GoLogica Generative AI Training in Pittsburgh is designed as a specialized course focusing on the high-end field of generative artificial intelligence. With hands-on labs, flexible learning options, and real-time projects, this integrated program gears students to render deep knowledge in generative models, neural networks, and AI-driven creativity. It teaches students how to successfully harness AI for highly realistic simulations, efficiency gains, and enabling innovations across all sectors from media and entertainment to health care.
GoLogica Academic's Master Program features a structured curriculum, paving the way to Global scope.
Industry Experience
GoLogica having a 15+ years of experience on career transforming programs with industrial oriented Skills.
Latest AI Trends
GoLogica Advanced Programs delivers cutting-edge AI Training, offering insights into the latest trends.
Hands-on Experience
GoLogica emphasizes practical learning with exercises, projects to equip you with real world application.
Learners Achievement
Maximum Salary Hike
150%
Average Salary Hike
75%
Haring Partners
2000+
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Generative AI Program Details
The GoLogica Generative AI Training in Pittsburgh is an immersive learning experience on generative artificial intelligence, from foundational concepts to advanced, state-of-the-art techniques. This course is suited for aspiring AI engineers and professionals who want to specialize and combine theoretical knowledge with practical application, hence preparing students for innovation roles in the ever-growing world of generative AI. Materials will range from data synthesis and deep learning fundamentals to cutting-edge tools and technologies that fuel the creativity of AI.
It starts with a solid foundation of AI and machine learning, laying down necessary topics like supervised and unsupervised learning, data preprocessing, and statistical analysis. The program pushes these students deeper into the neural networks and deep learning architectures, teaching them behind generative models in the form of GANs, Variational Autoencoders, and transformer models. These models form the foundation of most generative AI applications, from synthetic image and text generation to more complex uses like audio synthesis and interactive AI agents.
This course by GoLogica in Pittsburgh continues with advanced topics that involve reinforcement learning as well as natural language processing skills, crucial for working with generative AI tools. Practical labs bring up practice experience with popular frameworks such as PyTorch, TensorFlow, and Hugging Face's Transformers library. They will also learn the training, tuning, and deployment of models, ensuring that projects are scalable, secure, and optimized for real-world usage. Practical applications include in-depth applications through chatbots, virtual environments, and AI-driven content creation so that the final product will be interactive, responsive, and efficient in systems that use AI.
The program places a strong emphasis on developing ethical AI in addressing such pertinent areas as mitigating bias, the privacy of data, and transparency. This will help these students place their solution designs in perspective concerning industry standards and applicable guidelines regarding ethics.
During training, students work on industry-aligned projects that provide hands-on experience in the use of generative AI. These projects span media, healthcare, and finance and challenge them to build end-to-end AI solutions that make it possible for them to develop realistic and valuable outputs that include things such as content and virtual assistance. Upon completion, students will have a professional portfolio of projects, and hence they are very good candidates for positions in generative AI.
This course will provide technical training integrated with best practices in AI version control, troubleshooting, as well as model performance optimization. The Generative AI Master's Course in Pittsburgh by GoLogica equips the learner with the expertise and skills to engage in real-world challenges of AI and come up with sustainable, efficient, as well as responsible solutions in generative AI.
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Generative AI Syllabus
Python
Python was mainly developed for emphasis on code readability, and its syntax allows programmer to express concepts in fewer lines of code.Python is considered a scripting, language like Ruby or Perl and is often used for creating Web applications and dynamic Web content.
WEEK 2-3 20 Hours LIVE CLASS
History
Features
Setting up path
working with Python
Variable and Data Types
Operator
If
If- else
Nested if-else
For
While
Nested loops
Break
Continue
Pass
Accessing Strings
Basic Operations
String slices
Function and Methods
Accessing tuples
Operations
Working
Functions and Methods
Accessing list
Operations
Working with lists
Function and Methods
Defining a function
Calling a function
Types of functions
Function Arguments
Anonymous functions
Global and local variables
Importing module
Math module
Random module
Packages
Composition
Printing on screen
Reading data from keyboard
Opening and closing file
Reading and writing files
Functions
Exception
Exception handling
except clause
Try? Finally clause
User Defined Exceptions
Class and object
Attributes
Inheritance
Overloading
Overriding
Data hiding
Match function
Search function
Matching VS Searching
Modifiers
Patterns
Introduction
Architecture
CGI environment variable
GET and POST methods
Cookies
File upload
Connections
Executing queries
Transactions
Handling error
Socket
Socket Module
Methods
Client and server
Internet modules
GoLogica provides Data Science with Python Training This course has been designed with a focus on quality and simplicity making it ideal for Beginners or for those looking for a refresher on Data Science with Python. It gives an engaging learning experience covering everything you need to know about Data Science.
WEEK 3-4 30 Hours LIVE CLASS
Your first program
Types
Expressions and Variables
String Operations
Lists and Tuples
Sets
Dictionaries
Conditions and Branching
Loops
Functions
Objects and Classes
Reading files with open
Writing files with open
Loading data with Pandas
Working with and Saving data with Pandas
ChatGpt
In this course, you will learn about the workings of OpenAI’s ChatGPT model, the model architecture, and the fine-tuning techniques. You will also discover in detail how to embed ChatGPT into various applications, control conversation flows, and fine-tune it for distinct tasks. Applied, you’ll learn about the operative utilization and development of AI chatbots as well as NLP, making ChatGPT your robust tool in AI capability.
WEEK 2-3 24 Hrs LIVE CLASS
What is Chat GPT?
Understanding the capabilities and limitations
Use cases and applications
Setting up the environment
Choosing a development platform
Accessing the API or using the local runtime
Formatting your input
Sending requests to the model
Handling responses
Exploring different input formats
Prompts and instructions
System and user messages
Controlling response length
Adjusting temperature and top-k sampling
Maintaining context
Multi-turn conversations
Conversation history and context management
Resolving ambiguity and clarifying queries
Introduction to fine-tuning
Preparing your dataset
Training your fine-tuned model
Evaluating and deploying your model
Writing effective prompts and instructions
Managing bias and controversial topics
Handling sensitive information and user privacy
Ensuring safety and avoiding harmful outputs
Chat GPT API advanced features
Using system-level instructions for better control
Handling rare and out-of-distribution queries
Incorporating user feedback for model improvement
Prompt Engineering
The GoLogica Prompt Engineering Course is centered around effective prompts as a means to elicit the correct responses from AI models, together with ChatGPT. This course helps you learn when and how to write great prompts that obtain clear and relevant information. You will also learn how to better tune prompts to allow for an improved fit of the prompts to the task, thereby making ChatGPT and similar systems better suited for so many applications.
Week 3-4 40 Hours LIVE CLASS
What is Prompt Engineering, and why do we care?
English as a new programming language
Getting to know our GPT-based AI tool
The Naive Prompting Approach and the Persona Pattern
The Interview Pattern
The Chain-of-Thought Approach in Prompt Engineering
The Tree-of-Thought Approach in Prompt Engineering
Controlling Verbosity and the Nova System
Getting to Know watsonx Prompt Lab
Generative AI
The Generative AI Industry Applications course is built for understanding how innovative forms of AI, like the GPT, are transforming industries such as technology, entertainment, and production. You will get to understand how you can incorporate AI in automating tasks, creating content, and improving decision-making. This course enables students to apply the concepts in the project and case-study scenarios where generative AI can be of immense value. Once you understand how AI impacts different industries, you can create AI solutions that apply to specific fields, address numerous challenges in these fields, and drive development around various
WEEK 2-3 20 Hrs LIVE CLASS
GANs Fundamentals
Types of Generative AI Models
Ethical Considerations for using AI
Synthetic Data Generation
Applications of Generative AI in Different Industries
Generative AI in Business
Code Generation Techniques
Automated Software Testing and Test Case Generation
Version Control and Collaborative Coding
Automated Bug Detection and Real-Time Code Translation
Successful Projects Integrating Generative AI for Efficiency
Malware Detection and Behavioural Analysis Using Generative AI
Intrusion Detection and Real-Time Threat Detection Models
Network Security and Anomaly Detection
Adversarial Attacks and Defences in Generative AI-Based Security
Predictive Modeling for Cybersecurity Incidents
Ethical Hacking and Vulnerability Analysis with Generative AI
Personalised Marketing and Recommendation Systems
Customer Segmentation and Targeted Marketing Campaigns
Content Creation and Creative Marketing
A/B Testing and Marketing Optimisation
Sentiment Analysis and Brand Perception
Language Modeling Techniques and Custom Model Training
Fine-Tuning Models for Prompt Engineering
Creative Writing and Storytelling with Generative AI
Content Summarisation and Abstraction Techniques
Evaluating and Optimising Prompt Engineering Models
Impact of Generative AI
Project Planning and Scheduling Optimisation
Resource Allocation and Workload Balancing
Risk Assessment and Mitigation Strategies
Project Progress Tracking and Predictive Analytics
Task Automation and Efficiency Improvements with Generative AI
Data Synthesis and Analysis Techniques Using Generative AI
Pattern Recognition, Trend Analysis, and Predictive Modelling
Decision Support Systems Development
Business Insights Extraction from Large Datasets
Evaluating and Communicating Analytical Results Effectively
Cloud Resource Provisioning and Management Optimisation
Automated Scaling, Load Balancing, and Resource Optimisation
Security and Compliance Enforcement in Cloud Environments
Anomaly Detection and Threat Monitoring Using Generative AI
Dynamic Adaptation to Changing Cloud Demands with Generative AI
Data Generation and Augmentation Techniques
Predictive Analytics, Forecasting, and Trend Prediction
Exploratory Data Analysis Using Generative AI Models
Feature Engineering and Data Pre-processing Automation
Supply Chain Optimisation and Demand Forecasting
Predictive Maintenance, Fault Detection, and Root Cause Analysis
Process Automation and Efficiency Improvements
Inventory Management and Production Scheduling Optimisation
Monitoring and Adaptive Operations Strategies
To become a master in Generative AI?
Skills Covered
Tools Covered
Career Support
Personalized Industry Session
This will help you to better understand the Generative AI.
High-Performance Coaching
you will be able to grow your career by broadening your proficiency in Generative AI.
Career Mentorship Sessions
With this, the students will be able to decide their careers in the right way.
Interview Preparation
We Help with face-to-face interaction through mock interviews & Exams
Program Fee
Program Fee: 98000 /-
88200 /-
Discount: 9800
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Generative AI Certification
GoLogica Generative AI Certification holds accreditation from major global companies worldwide. Upon completion of both theoretical and practical sessions, we offer certification to both freshers and corporate trainees. Our certification on Generative AI is recognized globally through GoLogica, significantly enhances the value of your resume, opening doors to prominent job positions within leading MNCs. Attainment of this certification is contingent upon the successful completion of our training program and practical projects.
Job Outlook
Personalized Industry Session
The U.S. Bureau of Labor Statistics (BLS) forecasts a 25% increase in employment for Generative AI from 2021 to 2031, significantly outpacing the average for all occupations. Additionally, Generative AI Ventures predicts 3.5 million unfilled cybersecurity jobs worldwide by 2025.
High-Performance Coaching
According to the BLS, Generative AI professionals are well-compensated. The median annual wage for Generative AI was $120,000 and $180,000 PA It’s depending on factors such as experience, location, and specific job responsibilities.
Job Titles
Are you preparing for a interview? If yes, our expert tutors will help you with this.
Machine Learning Engineer
AI Engineer
Data Scientist
NLP Engineer
Generative AI Researcher
Prompt Engineer
Generative AI Faq’s
The program generally takes anywhere from 6 to 7 months to complete, depending on the speed of the learner and category of learning, full-time or part-time.
The program offers a combination of real-time instructor-led and recorded modular and asynchronous designs.
Yes, you will receive a Generative AI Master’s Program certificate from GoLogica.
No, it is not necessary to have prior experience in using artificial intelligence technologies.
With this program, you will learn popular AI skills, receive individualized job search assistance, and find the most attractive positions for working in the AI sector.
You will apply AI in practice throughout the entire course, creating conversational agents, deploying AI models, and applying AI to selected industry issues.
You can apply for some job positions like AI Engineer, Machine Learning Engineer, NLP Specialist, Data Scientist, and Prompt Engineer.
The average salaries of AI engineers can cost around 12 lakhs per annum in India.
Prompt engineering refers to creating suitable prompts for attaining the right results from an AI model such as ChatGPT. This part is an important step when it comes to achieving the best performance levels of AI models.
No, it is not necessary. However, having a background in data science is an advantage.
This program is concentrated mainly on Generative AI models as well as their practical usage, providing the best approaches to comprehending the newest trends in AI systems such as ChatGPT and Prompt Engineering.
Learners receive instant technical assistance, the possibility of learning directly from AI specialists, and project and assignment assistance.
Basic programming knowledge, preferably in Python, is recommended. Familiarity with data science concepts will be useful.
You will have access to live sessions, recorded tutorials, study materials, project workbooks, and a peer community for collaboration and networking.
Yes, you can attend pre-recorded sessions and complete assignments at your convenience. However, live sessions are scheduled and should be attended in real time.
Yes, you will be able to access all recorded sessions and course materials after the program.
Generative AI is widely used in industries such as finance, entertainment, marketing, and manufacturing for tasks such as content creation, automation, and decision-making.
Yes, GoLogica does offer guaranteed job placement assistance, which includes writing CVs, conducting interviews, and offering genuine job links.
Yes, the program is flexible. It offers part-time learning options with pre-recorded videos and weekend live sessions.
You will be given constant career advice, high-performance counseling, and multiple opportunities to get in touch with professionals who assist users with their job search and interviews.
You will follow how AI can be applied in the following fields: natural language processing (NLP), healthcare automation, finance, and writing.
You can register from the GoLogica official website and choose the Generative AI Master’s Program to register for the course.
The program is also available for international students. Both lectures and all the teaching materials are available online.
Yes, there are coding assignments, as integration with programming is a part of the program, mainly in Python and machine learning.
Your lab will include programming in Python, Tensorflow, or any model developed by OpenAI like ChatGPT, Natural language Processing frameworks like NLP, etc.
Yes, there are various quizzes and individual and group project check-ups that tell you if you’re on track in meeting the learning objectives.
Yes, you can slow down or speed up according to your preference, but the restrictions are well spelled out to switch between part-time and full time; you will have to contact the support team to discuss this.
Indeed, our program is crowned with a capstone project during which you will implement generative AI in practice to address a specific challenge.
In case you missed yesterday’s live, you can always watch the recorded version to get the necessary information.
The growth in demand for AI professionals is almost constant, and the successful completion of this program means one will be qualified to advance in any particular field in terms of Artificial Intelligence.
