lm.mp4 (19.44 MB)
04 decoder-models-pytorch-implementation-using-training-and-inference.mp4 (13.52 MB)
01 encoder-models-with-bert-pretraining-using-mlm.mp4 (12.94 MB)
02 encoder-models-with-bert-pretraining-using-nsp.mp4 (14.02 MB)
03 data-preparation-for-bert-with-pytorch.mp4 (30.82 MB)
04 pretraining-bert-models-with-pytorch.mp4 (30.59 MB)
01 overview-of-ai-engineering-with-llms.mp4 (22.37 MB)
02 course-introduction.mp4 (4.73 MB)
01 significance-of-generative-ai.mp4 (7.8 MB)
02 generative-ai-architectures-and-models.mp4 (8.79 MB)
03 generative-ai-for-nlp.mp4 (10.56 MB)
01 tokenization.mp4 (11.54 MB)
02 overview-of-data-loaders.mp4 (10.65 MB)
01 course-introduction.mp4 (4.73 MB)
01 what-is-a-prompt.mp4 (8.34 MB)
02 what-is-prompt-engineering.mp4 (9.68 MB)
03 best-practices-for-prompt-creation.mp4 (8.12 MB)
04 common-prompt-engineering-tools.mp4 (9.49 MB)
01 text-to-text-prompt-techniques.mp4 (10 MB)
02 interview-pattern-approach.mp4 (4.21 MB)
03 chain-of-thought-approach.mp4 (4.48 MB)
04 tree-of-thought-approach.mp4 (4.4 MB)
01 text-to-image-prompt-techniques.mp4 (10.59 MB)
01 course-introduction.mp4 (16.78 MB)
01 introducing-ai.mp4 (20.38 MB)
02 artificial-intelligence-vs-augmented-intelligence.mp4 (37.21 MB)
03 introducing-generative-ai-and-its-use-cases.mp4 (13.33 MB)
04 the-evolution-of-ai-traditional-ai-vs-generative-ai.mp4 (48.93 MB)
05 artificial-intelligence-are-we-there-yet.mp4 (80.58 MB)
01 ai-in-daily-life.mp4 (17.87 MB)
02 ai-chatbots-and-smart-assistants.mp4 (17.64 MB)
03 what-is-a-chatbot.mp4 (63.02 MB)
04 applications-of-ai-in-different-industries.mp4 (18.15 MB)
05 generative-ai-tools-and-applications.mp4 (22.98 MB)
06 ten-everyday-ai-and-machine-learning-use-cases.mp4 (49.43 MB)
01 cognitive-computing.mp4 (17.69 MB)
02 terminologies-and-related-concepts-of-ai.mp4 (13.99 MB)
03 machine-learning.mp4 (15.71 MB)
04 machine-learning-techniques-and-training.mp4 (16.79 MB)
05 deep-learning.mp4 (8.22 MB)
06 neural-networks.mp4 (14.53 MB)
07 machine-learning-vs-deep-learning.mp4 (48.81 MB)
08 generative-ai-models.mp4 (20.07 MB)
09 large-language-models.mp4 (77.3 MB)
10 machine-learning-vs-deep-learning-vs-foundation-models.mp4 (66.14 MB)
01 natural-language-processing-speech-and-computer-vision.mp4 (22.62 MB)
02 what-is-nlp-natural-language-processing.mp4 (68.2 MB)
03 self-driving-cars.mp4 (43.93 MB)
04 ai-and-cloud-computing-edge-computing-and-iot.mp4 (20.13 MB)
01 ai-agents.mp4 (22.32 MB)
02 what-are-ai-agents.mp4 (101.55 MB)
03 robotics-and-automation.mp4 (24.67 MB)
01 transforming-businesses-through-ai.mp4 (15.82 MB)
02 the-rise-of-generative-ai-for-business.mp4 (32.3 MB)
03 become-a-value-creator-with-generative-ai.mp4 (177.16 MB)
04 what-is-retrieval-augmented-generation-rag.mp4 (54.85 MB)
05 adopting-ai-in-your-business.mp4 (21.37 MB)
06 frameworks-for-ai-adoption.mp4 (20.1 MB)
01 transforming-your-work-through-ai-tools.mp4 (22.28 MB)
02 career-opportunities-with-ai.mp4 (21.25 MB)
03 humans-vs-ai-who-should-make-the-decision.mp4 (62.22 MB)
01 ethical-considerations-and-responsible-use-of-ai.mp4 (20.25 MB)
02 considerations-around-generative-ai.mp4 (24.7 MB)
03 why-large-language-models-hallucinate.mp4 (159.13 MB)
04 perspective-of-key-players-around-ai-ethics.mp4 (24.6 MB)
05 the-importance-of-ai-governance.mp4 (49.97 MB)
06 how-to-implement-ai-ethics.mp4 (60.15 MB)
01 course-wrap-up.mp4 (13.27 MB)
01 welcome.mp4 (3.87 MB)
01 introduction-to-deep-learning.mp4 (6.36 MB)
01 neurons-and-neural-networks.mp4 (5.06 MB)
02 artificial-neural-networks.mp4 (7.07 MB)
01 gradient-descent.mp4 (7.19 MB)
02 backpropagation.mp4 (12.54 MB)
03 vanishing-gradient.mp4 (2.58 MB)
04 activation-functions.mp4 (6.67 MB)
01 deep-learning-libraries.mp4 (5.05 MB)
01 regression-models-with-keras.mp4 (24.57 MB)
01 classification-models-with-keras.mp4 (8.09 MB)
01 shallow-versus-deep-neural-networks.mp4 (4.25 MB)
01 convolutional-neural-networks.mp4 (8.36 MB)
02 recurrent-neural-networks.mp4 (3.68 MB)
01 autoencoders.mp4 (3.88 MB)
01 summary.mp4 (2.21 MB)
01 course-introduction.mp4 (8.4 MB)
01 welcome.mp4 (6.92 MB)
02 introduction-to-machine-learning.mp4 (14.02 MB)
03 python-for-machine-learning.mp4 (15.62 MB)
04 supervised-vs-unsupervised.mp4 (9.53 MB)
01 introduction-to-regression.mp4 (6.99 MB)
02 simple-linear-regression.mp4 (18.41 MB)
03 model-evaluation-in-regression-models.mp4 (13.18 MB)
04 evaluation-metrics-in-regression-models.mp4 (5.06 MB)
06 multiple-linear-regression.mp4 (19.87 MB)
01 introduction-to-classification.mp4 (6.27 MB)
02 k-nearest-neighbours.mp4 (13.4 MB)
03 evaluation-metrics-in-classification.mp4 (16.29 MB)
01 introduction-to-decision-trees.mp4 (6.04 MB)
02 building-decision-trees.mp4 (17.78 MB)
01 intro-to-logistic-regression.mp4 (11.87 MB)
02 logistic-regression-vs-linear-regression.mp4 (38.37 MB)
03 logistic-regression-training.mp4 (20.91 MB)
01 support-vector-machine.mp4 (12.6 MB)
01 intro-to-clustering.mp4 (12.48 MB)
02 intro-to-k-means.mp4 (14.77 MB)
03 more-on-k-means.mp4 (5.4 MB)
01 course-introduction.mp4 (10.4 MB)
01 load-your-document-from-different-sources.mp4 (28.47 MB)
01 strategies-for-splitting-text-for-optimal-processing.mp4 (19.39 MB)
01 introduction-to-vector-databases-for-storing-embeddings.mp4 (12.02 MB)
01 explore-advanced-retrievers-in-langchain-part-1.mp4 (7.27 MB)
02 explore-advanced-retrievers-in-langchain-part-2.mp4 (24.19 MB)
01 getting-started-with-gradio.mp4 (11.02 MB)
01 course-introduction.mp4 (8.2 MB)
01 introduction-to-python.mp4 (6.4 MB)
03 getting-started-with-jupyter.mp4 (5.78 MB)
01 types.mp4 (3.58 MB)
01 expressions-and-variables.mp4 (4.76 MB)
01 string-operations.mp4 (9.73 MB)
01 lists-and-tuples.mp4 (11.15 MB)
01 dictionaries.mp4 (3.52 MB)
01 sets.mp4 (10.37 MB)
01 conditions-and-branching.mp4 (16.9 MB)
01 loops.mp4 (11.81 MB)
01 functions.mp4 (25.59 MB)
01 exception-handling.mp4 (4.92 MB)
01 objects-and-classes.mp4 (14.99 MB)
01 reading-files-with-open.mp4 (7.51 MB)
02 writing-files-with-open.mp4 (3.93 MB)
01 pandas-loading-data.mp4 (11.78 MB)
02 pandas-working-with-and-saving-data.mp4 (4.93 MB)
01 one-dimensional-numpy.mp4 (13.44 MB)
02 two-dimensional-numpy.mp4 (12.03 MB)
01 application-program-interface.mp4 (10.51 MB)
01 rest-apis-http-requests-part-1.mp4 (5.4 MB)
02 rest-apis-http-requests-part-2.mp4 (6.91 MB)
03 optional-html-for-web-scraping.mp4 (7.29 MB)
04 optional-web-scraping.mp4 (6.93 MB)
05 working-with-different-file-formats.mp4 (5.58 MB)
01 introduction-to-the-course.mp4 (3.73 MB)
01 application-development-lifecycle.mp4 (7.94 MB)
03 demo-working-with-an-ide.mp4 (8.2 MB)
05 unit-testing.mp4 (9.21 MB)
06 packaging.mp4 (30.55 MB)
01 python-libraries-and-frameworks-for-application-development.mp4 (5.36 MB)
02 introduction-to-flask.mp4 (9.36 MB)
03 flask-basic-applications-and-routes.mp4 (15.53 MB)
04 request-and-response-objects-using-get-and-post-modes.mp4 (11.9 MB)
05 dynamic-routes.mp4 (5.86 MB)
06 error-handling.mp4 (13.42 MB)
07 deploying-web-apps-using-flask.mp4 (11.69 MB)]
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