Generative AI for Success: Crafting Careers with Prompts
Transform Your Career and Brand with the Power of Generative AI & Prompt Engineering. 80+ Advance Prompts.
Development ,Data Science,Machine Learning
Lectures -34
Duration -3.5 hours
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Course Description
Your Path to Mastering Generative AI and Prompt Engineering
Ready to harness the power of Generative AI to elevate your career, enhance your content, and amplify your brand? This course provides hands-on learning from AI fundamentals to advanced prompt engineering techniques, offering a complete roadmap to transform your skills.
Course Curriculum Overview
1. Welcome to the Course!
- Intro to Generative AI: Begin your journey with a comprehensive introduction to Generative AI and understand the key differences between AI and ML.
- Core Concepts: Dive into the fundamentals and components of Gen AI, along with a showcase of AI-powered tools for video editing and animation.
2. Evaluation of AI Models
- Metrics Mastery: Learn how to evaluate AI models using precision, recall, and other vital metrics.
- Quiz: Test your understanding of key evaluation principles.
3. Large Language Models (LLMs)
- Foundations of LLMs: Discover the basics, purpose, and function of LLMs, including concepts like Self-Attention, Encoder-Decoder architecture, and hallucination in AI.
- Evaluating Performance: Understand performance metrics (Perplexity, BLEU, ROUGE) and get hands-on practice with LLM evaluation.
- Quiz: Reinforce your learning of LLMs.
4. Prompt Engineering
- Prompting Techniques: Learn structure-based, purpose-based techniques and advanced methods like Chain of Thoughts, Instruction Tuning, and RAG.
- Specialized Modules:
- Use ChatGPT and Meta AI as performance amplifiers.
- Boost your LinkedIn presence through AI-driven techniques.
- Revolutionize user research with ProdMoh AI.
- Extensive Prompt Library: Access 140+ industry-specific prompts for practical applications.
- Quiz: Test your prompt engineering skills.
5. Implementing BERT with Hugging Face Transformers
- Hands-On BERT: From setup to sentiment analysis, gain practical experience in implementing BERT using Hugging Face and PyTorch.
6. Demystifying Explainable AI (xAI)
- Explore xAI Concepts: Uncover the mysteries of AI decision-making with LIME, SHAP, and case studies that highlight real-world applications.
- Beyond the Basics: Understand personalization risks, including filter bubbles and exploration-exploitation balance, and how they impact AI’s role in society.
Why Join This Course?
- Comprehensive Learning: From AI foundations to advanced applications, this course covers everything.
- Hands-On Practice: Real-world projects and case studies ensure you’re job-ready.
- Industry-Relevant Skills: Equip yourself with over 140 advanced prompts for use across multiple industries.
- Career & Brand Boosting Techniques: Apply your newfound skills to elevate personal and professional impact.
Enroll today to become a Generative AI Mastermind, equipped with the skills to lead, create, and succeed in today’s AI-driven landscape.
Goals
Upon completing this course, students will have mastered the following skills and concepts:
- Foundations of Generative AI: Understand key differences between AI, ML, and Generative AI; explore its components and potential applications.
- AI Model Evaluation: Learn to measure AI models using precision, recall, and additional evaluation metrics to optimize model performance.
- Mastering Large Language Models (LLMs): Gain a strong foundation in LLMs, including concepts like self-attention, encoder-decoder mechanisms, and performance metrics such as BLEU, ROUGE, and Perplexity.
- Advanced Prompt Engineering Techniques: Develop structured and purpose-based prompts, using methods like Chain of Thought, Instruction Tuning, and Retrieval-Augmented Generation (RAG).
- Prompt Library Access: Get hands-on with 140+ advanced prompts tailored for multiple industries to streamline diverse tasks and projects.
- Implementing BERT with Hugging Face: Set up and implement BERT for practical applications like sentiment analysis using Hugging Face Transformers and PyTorch.
- Explainable AI (xAI) Mastery: Dive into model interpretability with tools like LIME and SHAP, understanding the significance of transparency in AI-driven systems.
- Real-World Application: Use generative AI tools like ChatGPT, Meta AI, and ProdMoh AI to enhance brand presence on platforms like LinkedIn and optimize user research.
By the end of this course, students will be equipped to leverage Generative AI and prompt engineering for effective career advancement, brand development, and impactful AI-driven solutions.
Prerequisites
None
No experience needed.

Curriculum
Check out the detailed breakdown of what’s inside the course
Welcome to Gen AI & Prompt Engineering Program
4 Lectures
-
Introduction to Gen AI & Prompt Engineering Program 03:58 03:58
-
Different Types of AI and AI vs ML 07:02 07:02
-
Fundamentals of Gen AI 04:55 04:55
-
Components of Gen AI 08:06 08:06
Evaluation of AI Models
3 Lectures

Mastering Large Language Models
8 Lectures

Prompt Engineering 101: Essential Techniques and Tools
11 Lectures

Building BERT Models with Hugging Face and PyTorch
3 Lectures

Explainable AI (xAI): Unveiling New Job Frontiers
5 Lectures

Instructor Details

Akhilendra pratap singh
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