AI Expert program, 6 weeksGenerative AI and Prompt Engineering

An in-depth introduction to generative AI and prompt engineering: how generative models work and how to craft effective prompts, with practical hands-on sessions.

Book an appointment Call 847-350-9034

6 weeksPractical sessionsCapstone project

Six weeks

Theory plus a practical session each week. 1

Intro to Generative AI

Scope, history, applications, GPT, VAEs, GANs, tool setup.2

Transformers and LLMs

Attention, encoder-decoder, tokenization, embeddings, fine-tuning.3

Intro to prompt engineering

Prompt basics, context and intent, keywords, testing simple prompts.4

Advanced prompting

Output length and style, temperature, task-specific prompts.5

Evaluating and refining

Quality metrics, bias and errors, iterative prompt refinement.6

Applications and ethics

Real-world uses, fairness, ethical use, capstone project.

Detailed course content

Topics covered each week.

Week 1: Introduction to Generative AI

✓Definition, scope and history✓Applications in different domains✓GPT, VAEs and GANs✓Setting up TensorFlow, PyTorch, OpenAI and Hugging Face

Week 2: Transformers and language models

✓Attention mechanism and encoder-decoder✓Pre-training and fine-tuning✓Tokenization and embeddings✓Using GPT and BERT models

Week 3: Introduction to prompt engineering

✓Definition, importance and role of prompts✓Understanding context and intent✓Using keywords and phrases✓Analyzing model outputs

Week 4: Advanced prompting

✓Controlling output length and style✓Temperature and diversity parameters✓Text completion, question answering, classification✓Prompts for specific use cases

Week 5: Evaluating and refining prompts

✓Metrics for quality assessment✓Identifying biases and errors✓Iterative prompt refinement✓Understanding model feedback loops

Week 6: Applications and ethics

✓Content creation and AI-assisted decision making✓Bias, fairness and ethical use✓Capstone project design and implementation✓Final project submission and oral presentation

Support and salient features

Career support and classroom features that come with the course.

Staffing support

✓Resume preparation✓Mock interview preparation✓Phone interview preparation✓Face to face interview preparation✓Project and technology preparation✓Internship with internal project work✓Externship with client project work

Our salient features

✓Hands-on labs and homework✓Group discussion and case study✓Course project work✓Regular quiz and exam✓Regular support beyond the classroom✓Students can re-take the class at no cost✓Dedicated conference rooms for group project work✓Live streaming for remote students✓Video recording to catch up on a missed class

Ready to master prompt engineering?

Call 847-350-9034 or book an appointment to talk about this course and funding options.Book an appointment Call 847-350-9034 Education grant program

Six weeks

Theory plus a practical session each week.1

Intro to Generative AI

Scope, history, applications, GPT, VAEs, GANs, tool setup.2

Transformers and LLMs

Attention, encoder-decoder, tokenization, embeddings, fine-tuning.3

Intro to prompt engineering

Prompt basics, context and intent, keywords, testing simple prompts.4

Advanced prompting

Output length and style, temperature, task-specific prompts.5

Evaluating and refining

Quality metrics, bias and errors, iterative prompt refinement.6

Applications and ethics

Real-world uses, fairness, ethical use, capstone project.

Detailed course content

Topics covered each week.1

Week 1: Introduction to Generative AI

✓Definition, scope and history✓Applications in different domains✓GPT, VAEs and GANs✓Setting up TensorFlow, PyTorch, OpenAI and Hugging Face2

Week 2: Transformers and language models

✓Attention mechanism and encoder-decoder✓Pre-training and fine-tuning✓Tokenization and embeddings✓Using GPT and BERT models3

Week 3: Introduction to prompt engineering

✓Definition, importance and role of prompts✓Understanding context and intent✓Using keywords and phrases✓Analyzing model outputs4

Week 4: Advanced prompting

✓Controlling output length and style✓Temperature and diversity parameters✓Text completion, question answering, classification✓Prompts for specific use cases5

Week 5: Evaluating and refining prompts

✓Metrics for quality assessment✓Identifying biases and errors✓Iterative prompt refinement✓Understanding model feedback loops6

Week 6: Applications and ethics

✓Content creation and AI-assisted decision making✓Bias, fairness and ethical use✓Capstone project design and implementation✓Final project submission and oral presentation

Support and salient features

Career support and classroom features that come with the course.1

Staffing support

✓Resume preparation✓Mock interview preparation✓Phone interview preparation✓Face to face interview preparation✓Project and technology preparation✓Internship with internal project work✓Externship with client project work2

Our salient features

✓Hands-on labs and homework✓Group discussion and case study✓Course project work✓Regular quiz and exam✓Regular support beyond the classroom✓Students can re-take the class at no cost✓Dedicated conference rooms for group project work✓Live streaming for remote students✓Video recording to catch up on a missed class

Ready to master prompt engineering?

Call 847-350-9034 or book an appointment to talk about this course and funding options.Book an appointment Call 847-350-9034 Education grant program