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Imagine a world where machines can write poetry, compose music, generate realistic images and even translate languages on the fly. This is the promise of Generative AI, a subfield of artificial intelligence that focuses on creating new content, rather than just analyzing existing information. Generative AI models are like artists, trained on vast amounts of data to learn the patterns and rules that govern different creative domains. They then use this knowledge to generate entirely new and original outputs, pushing the boundaries of what we thought possible with computers.

EXCITING APPLICATIONS OF GENERATIVE AI

Generative AI is still evolving, its potential is vast.
By understanding its capabilities and limitations, we can harness this powerful technology to create a more creative, imaginative and innovative future.

SKILLS COVERED UNDER GENERATIVE AI COURSE
Technical
NLP
LLMs
Prompt Engineering
Generative AI Techniques
Cloud Computing
Programming
Non-Technical
Creativity
Communication
Ethical Considerations
Additional
Data Preprocessing
Model Evaluation
Case Studies
Self-paced learning

Mastering these skills, with the added benefit of our Intership Program, will empower you to contribute to the exciting field of generative AI and unlock its immense potential.

Upon completion, you'll gain the skills and knowledge to
  • Understand and apply generative AI techniques in various domains.
  • Develop and deploy generative AI models on cloud platforms.
  • Craft effective prompts for LLMs and achieve desired results.
  • Evaluate the performance of generative AI models and identify areas for improvement.
  • Apply generative AI to solve real-world problems and create innovative solutions.
  • Stay informed about the latest advancements in generative AI and contribute to its future development.
Who should take Generative AI Course
  • You're a tech professional: Stay ahead of the curve with AI skills.
  • You're in business: Leverage AI for marketing, advertising and strategy.
  • You're a creative:
    Explore AI's potential for music, writing and art.
  • You're a student or recent grad:
    Gain in-demand skills for the AI industry.
  • You're curious about AI:
    Learn about its potential and exciting opportunities.

Some of the exciting applications of Generative AI:

Art & Design: Artists can use AI to create unique pieces of art, explore new styles, and generate variations on existing works.

Music & Entertainment:Composers can use AI to write original music, create sound effects, and even personalize music recommendations.

Content Creation:Writers can use AI to overcome writer's block, generate different writing formats, and even translate their work into other languages.

Scientific Research:Scientists can use AI to generate realistic simulations, model complex systems, and design new materials.

Product Development:Companies can use AI to generate innovative product ideas, personalize customer experiences, and optimize advertising campaigns.

Skills Covered under Generative AI Course:

Technical:

NLP: Understand and manipulate text, analyze sentiment and topics, translate languages, build and train NLP models.

LLMs: Utilize ChatGPT and other LLMs for text generation, translation, and question answering.

Prompt Engineering: Craft effective prompts to guide LLMs towards desired outputs.

Generative AI Techniques: Understand and implement GANs, VAEs, and evaluate their performance.

Cloud Computing: Deploy and manage generative AI models on cloud platforms.

Programming: Master Python and other relevant languages for generative AI development.

Non-Technical:

Creativity: Imagine innovative solutions and explore potential applications across various fields.

Communication: Explain complex AI concepts and write compelling reports and presentations.

Ethical Considerations: Understand ethical concerns and advocate for responsible AI development.

Additional:

Data Preprocessing: Prepare data for training generative AI models.

Model Evaluation: Assess performance based on accuracy, fluency, and coherence.

Case Studies: Learn from real-world examples of generative AI applications.

Self-paced learning: Deepen knowledge in specific areas like Big Data and advanced statistics.

Mastering these skills will empower you to contribute to the exciting field of generative AI and unlock its immense potential.

Enroll today and launch your AI-powered future with our internship

Introduction To Generative AI
Overview of Generative AI
Generative AI vs. Traditional AI
Use Cases
Understanding AI: Basics and Use Cases
Differentiating ML, DL and AI
Basics On NLP I
What is NLP?
History of NLP
NLP End to end workflow
Stopwords
Tokenization
Stemming
Lemmatization
POS tagging
TFIDF
Basics On NLP 2
One hot encoding
Bag of words
Unigram
Bigram
ngram
Word embeddings Skip Gram
Word2vec model
NLP Models
RNN
LSTM Models & GRU Models
Transfer learning
Advance NLP
Encoder-decoder architecture
Attention mechanism
Transformer
BERT
Lab Introduction: Text Translation Using Encoder-Decoder Architecture
Hands-on experience with text translation using the encoder-decoder architecture
Understand The Working Of LLMs
LLM
Use Cases
Text Generation
Chatbot Creation
Foundations of Generative Models & LLM
Generative Adversarial Networks (GANs)
Autoencoders in Generative AI
Significance of Transformers in AI
"Attention is All You Need" - Transformer Architecture
Reinforcement Learning
RLHF
LLMs Foundation Models
Encoder Models i.e.
BERT
Decoder Models GPT
Encoder Decoder Model i.e.
T5
Real World Applications And Case Studies
Real-world applications and case studies of LLMs
Fine Tuning And Evaluating LLMs
Instruction fine-tuning
Fine-tuning on a single task
Multi-task instruction fine-tuning
Model evaluation
Benchmarks
Parameter efficient fine-tuning (PEFT)
PEFT techniques 1: LoRA
PEFT techniques 2: Soft prompts
Lab 2 walkthrough
Evaluation Matrix
Rouge1
BLEU
Meteor
CIDEr
Reinforcement Learning And LLM Powered Applications
Reinforcement Learning
LLM Applications
Deployment And Hardware Considerations
Deployment Strategies
Hardware Requirements
Langchain
Langchain: A Framework for LLMs
LLMOps
LLM Operations
Scalability
Best Practices
Introduction To Generative AI On Cloud : Hugging Face / Hugging Fce Hub
Hugging Face
GCP and Hugging Face Overview
Generative AI On Cloud - GCP
In-depth GCP
Model Evaluation
Prompt Design
Generative AI On Cloud - Azure
Azure ML
Azure Cognitive Services
Azure Databricks
Generative AI On Cloud - AWS
AWS Sagemaker
AWS Jumpstart
AWS Bedrock
Ethics And Responsibility In Generative AI
Responsible AI
Google's Approach
Ethical Issues

ChatGPT

Introduction To Generative AI
Foundations of NLP
Introduction to NLP
Key Concepts and Terminologies
NLP Techniques and Algorithms
Chatbots and Their Evolution
Definition of Chatbots
Evolution of Chatbots
Types of Chatbots
Large Language Models
Introduction to OpenAI and LLMs
Introduction to OpenAI and LLMs
What are LLMs?
How do LLMs work?
Types of LLMs
Practical uses of LLMs
Introduction To ChatGPT & Architectures
Introduction to GPT and ChatGPT
Overview of GPT
ChatGPT Capabilities
GPT Architecture
Understanding GPT-3, GPT 3.5, and GPT-4
GPT-3 vs GPT-4
Advancements in GPT-4
Ethical Considerations
Training And Optimization
Setting Up the ChatGPT Environment
Accessing OpenAI API
API Keys and Rate Limits
Setup for Development
Building a Simple Chatbot with ChatGPT
Conversation Flows
GPT in Chatbots
Testing and Iteration
Training and Fine-tuning ChatGPT
Transfer Learning
Pre-training and Fine-tuning ChatGPT
Data for Training
Dataset Preparation
Fine-tuning Techniques
Model Performance Monitoring
Integrating ChatGPT with Other Services
Webhooks and APIs
Integration with Platforms
Chatbots for Social Media
Advanced Conversation Design
Context and Long Conversations
Personality and Tone
Advanced Scripting
RLHF and ChatGPT
Reinforcement Learning Principles
Human Feedback in Training
Role of RLHF in GPT
Applications
ChatGPT for Business Applications
Customer Service Automation
Personal Assistants
Sales and Marketing Bots
Risks, Limitations And Ethical Considerations
Safety and Ethical Considerations
Bias Detection and Mitigation
Ethical AI Use
Safety Measures
Future Developments
The Future of ChatGPT and Conversational AI
Trends and Predictions
Potential Upgrades
Future of AI and Society
Future of Chatbots and Conversational AI
Beyond ChatGPT: The next frontier
Opportunities and challenges

Prompt Engineering

Foundations Of Generative AI
Understanding AI: Descriptive vs Generative AI
The nature of AI
Comparison of descriptive and generative AI
Introduction to Natural Language Processing
Core concepts in NLP
Basics of language understanding
Understanding Large Language Models (LLMs)
Overview of LLMs
Their scope
Capabilities
Use cases
Introduction to GPT & Chat GPT
What is GPT
Its evolution
Generational changes
Introduction To Prompt Engineering
The Fundamentals of Prompt Engineering
What is prompt engineering
Its importance
Types of prompts
Content Generation with Prompts
Strategies for generating text
Video scripts
Music using prompts
Tokens and Parameters in AI
The role and understanding of tokens
Introduction to prompt parameters
Advanced Prompt Techniques
Zero-Shot to Few-Shot Learning
Deep dive into zero-shot
One-shot
Few-shot learning
Fine-Tuning AI Model Parameters
Introduction to model parameter adjustments
Hallucinations and Bias in AI
Strategies for managing AI hallucinations and biases
Advanced Prompt Engineering Techniques
Methods for crafting complex prompts
Incorporating creativity and context
Refining and Optimizing Prompts
Techniques for prompt refinement and iterative improvement
Evaluating And Testing Prompts
Metrics for Evaluating Prompts
How to assess prompt quality and performance
Human Evaluation of Prompts
Techniques for collecting and analyzing human feedback on prompts
Testing Prompts on Different Models and Tasks
How to assess prompt performance across different AI models and tasks
Applications Of Prompt Engineering
Natural Language Processing
Question-Answering Systems
Conversational AI
Sentiment Analysis
Text Summarization
Code Generation with Prompt Engineering
GitHub Copilot Exploration
Image & Video Content Creation using prompt engineering
Using Midjourney and other tools. DALL-E 2 and GPT-4: A Comprehensive Overview Exploring the capabilities and limitations of DALL-E 2 and GPT-4 Real-world scenarios, case studies, tool-specific tips
Music Generation with Prompt Engineering
Create Poem
Music
The Ethics Of AI Prompt Engineering
Ethics & Bias in Prompt Engineering
Ethical considerations
AI transparency
Responsible AI usage

Value added courses

Basics Of Python
Introduction
Python Introduction - Programing Cycle of Python
Python IDE and Jupyter notebook
Variables
Variables
Data type
Code Practice Platform
create , insert , update and delete operation , Handling erros
Operators
Operator -Arthmatic ,comparison , Assignment ,Logical , Bitwise opeartor
Decision making - Loops
Loops
While loop, for loop and nested loop
Number type conversion - int(), long(). Float ()
Mathametical functions , Random function , Trigonometric function
Sting
Strings- Escape char, String special Operator , String formatting Operator
Build in string methods - center(), count()decode(), encode()
List
Python List - Accessing values in list, Delete list elements , Indexing slicing & Matrices
Built in Function - cmp(), len(), min(), max(), list comprehension
Tuples
Tuples - Accessing values in Tuples, Delete Tuples elements , Indexing slicing & Matrices
Built in tuples functions - cmp(), len ()
Dictionary
Dictionary - Accessing values from dictionary, Deleting and updating elements in Dict.
Properties of Dist. , Built in Dist functions & Methods, Dict comprehension
Date & time -Time Tuple , calendor module and time module
Function
Function - Define function , Calling function
pass by refernece as value , Function arguments , Anonymous functions , return statements
Scope of variables - local & global , Decorators and recursion
Map reduce and filter
Modules
Import statemnts , Locating modules - current directory , Pythonpath
Dir() function , global and location functions and reload () functions , Sys module and subprocess module
Packages in Python
Files
Files in Python- Reading keyboard input , input function
Opening and closing files . Syntax and list of modes
Files object attribute- open , close . Reading and writing files , file Position.
Renaming and deleting files
Pickle and Json
Directories
mkdir methid, chdir () method , getcwd method , rm dir
Exception Handling
Exception handling - List of exceptions - Try and exception
Try- finally clause and user defined exceptions
OOP
OOP concepts , class , objects , Inheritance
Overriding methods like _init_, Overloading operators , Data hiding
Regular Expressions
match function , search function , matching vs searching
Regular exp modifiers and patterns
SQLite and My SQL
Data base connectivity
Methods- MySQL , oracle , how to install MYSQL , DB connection
create , insert , update and delete operation , Handling erros
Framework
Introduction to Django framwork , overview , environment
Apps life cycle , creating views
Application, Rest API
Module 40 - Basics Of MYSQL
Introduction to What is DataBase
Difference between SQL and NOSQL DB
How to Install MYSQL and Workbench
Connecting to DB
Creating to DB
What are the Languages inside SQL How to Create Tables inside DB and Inserting the Records
Select statement and using Queries for seeing your data
Joining 2 tables
Where clause usage
Indexes and views
Different operations in SQL
How to Connect to your applications from MYSQL includes R and Python

AI Simplifie isn't just about acquiring knowledge; it's about empowering you to succeed.

HANDS-ON LEARNING:

Live projects: Dive deep into real-world challanges from diverse industries, building a strong portfolio and gaining invaluable experience.
50+ labs and 30+ assignments: Put your theoretical knowlede to the test with practical exercises and assignments, solidifying your skills.
1500+ interview preparation questions: Conquer your anzieties and master interview techniques with our comprehensive interview prep program.

INDUSTRY-LEADING EXPERTISE:

Industry-best trainers: Learn from exerienced professionals who are passionate about their fields and share their insights and practical knowledge.
Tailored curriculum: Choose from various curriculums designed to meet your specific goals and interests, ensuring you gain the most relevant skills.
Lifetime access: Stay ahead of the curve with our e-learning platform, where you can revisit course materials and access new resources anytime.

HANDS-ON LEARNING:

Dedicated placement cell: We work tirelessly to connect you with career opportunities and help you land your dream job.
Personalized guidance: Receive ongoing support throughout your training and beyound, with access to our dedicated team through WhatsApp, calls and emails.
Peer support: Connect with fellow learners, build a strong network, and benefit from mutual support and shared experiences.

AI Simplifie is more than just a training institute it's a community that invests in your success. Join us and unlock your full potential.

AI SIMPLIFIE: WHERE PASSION MEETS EXPERTISE-TOP-NOTCH FACULTY AWAIT YOU:

At Ai Simplifie, we believe that exceptional learning requires exceptional instructors. That's why our faculty is comprised of passionate trainers possessing 12+ years of industry experience. They are not just teachers; they are mentors, guides and industry veterans who share their knowledge and insights to empower you for success. Here's what sets our faculty apart:
Real-world expertise
Passionate about teaching
Dedicated to your success
Industry connections
Excellent communication skills

DIVE DEEP WITH AI SIMPLIFIE'S EXHAUSTIVE COURSE CURRICULUM: PRACTICAL EXPOSURE MEETS THEORETICAL FOUNDATION:

At AI Simplifie, we believe that a strong foundation in both theory and practical application is crucial for success. That's why we offer an exhaustive course curriculum designed to equip you with the necessary knowledge and hands-on experience to thrive in your chosen field. Our curriculum features:
Comprehensive coverage of all relevant topics
Industry-aligned content
Hands-on learning
Expert-led sessions
Flexible learning options

BRIDGE THE GAP BETWEEN THEORY AND PRACTICE: REAL-LIFE PROJECTS AND BOOTCAMPS AT AI SIMPLIFIE:

At AI Simplifie, we understand that theoretical knowledge alone is not enough. We believe in learning by doing, which is why we offer real-life projects and bootcamps as an integral part of our curriculum.

ONE REAL-LIFE PROJECTS OFFER:

Exposure to real-world data challenges:
Application of theoretical knowledge:
Skill development
Collaboration and teamwork
Confidence building

OUR BOOTCAMPS OFFER:

Intensive training on specific skills
Expert guidance and mentorship
Networking opportunities
Rapid skill acquisition
Career advancement

Let's embark on this transformative journey together! Join us...

Learning Path: Your Roadmap to Success with Internship Program

This conprehensive path equips you with the knowledge, skills and confidence to land your dream job and thrive in your career.

BUILD YOUR KNOWLEDGE BASE:

Master the fundamentals through expert-led training and intership experience.
Apply you learning to real-world scenarios through case studies, projects and intershipp tasks.
Deepen your knowledge with specialized dives, customized learning paths and intership-specific learning modules.

DEVELOP ESSENTIAL SKILLS:

Gain practical experience through real-world data projects, teamwork and internship responsibilities.
Build your resume and portfolio with industry-relevant skills acquired through your internship.
Refine your communication, interview and negotiation skills through workshops, coaching and internship interactions.

INTERNSHIP FOR INSTANT JOB READINESS:

Connect with industry leaders through networking events, guest speakers, and internship partnerships.
Receive personalized career coaching and launch a successful job search with internship guidance.
Transition from student to professional with confidence and adaptability, thanks to your internship preparation.

EMPOWER YOUR FUTURE:

Cultivate a lifelong learning mindset and embrace continuous up skilling opportunities available through your internship and beyond.
Gain industry recognition and leverage your knowledge for impact through your internship projects.
Build a strong professional network through internship connections and fellow learners and connect with mentors for ongoing guidance.

Let's embark on this transformative journey together! Join us...