ADaSci Certified Generative AI Engineer

Categories Generative AI

ADaSci Certified Generative AI Engineer

Elevate your AI expertise with the ADaSci Certified Generative AI Engineer program, a comprehensive course designed for intermediate learners aiming to master generative AI.

This 30-hour course culminates in a 2-hour exam consisting of 100 multiple-choice questions. Achieving a score of over 66% grants the prestigious ‘ADaSci Certified Generative AI Engineer’ certification, marking your validated skills in the competitive AI industry.

With a curriculum covering everything from machine learning basics to advanced transformers and foundation models in generative AI, this certification provides a solid theoretical understanding along with practical, hands-on experience. Stand out as a certified expert in generative AI, ready for career advancement in this rapidly evolving field.

Level

Intermediate
Duration

30 hours
Last Updated

May 7, 2024
Certificate

Certificate of completion

Master Generative AI with ADaSci's Certified Engineer Program. Comprehensive learning track covers theory to practice. 2-hour exam with 100 MCQs. Score over 66% to earn 'ADaSci Certified Generative AI Engineer' certification, validating expertise for competitive advantage in the AI landscape.

Course Curriculum

Foundations of Generative AI

Complete Dose on Machine Learning
Mastering Deep Learning
Foundation Models in Generative AI

02:33:37
Transformers

Getting Started with Generative AI & LLM

Image Generative and Text Generative Models

Generative AI Tools and Frameworks

Vector Databases, Search and RAG

Deep Dive into Vector Databases
Popular Vector Databases – Pinecone, FAISS, Chroma, etc.
Video: Vector Databases – Intuition

10:56
Video – Vector Databases – Hands-on

08:23
Semantic Search in LLMs
Contextual Search and Vector Search
Personalized Search, Multimodal Search, Knowledge Graph Search
Retrieval-Augmented Generation (RAG)

12:34
Video – RAG Hands-on Implementations

07:53

Fine Tuning and Optimizing Generative AI Models

Prompt Engineering

Deployment and Scaling of Generative Models

Security, Ethics and Bias in Generative AI

Certification Exam

Testimonials

5.0

Total 1 Rating

1 Rating

0 Rating

Plaban Nayak

4 months ago

On the point

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Our Latest Courses

ADaSci Certified Generative AI Engineer

What I will learn?

Course Curriculum

Foundations of Generative AI

Complete Dose on Machine Learning

Mastering Deep Learning

Foundation Models in Generative AI

Transformers

Getting Started with Generative AI & LLM

Generative AI Vs Discriminative AI

Generative AI Techniques and Approaches

Applications and Industry Use Cases

Image Generative and Text Generative Models

DALL.E

Stable Diffusion

Hands-on: Image Generative Models

Large Language Model

Generative Pre-Trained Transformers (GPT)

LLaMA

Other Popular LLMs

Video: Advanced LLMs – Intuition

Video: Advanced LLMs – Hands-on

Generative AI Tools and Frameworks

LangChain for LLM-Based Application Building

Generative AI providers – OpenAI, Cohere, Anthropic, LLMFlow

LlamaIndex for LLMs

Autonomous AI Agents – AutoGPT and BabyAGI

Code Generative Tools – Amazon CodeWhisper, OpenAI Codex

Open-source Tools and Resources for Generative AI

Video: Generative AI Agents – Hands-on

Vector Databases, Search and RAG

Deep Dive into Vector Databases

Popular Vector Databases – Pinecone, FAISS, Chroma, etc.

Video: Vector Databases – Intuition

Video – Vector Databases – Hands-on

Semantic Search in LLMs

Contextual Search and Vector Search

Personalized Search, Multimodal Search, Knowledge Graph Search

Retrieval-Augmented Generation (RAG)

Video – RAG Hands-on Implementations

Fine Tuning and Optimizing Generative AI Models

Supervised Fine Tuning, Full Fine Tuning, Self-Supervised Fine Tuning

Parameter-Efficient Fine-Tuning (PEFT)

Reinforcement Learning from Human Feedback (RLHF)

Soft Prompts for Fine Tuning

Prompt Engineering

Prompt Design Strategies

Prompt Patterns

Prompt Tuning Techniques

Fine-tuning Prompts for Specific Tasks

Zero-shot learning, Chain-of-thought, Self-consistency

Deployment and Scaling of Generative Models

Model Deployment Strategies

Scalability and Resource Management for Generative Models

Automated Pipelines for Model Deployment

Security Measures in Model Deployment

AIOps and LLMOps

Security, Ethics and Bias in Generative AI

Deepfakes and Misinformation

Privacy and Data Security

Privacy-Preserving Generative Models

Explainability and Transparency

Bias Detection and Mitigation

Certification Exam

Exam

Testimonials

Material Includes

Who Should Take this course?

See how employees at top companies are mastering Artificial Intelligence skills

Chartered Data Scientist (CDS™)

The highest distinction in the data science profession. Not just earn a charter, but use it as a designation.

Lattice - Our ML Journal

Lattice is an international peer-reviewed and refereed journal on machine learning hosted and managed by ADaSci

Become ADaSci Member

We offer both Individual & Institutional Membership.

Get exclusive access to leading AI Resourses

The power of intelligence to propel humanity and make a difference

Our Accrediations

CDS Program