Design and deliver
training programs
on Generative AI fundamentals and advanced topics.
Conduct
hands-on workshops
on building AI-powered applications using LLM APIs and frameworks.
Teach
prompt engineering techniques
for text generation, summarization, and contextual reasoning.
Demonstrate
fine-tuning and model customization
for domain-specific tasks.
Guide participants in
building RAG-based solutions
using vector databases and document retrieval systems.
Cover
deployment strategies
for GenAI models on cloud platforms and edge devices.
Provide training on
evaluation metrics
for AI models accuracy, coherence, toxicity detection.
Incorporate
real-world case studies
from finance, healthcare, retail, and customer service domains.
Create
training materials, labs, and coding exercises
for self-paced and instructor-led sessions.
Evaluate participant progress through projects, assignments, and quizzes.
Stay up to date with
latest GenAI research, tools, and best practices
and integrate them into training content.

Preferred candidate profile

5+ years of experience in
AI/ML development
, with at least
2 years in Generative AI
.
Strong coding skills in
Python
with experience in
transformer-based models
.
Proven track record in
LLM integration
and
application development
.
Experience with
LangChain
,
Hugging Face
, and
vector databases
.
Previous experience in
technical training, mentoring, or corporate workshops
.
Excellent communication and presentation skills.
Passion for
emerging AI technologies
and ability to simplify complex topics for varied audiences.

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