Advanced Certification in
Generative AI & Prompt Engineering
In today’s rapidly evolving tech landscape, artificial intelligence is at the forefront of innovation, driving advancements across industries. As a software engineer, staying ahead of the curve is crucial. Our rigorous Generative AI program is designed to equip you with the skills and knowledge necessary to excel in this dynamic field.
This program’s hallmark is the inclusion of numerous hands-on projects. These projects are strategically integrated throughout the curriculum, reinforcing your theoretical understanding and enabling you to develop practical, real-world skills. By engaging with these projects, you’ll master the intricacies of Generative AI and gain the expertise required to create innovative AI solutions independently.
Program Highlights
DEVELOP 6 GENERATIVE
AI TOOLS
ENTIRELY PROJECT-BASED
LEARNING
6 HANDS-ON
PROJECTS
100% CONTINUED
MENTORSHIP SUPPORT
HYBRID LEARNING
(SELF PACED + LIVE CLASSES)
SESSIONS WITH SUBJECT MATTER EXPERTS
& INDUSTRY PROFESSSIONALS
PYTHON REFRESHER
COURSE
Introduction to Generative AI
Generative Artificial Intelligence (AI) is an exciting field within machine learning that focuses on the creation of new data samples that closely resemble real-world data distributions. Unlike traditional AI, which is often used for tasks like classification and prediction, generative AI allows machines to generate new content such as images, text, music, and even human-like conversations.
At the heart of generative AI are techniques like Generative Adversarial Networks (GANs), which involve two neural networks – a generator and a discriminator – competing against each other to produce increasingly realistic outputs. This innovative approach has led to remarkable advancements in various creative applications, including image synthesis, natural language generation, and art creation.
About the Program
Our Gen AI program is an intensive training for software engineers aiming to master advanced Gen AI. Starting with Python fundamentals, including data handling and object-oriented programming, participants advance to data manipulation with Pandas and NumPy, and data visualization using Matplotlib and Seaborn.
Key focuses include machine learning basics, neural networks, and comprehensive Natural Language Processing (NLP) training. Participants explore generative Gen AI concepts, including ethical considerations and prompt engineering, using tools like ChatGPT, DALL-E, and others.
Advanced topics cover GANs, VAEs, Langchain, and Huggingface for custom models and datasets. The program culminates in practical projects, applying skills to real-world Gen AI challenges.
Course Curriculum
CORE GEN AI, ADVANCED PROMPTING & PROGRAMMING ESSENTIALS
9 WEEKS
Foundational Concepts:
- Understand the basics and significance of Generative AI, including definitions, key concepts, and historical development
- Introduction to various models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Diffusion Models
- Explore real-world applications across industries such as healthcare, finance, entertainment, and more
- Deep dive into Large Language Models (LLMs) like GPT-3.5/4
- Learn the ethical implications and responsible use of Generative AI through case studies and practical examples
- Gain foundational knowledge in programming essentials, including Python, data structures, algorithms, and libraries (e.g., TensorFlow, PyTorch)
Essentials of Prompt Engineering:
- Cover the building blocks and key components of prompts
- Design effective prompts and enhance skills with advanced techniques, including Few-Shot and Zero-Shot Prompting
- Create complex prompt sequences through Prompt Chaining and understand the impact of different prompting strategies on AI performance, including the latest techniques such as chain-of- thought prompting and retrieval-augmented generation (RAG)
Exploration of AI Tools:
- Utilize powerful AI tools such as ChatGPT 3.5/4 for conversational AI, DALL-E 2 and Claude for stunning visuals and text generation
- Employ Synthesia and MidJourney for multimedia innovations, and GitHub Copilot, Perplexity, and Luma to boost coding and productivity
- Add newer AI tools like Google’s Bard and Microsoft’s Copilot suite
In-depth Study of GANs, VAEs, and Diffusion Models:
- Understand their architecture, explore different types and applications, and identify potential challenges and limitations
- Include recent enhancements in generative models, particularly in areas like image and text generation, and mention new architectures such as score-based generative models
Langchain and Huggingface:
- Learn about Langchain basics, practical applications, and building and customizing AI chains
- Get started with Huggingface, utilizing pre-trained models, fine-tuning them for specific tasks, and accessing diverse datasets
- Discuss recent advancements in model fine-tuning techniques
Comprehensive Understanding:
- Gain a comprehensive understanding of Transformer Architecture, including fundamentals, Encoder-Decoder Mechanisms, and the Self-Attention Mechanism
- Apply these concepts in Natural Language Processing (NLP) tasks to leverage the full potential of transformers, including updates on improved versions of BERT, GPT, and other state-of-the-art models, as well as new mechanisms like sparse transformers and efficient transformers
PROJECT MODULE
3 WEEKS
ETHICS AND FUTURE TRENDS IN AI
1 WEEK
Discussion on responsible AI and future developments
Mitigating Risks in AI Implementation
Responsible AI Practices and Frameworks
Exploring Emerging Trends and Advanced Technologies in AI
Real-world case studies on ethical dilemmas in AI
Interactive elements like debates and group discussions, including recent frameworks and guidelines for responsible AI usage and future trends like AI explainability and AI for social good.
Learning Outcomes
Python Proficiency and
Foundations
Object-Oriented Programming
(OOP) Mastery
Data Manipulation and
Visualization Skills
Machine Learning
Fundamentals
Neural Networks and
Deep Learning Basics
Natural Language Processing
(NLP) Foundations
Introduction to Generative AI
Advanced Gen AI Tools Proficiency
Advanced Gen AI
Techniques Understanding
Effective Prompt Engineering
and Huggingface Integration
Project-Based Learning and
Practical Application
Career Readiness in Gen AI
Course Fees
Invest in your success. Start your career in Gen AI today.
INR 80,000 (incl. of GST)
Who Should Apply
- Professionals currently working in AI or machine learning fields, looking to deepen their understanding and practical skills.
- Wanting to explore advanced topics such as neural networks, natural language processing (NLP), and generative AI.
- Entrepreneurs or technology leaders planning to integrate AI technologies into their businesses or startups.
- Needing comprehensive knowledge of AI tools and techniques for innovation and product development.
- Individuals with a technical background (e.g., computer science, engineering) and significant industry experience.
- Interested in transitioning into roles focused on AI, machine learning, or data science.
- Professionals with at least 5 years of experience in software development, engineering, or data analysis roles.
- Seeking to expand their skills into artificial intelligence, machine learning, advanced data science techniques and Python programming for advanced data manipulation, visualization and machine learning model developement.
- Academics or researchers with practical experience in AI-related research or teaching.
- Seeking to apply theoretical knowledge in practical AI applications and industry settings.
- Individuals from industries such as finance, healthcare, or manufacturing where AI and data science are increasingly important.
- Wanting to acquire skills to lead AI initiatives or enhance existing technological capabilities.
- Professionals from around the world interested in a structured and intensive program in AI and machine learning.
- Seeking to gain practical experience and credentials to advance their careers in global tech markets.
Tools Covered
FAQs
This program is ideal for professionals looking to deepen their understanding of Generative AI technologies and prompt engineering. If you’re an engineer, developer, or someone interested in building AI tools and solutions, this course is perfect for you.
You will gain hands-on experience in Generative AI, prompt engineering, and AI model development. The program covers advanced AI concepts and practical applications in various industries. You’ll build six AI tools, including a fully functional AI personal assistant.
Our program emphasizes a practical, hands-on approach with real-world projects, allowing participants to develop AI tools from scratch. You will also have access to industry expert sessions, active learning workshops, and personalized mentorship throughout the journey.
The program is delivered through a blend of self-paced learning, active learning sessions, industry expert sessions, applied learning projects, and full journey mentorship. This ensures a balanced and flexible learning experience tailored to your needs.
The program is designed with flexibility in mind, allowing you to learn at your own pace. However, to maximize the benefits of active learning and applied sessions, we recommend dedicating around 8-10 hours per week.
You’ll work on projects like building a personal AI assistant, healthcare assistant, language translation apps, and AI chatbots for platforms like WhatsApp and Telegram. These projects help you apply the concepts you’ve learned in real-world scenarios.
Yes, you will receive full mentorship support throughout the program. Our mentors will provide personalized guidance to help you navigate challenges, build your AI tools, and optimize your learning experience.
A basic understanding of programming and AI concepts is recommended. While the program is designed to help you master AI regardless of your background, prior knowledge in Python or machine learning will be beneficial.
In addition to mentorship, you will have access to a community of peers for collaboration and knowledge-sharing. Our instructors and support staff are also available to assist you throughout your learning journey.
Yes, you will receive an Advanced Certification in Generative AI and Prompt Engineering, which you can showcase on your resume and professional platforms like LinkedIn to enhance your career prospects.
Our pricing is more affordable compared to competitors like upGrad and Simplilearn, making this high-value program accessible to a wider audience. Contact us for more details on fees and payment plans.
You can enroll through our website or by contacting our admissions team. We recommend reaching out early as seats are limited and the program fills up quickly.
