01:08:19

How To Read AI Research Papers Effectively

59:53

Building Production-Grade LLM Apps

01:00:37

Turbocharge Your RAG Applications with Powerful RAG Analytics

58:07

Aligning LLMs with Direct Preference Optimization

01:00:18

Prompt-Engineering for Open-Source LLMs

52:21

Navigating LLM Threats: Detecting Prompt Injections and Jailbreaks

01:00:56

LLM Agent Fine-Tuning: Enhancing Task Automation with Weights & Biases

01:02:12

How to Build, Evaluate, and Iterate on LLM Agents

01:01:12

Building Multi-Modal Search with Vector Databases

01:00:40

Mitigating LLM Hallucinations with a Metrics-First Evaluation Framework

01:00:29

AI for Good: A discussion on addressing real-world problems with AI

59:53

Efficient Fine-Tuning for Llama-v2-7b on a Single GPU

59:11

Deep Dive into LLM Evaluation with Weights & Biases

01:01:01

Mastering RLHF with AWS: A Hands-on Workshop on Reinforcement Learning from Human Feedback

59:35

Building with Instruction-Tuned LLMs: A Step-by-Step Guide

32:04

Yann LeCun and Andrew Ng: Why the 6-month AI Pause is a Bad Idea

01:06:05

Building Machine Learning Apps with Hugging Face: LLMs to Diffusion Modeling

01:03:07

Practical Data Science on AWS: Generative AI

01:00:06

FastAPI for Machine Learning: Live coding an ML web application.

01:02:00

Landing a Job in AI: Hiring Secrets from Technical Recruiters

01:09:19

How to Build a Real-World AI Project Portfolio

01:00:42

Branching out of the Notebook: ML Application Development with GitHub

58:50

Founding an AI Startup: Dos & Don'ts of Building a Company

58:13

Beyond Jupyter Notebooks: MLOps Environment Setup & First Deployment

57:31

The Impact of AI for Social Good

01:30:31

Accelerating Your AI Career

01:11:26

Pathways in Machine Learning/Data Science

01:10:55

Prioritizing AI/ML Projects in Your Organization

01:06:14

How to transition into a career in ML/AI

01:35:00

How to #BeADeepLearner

01:00:26

Step-by-Step Natural Language Processing Workshop: From Data to Deployment

01:06:38

Ask Me Anything about Natural Language Processing (NLP)

01:00:25

Grow Your Career in the Industry as an ML Practitioner

01:34:54

Data-centric AI: Real World Approaches

01:00:26

XAI: Learning Fairness with Interpretable Machine

01:09:56

Machine Learning Engineering for Production (MLOps)

01:00:15

Data Scientist vs. Machine Learning Engineer

01:03:37

AI X Real World

01:06:07

Climbing the Corporate AI Ladder -DeepLearning.AI & FourthBrain

01:04:15

Learner Spotlight: My Journey into AI

01:02:55

AI+X: AI Innovation in Healthcare

01:00:11

A Chat with Andrew on MLOps: From Model-centric to Data-centric AI

01:01:51

[AI Access] Applied Analytics from End-to-End

01:02:40

Expert Panel: Optimizing BizOps with AI

01:04:56

AI Access: Integrating Design and Technical Innovation in AI-First Products

01:34:06

AI + X: Don’t Switch Careers, Add AI

01:25:05

Break into AI: I took an online course, what's next?

48:15

DeepLearning.AI NLP Learner Community ft.Rishit Dholakia

01:03:10

Landing an ML Job- secrets from technical recruiters

01:28:44

GANs for Good- A Virtual Expert Panel by DeepLearning.AI

41:35

DeepLearning.AI NLP Learner Community Event ft. Sachin Wani

53:25

DeepLearning.AI NLP Learner Community Event ft. Mo Rebaie

01:33:46

Break into NLP hosted by deeplearning.ai

47:25

DeepLearning.AI NLP Learner Community Event ft. Nikesh Bajaj

41:45

DeepLearning.AI NLP Learner Community Event ft.Valeri Voev

30:51

DeepLearning.AI NLP Learner Community Event ft. Luis Alaniz

41:50

DeepLearning.AI Learner Community Event ft. Neelesh Kamkolkar

40:40

DeepLearning.AI Learner Community Event ft. Ignacio Martinez

49:40

deeplearning.ai Learner Community Event ft. Roger Smith

42:21

DeepLearning.AI Learner Community Event ft. Jan Jitse Venselaar