Advanced Certification in Applied Gen AI and Agentic Systems
Master Generative AI, LLM-based AI Agents & Agentic systems
Learn from instructor-led sessions with real-world applications
Features a vast curriculum with 21 modules & capstone projects
Receive the advanced certificate in Applied Gen AI & Agentic Systems
Work with tools like ChatGPT, LangChain & AutoGPT
Ideal for IT professionals, students & entrepreneurs
Includes practical labs to build multimodal AI applications
Enjoy flexible learning that fits your personal schedule
Affordable payment choices available through instalments
4.85/55193 EnrolledEnrolled Learners
Overview
What will you learn from us:
- Master deep learning techniques using Keras and TensorFlow
- Build real-world NLP applications with ChatGPT and LangChain
- Implement reinforcement learning using Q-learning and Grid-world agents
- Develop AI agents using LangChain and AutoGPT frameworks
- Create multimodal AI models using GPT-4V and CLIP
- Fine-tune domain-specific LLMs for real-world applications
Upcoming sessions
Curriculum
1
Why deep learning?
2
ANN structure, activation functions
3
Feedforward and backpropagation
4
Build ANN using Keras
1
TensorFlow 2.x and Keras API
2
Loss functions and optimizers
3
Overfitting and underfitting
4
Train a churn model on tabular data
1
NLP use cases: chatbots, sentiment, classification
2
Preprocessing: tokenization, stop words, lemmatization
3
Vectorization: Bag of Words, TF-IDF
4
Hands-on: Sentiment analysis
1
Logistic regression and Naive Bayes
2
Word embeddings introduction
3
Build: spam or feedback classifier
1
CNN layers: filters, pooling, convolution
2
Applications: image classification, document scan
3
Hands-on: Use pre-built CNN (transfer learning)
1
Save/load models (Pickle, Joblib, TF)
2
Create Flask/FastAPI REST APIs
3
Deploy a model (e.g., churn or sentiment)
1
Agent, environment, state, action, reward
2
Exploration vs exploitation
3
Q-learning (tabular)
4
Hands-on: Grid-world agent simulation
1
Self-attention and multi-head attention
2
BERT vs GPT
3
Positional encoding
4
Hands-on: Text generation with transformer
1
Generator vs Discriminator
2
DCGAN, CycleGAN, StyleGAN
3
Hands-on: Synthetic image generation
1
Denoising Diffusion Probabilistic Models (DDPM)
2
Diffusion vs GANs
3
Tools: Stable Diffusion, DALL·E
4
Hands-on: Generate text-to-image outputs
1
GPT, Claude, Falcon, Mistral overview
2
Prompt engineering
3
Fine-tuning domain-specific LLMs
4
Hands-on: Legal/Medical chatbot
1
LangChain architecture
2
Vector databases (FAISS, Pinecone)
3
Build RAG pipeline
4
Hands-on: Doc-aware Q&A chatbot
1
Vision-Language Models: GPT-4V, CLIP, BLIP
2
Text-to-image/video/audio generation
3
Hands-on: Generate media from prompts
1
Content generation pipelines
2
Brand asset generation
3
Tools: Sora, Runway, DALL·E
1
Deep Q-Networks (DQN)
2
Policy Gradients
3
PPO (Proximal Policy Optimization)
4
Hands-on: Train an autonomous agent
1
Multi-agent collaboration
2
LangChain dynamic decision agents
3
Build a simple autonomous assistant
1
Task decomposition & planning
2
Reflex vs learning agents
3
CrewAI orchestration
4
Hands-on: Multi-agent research + writing task
1
LangChain tools: Google Search, Wolfram, Zapier
2
Agent memory: vector, long-term, summary
3
Context retention strategies
4
Hands-on: Web-aware document chatbot
1
OpenAI, Claude function calling
2
ReAct prompting strategy
3
Toolformer concept
4
Hands-on: Reasoning assistant with tools & APIs
1
Orchestrating prompt → tools → output
2
Guardrails, observability
3
Evaluation metrics: latency, task completion
4
Hands-on: AI assistant to summarize meetings, update CRM, draft reports
1
Ethics, safety, bias, hallucinations
2
Gradio, Streamlit, Hugging Face Spaces
3
Hands-on: Host your GenAI app publicly
1
LLM-powered task assistant with RAG
2
LangGraph + CrewAI agent orchestration
3
Integration with external tools/APIs (e.g., calendar, CRM, Google Search)
4
ReAct-based decision flow
5
Deployed on Streamlit or Hugging Face
6
Performance evaluation (task completion, responsiveness, hallucination %)
7
Meeting summarizer + action item generator
8
Business intelligence research assistant
9
Autonomous marketing campaign writer
10
Project planner with goal decomposition
Meet your Trainer
Our Trainers
Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.
We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.
Learning Outcomes
After you complete your training, you will be able to:
1
Create AI agents with LangChain, AutoGPT and CrewAI tailored for practical real-world applications
2
Master NLP techniques using ChatGPT, LangChain and transformer-based frameworks for advanced language processing tasks
3
Apply reinforcement learning through Q-learning, PPO methods and Grid-world simulations to solve dynamic problems
4
Build multimodal AI solutions integrating GPT-4V, CLIP and text-to-image models for innovative outputs
5
Generate synthetic images and datasets using GANs such as DCGAN and CycleGAN for diverse applications
6
Deploy autonomous AI solutions utilising CrewAI and LangGraph to deliver real-time intelligent performance
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
Prerequisites
Before enrolling in the Advanced Certification in Applied Gen AI and Agentic Systems, the eligibility requirements are as follows:
- Applicants should hold a B.E., B.Tech, M.E, M.Tech, M.Sc., MBA, or an equivalent master’s degree with at least 50% marks along with 1 year of professional work experience
- Candidates with a BSc, BA, LLB, CA, or BBA must have secured a minimum of 65% marks and possess 2 years of relevant professional experience. For non-engineering graduates, a high school-level mathematics background is mandatory
- Programming knowledge is required, with prior coding experience in Python being highly preferred
Overall ratings by our students
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Frequently asked questions
The Advanced Certification in Applied Gen AI and Agentic Systems is a specialised program designed to provide professionals with hands-on expertise in cutting-edge AI technologies. It covers advanced topics such as deep learning, natural language processing, generative AI and reinforcement learning. This prepares you to design intelligent and adaptive systems.
Unlike generic AI courses, our program emphasises applied learning with real-world projects using tools like LangChain, AutoGPT and transformers. We enable you to build autonomous agents and multimodal AI systems that drive innovation across industries.
The Advanced Certification in Applied Gen AI and Agentic Systems is designed for a wide range of candidates who want to build practical skills in Generative AI, LLM-based AI Agents and autonomous systems. Eligibility is flexible, focusing on knowledge, interest and career goals. Suitable candidates include:
- Professionals aiming to lead AI projects or innovation
- Students from engineering, computer science, or related fields seeking AI expertise
- Entrepreneurs exploring AI-driven solutions for their ventures
- Individuals with basic programming knowledge who want hands-on experience with tools like ChatGPT, LangChain, AutoGPT and CrewAI
Yes, the Advanced Certification in Applied Gen AI and Agentic Systems includes a dedicated capstone project designed to integrate all core concepts. You will apply skills in Generative AI, LLM-based AI Agents and autonomous systems to develop real-world applications, which simulates professional AI workflows.
These projects allow you to showcase reasoning, planning, memory and tool integration capabilities using tools like ChatGPT, LangChain, AutoGPT and CrewAI. Completing the capstone also contributes to a strong portfolio for career opportunities.
After completing the Advanced Certification in Applied Gen AI and Agentic Systems, you can pursue roles that utilise AI, LLMs and autonomous systems expertise. Key positions include AI Engineer, Machine Learning Specialist, Data Scientist and Generative AI Developer, where you design, implement and optimise intelligent solutions for businesses.
These roles span industries such as technology, healthcare, finance and logistics. Certified candidates also gain cross-industry mobility, leadership prospects and opportunities to contribute to cutting-edge AI projects globally.
Through the Advanced Certification in Applied Gen AI and Agentic Systems, you will gain hands-on experience using industry-relevant tools to build, test and deploy generative AI models. These tools are integral to mastering LLM-based AI agents and autonomous systems. These tools are:
- ChatGPT – for conversational AI and language model integration
- LangChain – to create chain-based AI workflows
- AutoGPT – for autonomous agent development
- CrewAI – to manage multi-agent systems and tool integration
In the Advanced Certification in Applied Gen AI and Agentic Systems, AutoGPT plays a key role in teaching autonomous agent development. You will learn how to design AI agents capable of performing complex tasks with minimal human intervention.
By working with AutoGPT, you gain practical experience in integrating tools, managing workflows and building self-directed AI applications. This in turn prepares you for real-world generative AI projects and advanced automation roles in the industry.
Yes, earning the Advanced Certification in Applied Gen AI and Agentic Systems allows you to build a professional portfolio showcasing your skills and projects. This portfolio shows your expertise in generative AI and autonomous agent systems that makes you more attractive to employers. This includes the following:
- Capstone AI projects demonstrating real-world problem solving
- GitHub repository of completed generative AI and agentic system models
- Samples of LLM-based AI agent implementations
- Practical applications using ChatGPT, LangChain, AutoGPT and CrewAI
Yes, you will be able to earn the Advanced Applied Gen AI and Agentic Systems certification if you are from different GCC location. We deliver the same industry-recognised Advanced Applied Gen AI and Agentic Systems training in different GCC countries for professionals globally. These regions are:
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