NVIDIA Launches Generative AI Teaching Kit to Empower Future Innovators

Generative
AI,
powered
by
advanced
machine
learning
models
and
deep
neural
networks,
is
revolutionizing
industries
by
generating
novel
content
and
driving
innovation
in
fields
like
healthcare,
finance,
and
entertainment.
NVIDIA
is
at
the
forefront
of
this
transformation
with
its
state-of-the-art
GPU
architectures
and
software
ecosystems,
such
as
the
H100
Tensor
Core
GPU
and
CUDA
platform,
which
optimize
the
development
and
deployment
of
generative
models,
according
to

NVIDIA
Technical
Blog.

The
Importance
of
Generative
AI
Education

As
generative
AI
models,
such
as
GANs
and
transformers,
become
increasingly
sophisticated,
there
is
a
growing
demand
for
skilled
professionals
who
can
develop,
refine,
and
ethically
deploy
these
technologies.
A
strong
educational
foundation
in
generative
AI
equips
students
with
the
practical
skills
and
theoretical
knowledge
needed
to
innovate
in
areas
like
content
creation,
drug
discovery,
and
autonomous
systems.

College
and
university
education
in
generative
AI
is
crucial
due
to
the
rapidly
expanding
role
of
AI
in
almost
every
industry.
By
integrating
generative
AI
into
their
curriculum,
universities
prepare
the
next
generation
of
AI
researchers,
engineers,
and
thought
leaders
to
advance
the
field
and
address
the
complex
challenges
associated
with
AI-driven
innovation.

The
new
Generative
AI
Teaching
Kit,
a
collaboration
between
the
NVIDIA
Deep
Learning
Institute
(DLI)
and
Dartmouth
College,
is
set
to
empower
the
next
generation
of
professionals
with
the
skills
and
knowledge
needed
in
this
rapidly
evolving
field.

This
comprehensive
teaching
resource
enables
educators
to
provide
students
access
to
cutting-edge
tools,
frameworks,
and
practical
exercises
crucial
for
understanding
the
complexities
of
Generative
AI
and
large
language
model
development
and
deployment.
By
equipping
students
with
a
deep
understanding
of
generative
AI
techniques,
the
Teaching
Kit
enables
educators
to
foster
future
innovation
and
creativity
in
AI-driven
industries.

As
students
transition
into
the
workforce,
they
will
be
better
prepared
to
tackle
global
challenges,
from
improving
healthcare
and
science
to
advancing
sustainable
technologies.

Sam
Raymond,
adjunct
assistant
professor
of
engineering
at
Dartmouth
College,
was
instrumental
in
developing
the
content.
“Empowering
students
with
skills
to
understand
and
potentially
develop
their
own
GPU-accelerated
Generative
AI
applications
is
the
primary
objective,”
said
Raymond.
“I
believe
students
who
go
through
this
course
will
be
at
a
significant
advantage
in
the
job
market
and
help
bridge
the
knowledge
gap
in
industries
today.”

Overview
of
the
Generative
AI
Teaching
Kit

All
Teaching
Kits
include
lecture
slides,
hands-on
labs,
Jupyter
notebooks,
knowledge
checks,
and
free
online
self-paced
courses
that
provide
certificates
of
competency
for
students,
all
comprehensively
packaged
up
and
ready
for
classroom
and
curriculum
integration.

The
aim
of
the
Generative
AI
Teaching
Kit
is
to
introduce
the
foundational
concepts
of
natural
language
processing
(NLP)
essential
for
understanding
LLMs
and
generative
AI
more
broadly.
Key
concepts
of
LLMs
are
then
examined
using
NVIDIA
GPUs,
tools,
and
services,
as
well
as
open-source
libraries
and
frameworks.
A
simple
pretraining
exercise
of
a
GPT
model
shows
basic
training
processes
in
the
cloud.

The
kit
also
covers
diffusion
models
to
explore
the
application
of
generative
AI
in
image
and
video
generation.
Multi-modal
LLM
architectures
are
then
introduced,
with
a
focus
on
optimizing
various
LLM
architectures
during
fine-tuning
using
the
NVIDIA
NeMo
framework.
Advancements
in
inference
and
the
refinement
of
tools
like
chatbots
are
also
discussed,
using
NVIDIA
NIM,
NeMo
Guardrails,
TensorRT,
and
TensorRT-LLM
to
enhance
efficiency
and
scalability
in
production
environments.

The
Generative
AI
Teaching
Kit
contains
focused
modules
that
combine
theory,
algorithms,
programming,
and
examples.
This
first
release
includes
the
following
modules:

• Introduction
  to
  Generative
  AI
• Diffusion
  Models
  in
  Generative
  AI
• LLM
  Orchestration

More
modules
will
be
available
in
future
releases
of
the
kit.

This
content
is
valuable
for
educators
across
various
fields,
especially
in
computer
science
and
engineering.
Its
modular
design
enables
instructors
to
tailor
the
course
to
meet
the
specific
needs
of
their
students
and
create
a
customized
learning
experience.
Select
professors
from
around
the
world
have
already
been
given
early
access
to
first-release
modules.

“I’m
eager
to
integrate
the
Generative
AI
Teaching
Kit
in
my
AI
in
Materials
Engineering
class,”
said
Mohadeseh
Taheri-Mousavi,
assistant
professor
in
the
Materials
Science
and
Engineering
department
at
Carnegie
Mellon
University.
“The
comprehensive
lecture
notes
with
well-structured
coding
labs
with
examples
from
various
fields,
and
associated
online
courses
with
certificates,
will
provide
my
students
with
the
cutting-edge
resources
to
deeply
understand
the
broad
applications
of
generative
AI
techniques
in
various
fields.”

Professor
Payam
Barnaghi
from
the
Department
of
Brain
Sciences
at
Imperial
College
London
uses
LLMs
and
generative
AI
in
his
research
using
electronic
health
records
and
healthcare
data.
“NVIDIA
Generative
AI
Teaching
Kit
content
is
a
wonderful
resource
for
students
learning
the
latest
developments
in
AI
and
machine
learning,”
said
Barnaghi.
“As
a
result
of
having
early
access
to
the
first
modules,
I
plan
to
use
this
content
as
the
basis
for
teaching
advanced
topics
in
my
machine
learning
for
neuroscience
courses.”

Given
the
fast-paced
advancements
in
generative
AI,
educators
can
expect
the
teaching
materials
to
be
updated
over
time.
NVIDIA
is
dedicated
to
offering
high-end
educational
resources
and
welcomes
feedback
to
continuously
improve
the
content.

Get
Started

Educators
can
access
the
first
release
of
the
Generative
AI
Teaching
Kit
and
other
kits
for
free
by
joining
the

NVIDIA
DLI
Teaching
Kit
Program.

About
the
NVIDIA
Deep
Learning
Institute

The

NVIDIA
Deep
Learning
Institute
(DLI)
offers
resources
for
diverse
learning
needs,
from
learning
materials
to
self-paced
and
live
training
to
educator
programs.
Individuals,
teams,
organizations,
educators,
and
students
can
now
find
everything
they
need
to
advance
their
knowledge
in
AI,
accelerated
computing,
accelerated
data
science,
graphics,
simulation,
and
more.

Image
source:
Shutterstock